Procced Ing
Procced Ing
                          PROCEEDINGS
           The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                              Jointly held with
             The 5th International Symposium on Conservation and Management of Tropical Lakes
RCChE-2020
                                                                       Co-organized by:
 Organized by:
Supported by:
 Rare Earth Elements and Yittrium (REYs) Precipitation From Solid Waste Coal Fly Ash
               Using Oxalic Acid: Study on Response Surface Methodology
Aulia Nur Rahmawati1, Hotden Manurung1,2*, I Made Bendiyasa1,2, Himawan Tri Bayu Murti Petrus1,2,*
  1
      Departemen Teknik Kimia (Advanced Materials and Sustainable Mineral Processing Research Group), Fakultas Teknik,
                   Universitas Gadjah Mada. Jalan Grafika No. 2 Daerah Istimewa Yogyakarta 55281, Indonesia
      2
        Unconventional Geo-resources Research Center, Faculty of Engineering. Universitas Gadjah Mada, Jl. Grafika No. 2,
                                                      Yogyakarta, Indonesia
                                                  *bayupetrus@ugm.ac.id
Abstract
Rare earth elements and Yttrium called as REY become an important issue nowadays. REY is listed as a essential material in
many industries such as catalyst, batteries, metal alloy, ceramics, electronic devices, magnet, glass and military defence system.
In last decade, the supply and demand of REY is in disequilibrium due to the increasing demand annually. Currently, China
is the largest producer of REY in the world with control over 95% from total world’s production. Regarding to the Chinese
goverment regulation about export restriction, including REY have created constrains in REY supply in many countries
including Indonesia. Due to this condition, many researchers from various countries have been looking for the alternative
source of REE such as red mud, zircon sand, spent catalyst, spent battries, coal and coal fly ash. Coal fly ash is listed as one
of promising alternative sources of REY. In this presents study, coal fly ash as a raw material. REY precipitation is the last
step for REY extraction from coal fly ash after conducting many steps such as physical separation (enrichment), alkaline
leaching and acid leaching. In order to optimize the REY precipitation, the varible study were as temperature, pH levels and
volume-to-volume ratio. Currently, several nano particle have been succesfully created after multilevel precipitation but still
waiting for analysis using EDX and ICP-MS to indentify the REY concentration on the nano particle.
Keywords: acid leaching, coal fly ash, precipitation, rare earth elements
                                                             1
used in the construction sector. However, currently there are     and the filtrate was dried and then analyzed with EDX. The
not many industrial-scale technologies that can take              final stage is the precipitation of rare earth metals from the
advantage of REY in flying ash. Therefore, It is necessary to     leaching solution pH 5 using oxalic acid (H2C2O4) with
do more in-depth research on the extraction of REY from fly       several variations, namely process temperature,
ash waste to separate REY from fly ash waste using                concentration of oxalic acid and the ratio of the volume of
precipitation method.                                             the leaching solution to oxalic acid. REY sediment was then
    This study aims to obtain optimal conditions in the           dried at 100 ºC for 3 hours and calcination at 1000 ºC for 4
separation of REY so that the highest levels of REY can be        hours.
obtained from fly ash waste. This is the background of this
research, so that in addition to being used as a source of REY    2.3. Analytical methods
collection, it is also a step in reducing environmental               Fly ash from coal combustion solid waste, was analyzed
pollution.                                                        using ICP-MS. The resulting solids were then analyzed by
                                                                  EDX to determine the percentage of REY that had been
II. Materials and Methods                                         precipitated. The results of precipitation were then analyzed
                                                                  using the Response Surface Method (RSM). RSM functions
2.1. Sampling sites
                                                                  is to develop, improve, and optimize the process of
    Raw material for fly ash was obtained from PT.
                                                                  determining the optimum formulation for REY precipitation
Pembangkit Listrik Tanjung Awar-Awar Tuban Indonesia
                                                                  [3].
Corporation. This raw material is a type of sub-bituminous
coal originating from Kalimantan.
                                                                  III. Results and Discussion
                                                                  3.1. Fly Ash Raw Material Elements
2.2. Experimental set-up
                                                                      Fly ash, which is the raw material for obtaining REY,
    Coal fly ash originating from the PLTU Tanjung Awar-
                                                                  was sieved first to smooth the granules until it passes 400
Awar Tuban were pulverized to a size of 400 mesh and
                                                                  mesh. The Resulted Granules was then analyzed with ICP-
analyzed using ICP-MS and XRD. Furthermore, the
                                                                  MS. The results of the analysis of REY content with ICP can
resulting components of this process become non-magnetic
                                                                  be seen in Table 1.
components. This component is obtained through separation
                                                                  Tabel 1. Elemental compositions of industrial coal fly ash.
process using a wet magnetic separation device with a strong
                                                                  (Concentrasions of major oxide given in %, REY in ppm).
current of 2A. Magnetic wet separation aims to separate
                                                                   Element                     Tuban
magnetic and non-magnetic fly ash using tools from the
Mineral and Coal Technology Research and Development                     SiO2                   50.9
Center, Bandung. Next step is digest process the non-                    Al2O3                  28.7
magnetic fly ash using 8 M concentration of NaOH,                        Fe2O3                   9.0
                                                                          CaO                    3.3
temperature 90 ºC. for 120 minutes.
                                                                         MgO                     2.2
    The mixture was then filtered and washed using distilled             Na2O                    0.8
water as much as 60 times the weight of the dry sample.                   K2O                    0.9
Furthermore, the washing results were filtered and dried in              TiO2                    1.0
the oven for 4 hours. The resulting fly ash was then leached               La                   42.3
with 3M concentration of HCl with a solid / liquid (S / L)                 Ce                   84.9
                                                                           Pr                    9.7
ratio of 1:10, temperature 90 º C for 4 hours. The leaching
                                                                          Nd                    37.4
results were then filtered to separate the leaching solution              Sm                     7.7
from the filtrate. The next step is the addition of CaCO3 until            Eu                    1.7
the pH of the mixture reaches 3.5 ± 0.2 with 2 hours stirring             Gd                     7.7
so that the mixture is stable, then filtered as a pH 3.5                   Tb                    1.3
leaching solution and the filtrate is dried. The pH 3.5                   Dy                     7.8
leaching solution is added with Ca (OH) 2 until the pH of                 Ho                     1.8
                                                                           Er                    5.1
the mixture reaches 5 ± 0.2 with 2 hours stirring so that the
                                                                          Tm                     0.8
mixture is stable, then filtered as a pH 5 leaching solution
                                                             2
         Yb                     5.0                               3.4. Precipitation Results
         Lu                     0.8
                                                                      In this deposition process, the purification process is first
         Y                     46.4
                                                                  carried out by increasing the pH of the leaching solution to
Source: Rosita et. all [2]                                        5 ± 0.2 with the addition of 10% b/b 𝐶𝑎𝐶𝑂3 and
    Based on the results of the characterization, a Coutlock      𝐶𝑎(𝑂𝐻)3 . During this process the mixture is stirred to keep
[4] calculation can be performed to determine the feasibility     the mixture suspended for 2 hours and then stored for 24
of REY extraction from coal fly ash at PLTU Paiton Tanjung        hours. The mixture was then filtered to separate the leaching
Awar-Awar. The REY concentration value is shown in                solution and the residue was dried, calcined and analyzed
Equation 1.                                                       using EDX. Purification purposes using 𝐶𝑎𝐶𝑂3 and
               ((𝑁𝑑+𝐸𝑢+𝑇𝑏+𝐷𝑦+𝐸𝑟+𝑌)/𝛴𝑅𝐸𝑌)
𝐶𝑜𝑢𝑡𝑙𝑜𝑜𝑘 =                                  (P1)                  𝐶𝑎(𝑂𝐻)3 was to be able to remove or reduce the levels of
                ((𝐶𝑒+𝐻𝑝+𝑇𝑚+𝑌𝑏+𝐿𝑢)/𝛴𝑅𝐸𝑌)
             ((37.4 + 1.7 + 1.3 + 7.8 + 5.1 + 46.4)/𝛴𝑅𝐸𝑌)         impurities in the REY solution such as Fe, P, Al and Th in
           =                                                      the liquid 𝑅𝐸𝐸2 (𝐶𝑙)3(𝑙𝑖𝑞) (Silva et.all, 2018).
                 ((84.9 + 0 + 0.8 + 5.0 + 0.8)/𝛴𝑅𝐸𝑌)
           = 1.091(> 0.7)                                             The precipitation process is carried out using 𝐶2 𝐻2 𝑂4
    From the result of Equation 1, the Coutlook value is          with variations in process temperature, variations in the
1,091 (> 0.7) so it can be concluded that the coal fly ash from   concentration of 𝐶2 𝐻2 𝑂4 and and variations in the volume
PLTU Tanjung Awar-Awar Tuban is suitable for extraction           ratio (v / v) of fluid 𝑅𝐸𝐸2 (𝐶𝑙)3(𝑙𝑖𝑞) : 𝐶2 𝐻2 𝑂4 . The variation
as a source of REY.                                               of process temperature used is 25°C, 60 °C and 80 °C. The
                                                                  variation in the concentration of 𝐶2 𝐻2 𝑂4 was 5% and 10% .
3.2. Hasil Pemisahan Wet Magnetik                                 For variations in the volume ratio (v/v) 𝑅𝐸𝐸2 (𝐶𝑙)3(𝑙𝑖𝑞) :
    Furthermore, fly ash was separated by a wet magnetic          𝐶2 𝐻2 𝑂4 was 2:1, 1:1 and 1:2. REE solution with a volume
process, to obtain non-magnetic (NM) fly ash, with the            according to the variation then adjusted the temperature
results in accordance with Figure 1.                              according to the variation of the 𝐶2 𝐻2 𝑂4 slowly
                                                                  (2,5mL/minute) to prevent the formation of poor quality
                                                                  crystals. The EDX analysis results of precipitation with
                                                                  variations in temperature treatment can be seen in Table 2.
                                                             3
concentration. This may occur due to excess oxalic acid         Department (Advanced Materials and Sustainable Mineral
which can cause the deposition of calcium and aluminum          Processing Research Group), Faculty of Engineering,
oxalate [7].                                                    Gadjah Mada University and Unconventional Geo-
3.4. Analysis of Response Surface Methode                       Resources Research Center, Faculty of Engineering. Gadjah
   From the P-Value of Figure 3. The three variables do not     Mada University.
have a significant effect on the percent yield of REO
precipitation (P> 0.5).                                         References
Acknowledgement
   We are thankful to the Chemical Engineering
                                                          4
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Naing Min Tun1*, Wai Hnin Phyu Phyu2, Aung Than Htwe3
                                    1,3
                                       Department of Chemistry, University of Yangon,
                                  University Avenue Road., P.O. 11041, Yangon, Myanmar
                                     2
                                       Department of Chemistry, Monywa University,
                                            Kyaukka Road., Monywa, Myanmar
                                                 *nainglay20@gmail.com
Abstract
    This research was conducted to find the removal potential of amorphous silica from the source of agricultural by-product
rice husk. Rice husk abundant agricultural by-product in Myanmar, it was used to produce amorphous silica in water rinsed
and different acid-treated (HCl, H2SO4, H3PO4) by the sol-gel method. The as-prepared silica was characterized by energy
dispersive X-ray fluorescence (EDXRF) analysis, X-ray differential (XRD) analysis, and Fourier transform infrared (FT IR)
spectroscopy analysis. From the obtained results, all kinds of samples composed of amorphous silica and the silica content
above 99 % by quantitatively. Continuously, the as-prepared silica was used as an adsorbent for the removal of methylene
blue (MB) from aqueous solution. In the experimental investigations were carried out the effect of contact time, the effect of
adsorbent dosage, and the initial dye concentration. The equilibrium data were fitted to the linear form of Langmuir and
Freundlich isotherm. Langmuir isotherm model was the best R2 value than the Freundlich isotherm. The maximum monolayer
adsorption capacity of MB on silica was found in 17.5438 mg/g for Si-4 with the correlation coefficients R2 value of 0.9987.
Keywords: Adsorbent, amorphous silica, Langmuir isotherm, Freundlich isotherm, rice husk
                                                            5
purpose of this study is to remove the methylene blue from        oxide form.
aqueous solution using a high purity of amorphous silica
from rice husk as agricultural waste.                             3.1 XRD Analysis
                                                                       Fig. 1 shows the X-ray diffraction profiles of SiO2
II. Materials and Methods                                         particles from rice husk Si-1 untreated, and different acid-
                                                                  treated samples Si-2, Si-3, and Si-4. As the X-ray
2.1. Preparation of silica particles                              diffractograms of all profiles are not having any sharp peaks,
    The preparation of silica particles was carried out           the following samples were amorphous in nature. In the
according to the described method [1]. In this research, the      diffractograms of all samples, a broad single peak appeared
procedure was modified the sonication of sodium silicate by       at the range of 20-23º (2θ), it was indicated that the presence
addition of 5 mL of ethanol after refluxing with HCl. The as-     of only amorphous silica by [1, 9]. According to Fig. 1, all
prepared samples of SiO2 were nominated for untreated or          samples are observed the same amorphous nature pattern as
distilled water rinsed (Si-1), with hydrochloric acid-treated     each other.
(Si-2), for sulphuric acid-treated (Si-3), and for phosphoric
                                                                                    25000
acid-treated sample (Si-4). The extraction process and
                                                                                                               Si-1
purification of the silica occurred according to equations 1                        20000
                                                                   Intensity, cps
                                                                                                               Si-2
and 2, respectively [1].                                                            15000
                                                                                                               Si-3
  SiO2(Ash) + 2NaOH → Na2SiO3 + H2O                  (Eq.1)                         10000                      Si-4
  Na2SiO3 + H2SO4 → SiO2 + Na2SO4 + H2O              (Eq.2)                         5000
2.2. Experimental                                                                      0
                                                                                            10
                                                                                            14
                                                                                            18
                                                                                            21
                                                                                            25
                                                                                            29
                                                                                            33
                                                                                            36
                                                                                            40
                                                                                            44
                                                                                            48
                                                                                            51
                                                                                            55
                                                                                            59
                                                                                            63
                                                                                            66
2.2.1 Characterization of silica particles
    The as-prepared silica powder was used for XRD                                          2θ (deg)
analysis (Rigaku X-ray Diffractometer). The elemental             Fig 1. The XRD pattern of silica (Si-1, Si-2, Si-3, and Si-4)
composition of the obtained silica samples was determined
by (EDXRF) (Shimadzu EDX 7000, EDXRF Spectrometer),               3.2 FT IR analysis
and The binding of functional groups of silica was identified
by FT IR analysis.                                                    The FT IR analysis of silica particle samples was carried
                                                                  out in the wave number 400-4000 cm-1. Fig. 2 shows the FT
2.2.2 Removal of methylene blue (MB) by using
                                                                  IR profiles untreated (Si-1) and acid-treated (Si-2, Si-3, and
    amorphous silica
                                                                  Si-4) silica particles. Normally, the FT IR spectra of all silica
    About 0.03 g of silica was mixed with 60 mL of
                                                                  samples detected the typical bands of O-Si-O stretching at
methylene blue with a known concentration. The mixture
                                                                  1,065-1075 cm-1 and 797-799 cm-1 and the bending
was shaken with a linear shaker at 300 rpm at a specific time.
                                                                  vibrations at 450-454 cm-1 [1].
The mixture was allowed to settle at definite times and was
centrifuged at about 5000 rpm for 10 min. The separated
phase of the aliquot was analyzed by PD-303
spectrophotometer with a wavelength of 665 nm.
                                                              6
but also the taken times and the amount of dosage. Fig. 3                  energy term of the Langmuir equation varies as a function of
shows the adsorption capacity of silica samples Si-1, Si-2,                the surface coverage [12]. The empirical equation of
Si-3, and Si-4 depend on adsorption times with the same                    Freundlich isotherm is given as follows [13]:
concentration of MB 10 mg/L at 32 °C. This figure shows                                        q𝑒 = K𝑓 (𝐶𝑒 )1⁄𝑛                 (Eq.7)
that the adsorption efficiency of MB by Si-1, Si-2, Si-3, and              The Freundlich equation can be linearized in logarithmic
Si-4 gradually increases by the time until 7 h. For the first                 form described as following:
time, the adsorption capacity was reached at a minimum of                                                        1
                                                                                            log q𝑒 = log K 𝑓 + log 𝐶𝑒                   (Eq.8)
                                                                                                                 𝑛
7 mg/g for Si-2 to a maximum of 16 mg/g for Si-4 at 20 min.
       25                                                                  Where Ce is the equilibrium concentration of the adsorbate
                                                                           (mg/L), qe is the amount of adsorbate adsorbed per unit mass
             20                                                            of adsorbent (mg/g), Kf and n are the Freundlich isotherm
 qe (mg/g)
             15                                                            constants.
                                                           Si-1                The value of 1/n possible ranging between 0 and 1, if the
             10                                            Si-2
                                                           Si-3
                                                                           value is closer to zero become more favourable the
             5                                                             heterogeneous system [14]. The Freundlich isotherm model
                                                           Si-4
             0                                                             data fitting of Si-1, Si-2, Si-3, and Si-4 are shown in Fig. 5.
                  0   1         2          3      4    5   6      7                  0.5
                                            t (h)                                                  Si-1
  Fig 3. The variation of adsorption capacity with time
                                                                                     0.4           Si-2
                                                                                     0.3           Si-3
3.4 Adsorption isotherm                                                                            Si-4
                                                                           Ce/qe
                                                                                     0.2
                           (𝐶0 − 𝐶𝑒)
                      𝑅=               × 100                      (Eq.4)                                  0.6                Si-2
                                𝐶0
    The generalized Langmuir isotherm can be represented
                                                                                                          0.4                Si-3
                                                                                                          0.2                Si-4
by the following equation [11]:
                                                                                                            0
                              𝑚 𝑋     𝐾𝐿 𝐶𝑒
                      q𝑒 = [ 1+       𝐾𝐿𝐶𝑒
                                              ]                   (Eq.5)           -1            -0.5           0            0.5        1
                                                                                                              log Ce
Its linear form can be expressed as:
                           C𝑒          1          1                        Fig. 5. Freundlich adsorption isotherm of methylene blue
                                =𝑋            + 𝑋 𝐶𝑒              (Eq.6)
                           q𝑒         𝑚 𝐾𝐿        𝑚                        onto silica particles (Si-1, Si-2, Si-3, and Si-4)
Where Ce is the equilibrium concentration (mg L-1) of MB
in the solution after adsorption, Xm is the amount of MB                       The isotherm parameters and correlation coefficients (R2)
adsorption capacity on the adsorbent (mg g-1) and KL is the                were obtained from linear fitting. Tables 3 and 4 show the
equilibrium constant related to the energy of adsorption (L                maximum amount of Xm of MB onto sample Si-4 were
mg-1). The Langmuir isotherm model of Si-1, Si-2, Si-3, and                conducted about 17.5438 mg g-1 and for Si-2 was found
                                                                           13.8696 mg g-1. According to the obtained results, the
Si-4 are shown in Fig. 4.
                                                                           correlation coefficients of Langmuir isotherm are more
    On the other hand, the Freundlich isotherm assumes to                  relevant than Freundlich isotherm.
describe the equilibrium of heterogeneous surfaces and
hence does not assume monolayer capacity. In which the
                                                                      7
Table 3. Langmuir isotherm constants and correlation              Production of silica nanoparticles from rice husk as
coefficients for adsorption of methylene blue onto silica         agricultural waste by environmental friendly technique.
 Sample            Langmuir isotherm parameters                   Environmental Studies of Persian Gulf 2(1), 56-65.
             Xm (mg g-1) KL (L g-1)        R2         RL      [3] Chakraverty, A., Kaleemullah, S., 1991. Conver-sion of
   Si-1        16.2601        3.2190     0.9885 0.9688            rice husk into amorphous silica and combu-stible gas.
   Si-2        13.8696        1.8115     0.9971 0.9822            Energy Convers. Mgmt. 32, 565-570.
   Si-3        16.6944        1.9966     0.9991 0.9804        [4] Liou, T. -H., Yang C. -C., 2011. Synthesis and surface
   Si-4        17.5438        2.4152     0.9987 0.9764            characteristics of nanosilica produced from alkali-
                                                                  extracted rice husk ash. Materials Science and
Table 4. Freundlich isotherm constants and correlation            Engineering 176(7), 521-529.
coefficients for adsorption of methylene blue onto silica     [5] Foletto, E. L., Gratieri, E., Oliveira, L. H. de, Jahn, S.
      Sample       Freundlich isotherm parameters                 L., 2006. Conversion of rice hull ash into soluble
                     Kf           n           R2                  sodium silicate. Materials Research 9(3), 335–338.
        Si-1      10.6316      3.0312       0.8991            [6] Hussein, A. M., El-Saied, H., Yasin, M. H., 1992.
        Si-2       8.0612      3.3749       0.9551                Bioconversion of hemicelluloses of rice hull black
        Si-3       9.7836      3.0184       0.9594                liquor into single-cell protein. Journal of Chemical
        Si-4      10.8118      3.0075       0.9368                Technology and Biotechnology 53, 147-152.
                                                              [7] Singh, A., Das, K., Sharma, D. K., 1984. Produ-ction of
                                                                  reducing sugars from bagasse and rice husk by acid
IV. Conclusions                                                   hydrolysis. Agricultural Wastes 9, 131-145.
    The characterization of silica by EDXRF, XRD, and FT      [8] Sharma, P., Kaur, R., Baskar, C., Chung, W.-J.,
IR analysis was confirmed the quantitative presence of SiO2       2010. Removal of methylene blue from aqueous waste
above 99 % and the amorphous silica. The adsorption of MB         using rice husk and rice husk ash. Desalination 259(1-
onto silica was investigated favorable and represented by         3), 249–257.
Langmuir and Freundlich isotherm. Langmuir isotherm           [9] Hassan, A. F., Abdelghny, A. M., Elhadidy H., Youssef.
showed that the better fitting the experimental data than         A. M., 2014. Synthesis and character-rization of high
Freundlich isotherm. The linear correlation coefficients R2       surface area nanosilica from rice husk ash by surfactant-
of Langmuir isotherm showed above the range of 0.9885 to          free sol-gel method. Journal of Sol-Gel Science and
0.9991experimental data and for the Freundlich isotherm           Technology 69, 465-472.
from 0.8991 to 0.9594 varying depending on the sample         [10] Ge, X., Liu, J., Song, X., Wang, G., Zhang, H., Zhang,
nature.                                                           Y., Zhao, H., 2016. Hierarchical iron containing γ-MnO
Acknowledgments                                                   2 hollow microspheres: A facile one-step synthesis and
   I would like to thanks Dr Ni Ni Than, Professor (Head),        effective removal of As(III) via oxidation and
Department of Chemistry, University of Yangon, for her            adsorption. Chemical Engineering Journal 301, 139–
suggestion and comments. I would like to also express my          148.
deep gratitude to organizers of RCChE2020 and                 [11] Langmuir, L., 1918. Adsoption of gases on plane
AUN/SEED-Net for submitting of research paper to present          surfaces of glass, mica and platinum. Journal of
at “The 13th AUN/SEED-Net Regional Conference on                  American Chemical Society 40, 1361–1403.
Chemical Engineering 2020”.                                   [12] Weber, T. W., Chakkravorti, R. K., 1974. Pore and
                                                                  solid diffusion models for fixed-bed adsorbers, AlChE
References                                                        Journal 20(2), 228-238.
[1] Rafiee, E., Shahebrahimi, S., Feyzi, M., Shaterzadeh,     [13] Freundlich, H. M. F., 1906. Over the adsorption in
    M.,     2012. Optimization      of    synthesis    and        solution. The Journal of Physical Chemistry 57A, 385–
    characterization of nanosilica produced from rice husk        471.
    (a common waste material). International Nano Letters     [14] Haghseresht, F., Lu, G., 1998. Adsorption
    2(1), 1-8.                                                    characteristics of phenolic compounds onto coal-reject-
[2] Ghorbani, F., Sanati, A. M., Maleki, M., 2015.                derived adsorbents. Energy Fuels 12, 1100–1107.
                                                         8
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
               1
                   Department of Chemical Engineering, Faculty of Engineering, Gadjah Mada University,
                                          55381 Sleman, Yogyakarta, Indonesia
* profesifarida@gmail.com
Abstract
One of alternative treatment that mostly used to reduce the level of wastewater problem is adsorption. This research focuses
on the finding of the capacity of adsorption which represent maximum removal of Cr from water. The used adsorbent was a
composite of chitosan and activated carbon. Started with 20 grams of activated carbon poured into 1000 ml of chitosan
solution. Medium heating and constant stirring make this solution changed its viscosity and gradually looked like gel. Bead
formation had been obtained by slowly pumped the gel into the solution of NaOH 0,7 M. Finally, the adsorbent needed to be
neutralized and dried at temperature of 50oC. The adsorption experiment used a Chromium solution 20 ppm with variation of
adsorbent mass arranged as 0.5gram, 1 gram, and 1.5 gram at temperature of 298 K, 308 K, and 318 K. The concentration of
Cr in wastewater solution were measured every 10, 20, 40, 60, 120, 180, and 210 minutes. The adsorbent characteristics were
analysed using XRD, BET, SEM, and FTIR for its crystallinity, surface area, surface morphology and functional groups. XRD
graphic showed the adsorbent was an amorphous solid. Currently, the adsorbent characteristics were being analysed. BET
result will informs whether the surface area on its pores were increased or not than its original material. Data of Cr (VI) that
dispersed onto the bead composite could be determined by SEM or EDX analysis. Then, FTIR data analysis will gives
information about its functional group, it will confirm whether chitosan is really coated on the activated carbon’s surface or
not. Generally, by gathering all the experiment data will inform the result of the adsorption process in term of its adsorption
equilibrium.
Keywords: Activated Carbon, Adsorption, Bead Composite, Chitosan and Cr (VI) ion
I. Introduction                                                   for the removal of heavy metal ions from industrial effluents.
                                                                  Among these processes, the most promising efficient
    Heavy metals present in the water as contaminants is a
                                                                  technique has been identified as adsorption with a suitable
problem and a threat to human and ecosystem in various
                                                                  adsorbent.[1] This is really a serious environmental issue
countries. Many considerable methods and efforts are being
                                                                  related to wastewater treatment.
made to decrease the concentration of heavy metals in the
                                                                      Reported that Cr is used on a large scale in many
effluent wastewater to permissible discharge levels set by
                                                                  different industries as plating, alloying, tanning of animal
pollution control and regulatory authorities of each country.
                                                                  hides, inhibition of water corrosion, textile dyes and
A wide range of processes such as chemical precipitation,
                                                                  mordants, pigments, ceramic glazes, refractory bricks, and
ion exchange, membrane filtration, electrolytic method,
                                                                  pressure-treated lumber.[2] If the effluent wastewater from
coagulation, reverse osmosis and adsorption are being used
                                                                  these industries did not met the standard authorized by
                                                           9
pollution control and regulatory authorities, some pollution      2.2. Preparation of Adsorbent
problem may occurred as the negative impact.                          The preparation of adsorbent was started with preparing
    Actually, chromium has several oxidation states ranging       the materials. The raw material used were active carbon and
from Cr(−II) to Cr(+VI). The trivalent and hexavalent states      chitosan. Each material needs some pre-treatment in order to
are the most stable, although Cr with valences of I, II, IV and   make a good composite.
V have also been shown to exist in a number of                        Particle size is an important factor to make a good
compounds.[3]                                                     composite. The active carbon used in this experiment was
    Generally the trivalent Cr is considered not harmful. It is   the active carbon with its particle size was 100mesh. And for
needed by human for metabolism, but only in a little amount.      the chitosan, it was 80mesh.
But in contrast, the hexavalent Cr is considered the most             After the particle size was determined, about 40gram of
toxic forms of chromium, as it presents high oxidizing            active carbon need to be soaked in oxalic acid 250ml 0.2M
potential, high solubility, and mobility across the               for 4 hours. This step was done for keeping the activation of
membranes in living organisms and in the environment.             the carbon. After neutralized with distilled water, the
    In recent years, contamination of the environment by          activated carbons need to be dried to eliminate the water
Chromium (Cr), especially hexavalent Cr, has become a             inside.
major area of concern. Because of that, constant monitoring           Same solution for the chitosan, oxalic acid 1000ml 0.2M
and analysis of chromium becomes a necessity. [3,4]               was also needed to dissolve 20gram of chitosan. This step
    In the aquatic environment, the toxicity of Cr(VI) has        was done for making the chitosan viscous gel. The form of
been shown to be greater than Cr(III).[4] Other problem is        gel can be obtained by heating and stirring the solution in
that Cr(III) can be oxidized and changed became Cr(VI).           the same time.
    Cr(III) in the forms of oxides, hydroxides, and sulphates         The dried activated carbon need to be poured into the
is less toxic as it is relatively insoluble in water, presents    chitosan solution after its viscosity became higher. Constant
lower mobility, and is mainly bound to organic matter in soil     stirring still need to be maintained. The mixture was also
and aquatic environments. Moreover, Cr(III) forms tend to         heated at 40-50ºC to facilitate mixing. It was important to
form hydroxide precipitates with Fe at typical ground water       the homogeneity of the compositing process between
pH values. At high concentrations of oxygen or Mn oxides,         activated carbon and chitosan.
Cr(III) can be oxidized to Cr(VI).[5,6] Oxidation of Cr(III)          For the best condition, it was used the magnetic stirrer
to Cr(VI) represents a significant environmental hazard           tools that had a temperature controller on its side because the
because a relatively nontoxic species is transformed into a       heating and stirring were supposed to be held in the same
more toxic one.[2]                                                time.
    Chitosan is good adsorbent because of its active group            The next step was slowly pumping the gel into some
and widely used in the removal process of heavy metal in          solution to gain the bead formation. The needed solution was
wastewater. And activated carbons are unique and versatile        NaOH 0,7M. Soon after the pumped gel dropped and
adsorbents because of the availability of extensive surface       contacted with the solution, its form was changed into some
area, its micro porous structure and high adsorption              spherical bead of solid that moved to the ground of the
capacity.[1]                                                      solution. It took some time to let the bead composite
    The objective of this study was to demonstrate the            formation was stabilized.
adsorption performance where the adsorbent is a bead                  The beads were still needed to be neutralized with distil-
composite for the removal of Cr (VI) ion in water. The bead       led water and then dried at the temperature of 50oC so the
composite was a modified of activated carbon and chitosan.        beads were ready to be characterized and used as the
                                                                  adsorbent in the adsorption process.
II. Materials and Methods
                                                                  2.3. Experimental set-up
2.1. Materials
                                                                      Adsorption experiments were carried out in the batch
    Active Carbon was purchased from Alfa Kimia
                                                                  contact method. The used media was a water bath shaker
(Yogyakarta, Indonesia) and for the Chitosan was from
                                                                  where some erlenmeyers can be arranged in it.
Monodon Group (Lampung, Indonesia).
                                                                      The adsorption experiment used a Chromium soluti
                                                            10
on 20 ppm with the independent variables were adsorb             other words, the adsorption rate and the desorption rate are
ent mass, time and temperature.                                  equal.
    Variation of adsorbent mass arranged as 0.5gram, 1               Equation of equilibrium in adsorption is usually
gram, and 1.5 gram at temperature of 298 K, 308 K,               performed as adsorption isotherm. This equation defines the
and 318 K. The concentration of Cr in wastewater sol             connection between the concentration of ion in a liquid
ution were measured every 10, 20, 40, 60, 120, 180,              phase with the concentration that adsorbed in the surface of
and 210 minutes.                                                 adsorbent. In aqueous system, there are Langmuir Isotherm
                                                                 and Freundlich Isotherm.
2.4. Analytical methods                                              Langmuir Isotherm is usually used for the adsorption
                                                                 model which the adsorbate molecule is adsorbed in one layer
X-Ray Diffraction (XRD) analysis                                 (monolayer) in the surface of adsorbent. It means that all the
   X-Ray Diffraction analysis were performed in order to         adsorbed molecule does not have interaction each other and
define the change of microstructure in the adsorbent material.   all the surface area of the adsorbent have the same affinity
XRD result analysis also contain of information on               level to the adsorbate. Contrarily, Freundlich Isotherm is
amorphous and crystalline nature of particles.                   used when the adsorption model was multilayer. It means
                                                                 that there is a possibility that each surface of the adsorbent
Fourier transforms infrared (FTIR) spectroscopy                  may have different functional group.
   The prepared samples were prepared from the bead
composite and bead composite after adsorption. The FTIR                                  𝑞𝑚 𝐾𝑙 𝐶𝑒
                                                                                  𝑞𝑒 =                                (Eq.1)
analysis were performed to compare the functional group.                                 1 + 𝐾𝑙 𝐶𝑒
So the result will confirm whether chitosan is really
coated on the activated carbon’s surface or not.                               𝐶𝑒     1    1
                                                                                  =      +   𝐶                        (Eq.2)
                                                                               𝑞𝑚   𝑞𝑚 𝐾𝑙 𝑞𝑚 𝑒
BET analysis
                                                                                                 1
    The prepared samples were tested and recorded on a                                          ( )                   (Eq.3)
                                                                                   𝑞𝑒 = 𝐾𝑓 𝐶𝑒    𝑛
Quantachrome NovaWin - Data Acquisition and Reduction
for NOVA instruments 1994-2013, Quantachrome
                                                                                          1
Instruments version 11.03.                                                 𝐿𝑜𝑔𝑞𝑒 = 𝐿𝑜𝑔𝐾𝑓 + 𝐿𝑜𝑔𝐶𝑒                      (Eq.4)
                                                                                          𝑛
    Samples for the BET analysis were prepared from the
raw material (chitosan) and the bead composite adsorbent.        where 𝑞𝑒 is amount of ion that adsorbed when equilibrium,
BET analysis was performed to compare the surface area           𝑞𝑚 is the maximum adsorption capacity of ion, 𝐾𝑙 is the
and pore volume.
                                                                 constant of Langmuir Isotherm, 𝐾𝑓 is the constant of
                                                                 Freundlich Isotherm, 𝐶𝑒 is the concentration of solution
SEM analysis
                                                                 when equilibrium.
    A scanning electron microscope inter-phased with an
                                                                     The equations above are used to determine the
electron dispersive X-ray spectrometer was used to study the
                                                                 favorability of the adsorption system. (Eq.1) and (Eq.2) for
surface morphologies and elemental analysis of the bead
                                                                 the Langmuir isotherm, (Eq.3) and (Eq.4) for the Freundlich
composite before and after adsorption. The result of SEM
                                                                 isotherm.
analysis will show the data of Cr (VI) that dispersed on-
to the bead composite. The result also can be confirm
                                                                      I.       Results and Discussion
ed with conduct the EDX analysis.
                                                                    Result of the X-Ray Diffraction (XRD) analysis for the
Adsorption Equilibrium                                           bead composite adsorbent is shown in Table 1. As shown in
    Adsorption equilibrium is obtained when the solid            Table 1 and imagined in Fig. 1, the strongest peak of
adsorbent has contact with the adsorbate molecule and then       adsorbent samples were 2θ = 25.9800°, 27.2443°, and
there is movement from the solution to the solid adsorbent       28.1800°.
make both concentration in solution and solid is equal. In
                                                          11
Table 1. Strongest Peak X-Ray Diffraction Analysis                                                           surface area. The form of bead composite is actually a stable
                                                                                                             form of modification composite, it is easy to mobile in the
 No                              Peak Number                                       2Theta (deg)              solution and easy to be investigated in the process of
 1                               29                                                     25.9800              removal of Cr(VI) in water. But actually the initial diameter
 2                               31                                                     27.2443              or size of the spherical bead should be made in bigger size,
                                                                                                             because after the drying treatment, the size will decreased as
 3                               32                                                     28.1800
                                                                                                             the water inside the bead is eliminated. The size of spherical
                                                                                                             bead composite will influence the amount of adsorbent uses
                                                         XRD bead composite
                                                                                                             in every adsorption experiment.
                           600
                           500                                                                               Acknowledgement
                                                                                                                We are thankful to the Energy Conservation and
     intensity (cps)
400
                           300
                                                                                                             Pollution Prevention Lab (KEPP) and Instrumental Analysis
                                                                                                             Lab (ANINS) for their laboratory equipment and analysis
                           200
                                                                                                             support.
                           100
                            0
                                  0    10   20   30      40           50      60   70    80   90
                                                                                                             References
                                                      2 theta (deg)
Journal Papers
                                                                                                        12
   The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                      Jointly held with
           th
     The 5 International Symposium on Conservation and Management of Tropical Lakes
                      “Insights and Challenges toward Achieving SDGs”
       1
        Chemical Engineering Department, Faculty of Engineering, Gadjah Mada University, jln.Grafika No.2,
                                          Yogyakarta 55281, Indonesia
    2
      Department of Chemical Engineering, Faculty of Engineering, Universitas Wahid Hasyim, 50236, Indonesia
*wbsediawan@ugm.ac.id
Abstract
        Lignin is one of the largest reservoirs of aromatic compound that can be used in various applications while
hydrotropes have been explored as new green chemical for lignin separation. The objective of this study was to recover
lignin from filtrate of sugarcane bagasse microwave-assisted hydrotropic extraction process. The lignin extraction were
performed at a fixed solid and liquid ratio of 1:20, agitation speed of 900 rpm, urea concentration 30%, while temperature
and extraction duration were varied between 70 -90 oC, and 30-150 minutes, respectively. The soluble lignin was
precipitated from the hydrotropic extraction filtrate by adding 5 times of water and bringing the pH of the solution to pH 4-5.
The research showed that the higher the hydrotrope concentration applied, the higher the recovery of lignin would be. The
profile of the lignin recovery of hydrotropic extraction conducted on higher temperatures also showed a similar trend as the
one the application of higher hydrotrope concentration. The optimum condition obtained from the research was at a
temperature of 90oC, 30% of concentration urea hydrotropes, and in the time of 120 minutes, the % lignin extracted 13.45 %.
Keywords: Lignin, hydrotropes, extraction, urea
                                                          13
have been applied in lignin and cellulose separation from       42. The precipitated lignin obtained was then heated in an
various biomasses. Devendra and Pandey [6] reported that        oven at 100oC until its constant weight. The lignin
sodium cumene sulfonate was able to remove up to 50% of         extraction % on solute was calculated based on its initial
lignin from rice straw. Urea is one of potential hydrotrope     lignin content of raw material sugarcane bagasse [8].
agent since it is safe and low-price product [6].
    In this work we reported the application of urea as the     2.3. Analytical methods
hydrotropic agent in microwave assisted lignin extraction            The lignin content was determined by using Chesson
from sugarcane bagasse.                                         method. One gram of dry sample (a) was refluxed for 2
                                                                hours with 150 ml H2O at 100oC. The residue was filtered,
II. Materials and Methods                                       washed with 300 mL of hot water and oven-dried to
2.1. Material                                                   constant weight (b). The residual powder obtained was then
    Bagasse was acquired from sugar factory Geneng,             added with 150 mL of 0.5 M H2SO4 and then refluxed for 2
Ngawi regency. Sugarcane bagasse was air dried, milled          hours at 100 oC. The residue was filtered and washed with
and then sieved with a sieve size of 70 mesh (210 µm). The      300 ml of water until neutral condition. The residue was
cellulose, hemicellulose and lignin content of sugarcane        dried to a constant weight (c). The dry residue was added
bagasse was tabulated on Table 1.                               with 10 mL of 72% (v/v) H2SO4 and soaked at room
                                                                temperature for 4 hours. 150 mL of 0.5 M H 2SO4 was
     Table 1. Chemical composition of sugarcane bagasse         added and refluxed at 100 oC for 2 hours. The residue was
             Component           Values (%)                     filtered and washed with 400 mL of distilled water until
             Cellulose           24.317                         neutral condition. The residue obtained was weighted (d).
             Hemicellulose       45.588                         The solid residue was then ashed in a furnace, and the ash
             Lignin              18.249                         was weighted (e). The lignin content was calculated by:
                                                                               d e
                                                                Lignin (%) =        x100%                           (Eq.1)
    Urea was from PT. Kujang Indonesia and sulfuric acid                         a
in which used to control the pH of the reaction mixture was     The lignin solids analysis was carried out using FTIR at
from Merck.                                                     room temperature of 298 K in region 4000-400 cm -1 on
                                                                Thermo Scientific Nicolet iS10.
2.2. Lignin Extraction Procedure
     20 grams of bagasse and 400 ml of 30% urea                 III. Results and Discussion
hydrotropes solution were put into glass tube. The reaction          During urea based hydrotropic extraction of lignin from
mixture was subjected to microwave heating (70-900C) for        sugarcane bagasse, the color of the filtrate solution became
30-150 minutes at 900 rpm. After completing the extraction      dark (Figure 1a). The darkening of the hydrotropic solution
process, the suspension was filtered and rinsed using 500       during pretreatment of biomass was also reported in alkyl
ml of hot water (90oC) to remove the remaining                  benzene sulfonates based hydrotropic processing of cotton
hydrotropes attached to the solid residue. After filtration,    stalk Karthyani et al., [9]. It was believed that the
the solid residue was dried in an oven at 90oC until            darkening solution indicates that biomass components were
constant weight and the lignin-containing filtrate was          solubilized into the hydrotropic solution. Karthyani et al.,
treated for further processing. Series of experiments were      [9] mentioned that due to hydrophobic interactions of the
carried out in same way to determine the effect of              aromatic ring of phenolic lignin with the aromatic ring of
temperature, hydrotropes concentration and time on lignin       the hydrotrope, lignin solublization was more preferential
extraction.                                                     than cellulose and hemicelluloses [8].
     The dissolved lignin contained in the hydrotropic                 The hydrotropic lignin was precipitated from the
filtrate was recovered by water precipitation. 200 ml of the    filtrate by water dilution under acidic condition and the
filtrate was added with distilled water up to 4x the original   obtained lignin was brown colored powder (Figure 1b).
volume. The pH of the solution was set to pH 4-5 by             Brown colored powder of sugarcane bagasse lignin was
utilized 5 N of sulphuric acid [7]. The precipitated lignin     also obtained from alkyl benzene sulfonate based
was then vacuum-filtered by using Whatman filter paper no.      hydrotropic treatment. Ansari et al., [10] as mentioned by
                                                          14
Jingjing [11] that most isolated lignin are brown powder.
                                                                     The optimum temperature and time of the hydrotropic
                                                                 lignin extraction were achieved at 90oC and time of 120
                                                                 minutes. This increasing of time, the % extracted lignin
                                                                 also increases at various temperatures. Based on the graph
                                                                 above, the optimum % extracted lignin at 120 minutes
                                                                 reached 13.45%, while at 150 minutes there was a decrease,
                    (a)                (b)
                                                                 where the percentage of lignin extracted was only
  Figure 1. Filtrate solution of hydrotropic delignification
                                                                 10.86%.The decreased lignin extraction yield at 150
                  and (b) hydrotropic lignin
                                                                 minutes was due to the inhibition of mass transfer of the
                                                                 hydrotrope solution which entered the sugarcane baggage
3.1. Effect of Temperature and Time
                                                                 matrix due to the degradation of urea as hydrotropes.
    Lignin extraction from sugarcane bagasse was carried
out by utilized urea solution (30%) in temperature range of
                                                                 3.1.2. Lignin Characterization
70-90 oC and time range of 30-150 minutes with time
                                                                       FTIR analysis was performed on lignin powder
interval of 30 minutes. The profile of lignin extraction
                                                                 obtained from hydrotropic extraction conducted at
percentage was illustrated on Figure 2. It was shown that
                                                                 temperature of 90 oC and time of 120 minutes.
temperature is significantly affecting the dissolution of
lignin in hydrotropic extraction. The lignin extracted was
increase with the increase of temperature in lignin
extraction from 30 minutes to 120 minutes. The lignin
extraction performed at 120 minutes and at temperature of
70, 80 and 900C gave lignin extraction percentage of 9.70,
12.05 and 13.45%, respectively. Gabov [8] stated that at
higher temperatures, hydrotropic molecules aggregate and
the hydrogen bonds between water molecules become
unstable resultin in excess hydration and in increased                               Fig.3. FTIR Lignin
surface activity. The rise of temperature can cause a
significant change in the structure of the aggregate, thereby        Lignin is a complex aromatic heteropolymer that is
causing more solute to dissolve in the hydrotrope solution.      composed of three main monolignols, namely, pcoumaryl,
Increasing temperature can raise the amount of aggregation       coniferyl, and synapyl alcohol, with different degrees of
and thus create more hydrotrope aggregates, each of which        methoxylation. When incorporated into lignin polymers,
can interact with solute molecules [8].                          monolignol produces p-hydroxyphenyl (H), guaiacyl (G),
                                                                 and syringyl (S), each of which has a structural variation in
                                                                 the polymer. Based on the literature for soft-stemmed
                                                                 plants such as bagasse, the most dominant lignin
                                                                 components are Guacyl and p-hydroxyphenyl minor [12].
                                                                 Based on the FTIR results presented in Figure 3, it shows
                                                                 that the wavenumber 1161.35 cm-1 indicates the presence
                                                                 of a p-hydroxyphenyl group which is one of the
                                                                 components of lignin.
                                                                 IV. Conclusion
                                                                     Urea based hydrotropic solution was proved as a good
                                                                 hydrotropic agent for lignin extraction. Temperature an
   Figure 2. Lignin extraction percentage of hydrotropic         time lignin, the higher the temperature of the extracted
       extraction of lignin from sugarcane bagasse               lignin also increases, the optimum temperature is at 90 oC.
                                                                 Meanwhile, the longer the time used for extraction, the
                                                            15
decreasing of the extraction results, the best optimum time   [9] Karthyani, S., Pandey, Ashok., Devendra, P Leena.,
to obtain lignin extraction is 120 minutes.                        2017. Delignification of Cotton Stalk Using Sodium
                                                                   Cumene Sulfonat for Bioethanol Production.
Acknowledgement                                                    Biofuels, 1759-7269.
    The authors are grateful for Author greatly               [10] Ansari, Khursheed B., Gaikar, Vilas G. 2013., Green
acknowledge The ministry of Research, Technology and               hydrotropic       Extraction     Technology      for
Higher Education of Republic of Indonesia which support            Delignification of Sugarcane Bagasse by Using
                                                                   Alkybenzene Sulfonates As Hydrotropes. Chemical
this work through PDUPT research grant of 2020, with
                                                                   Engineering Science, 1-10.
contract number of 2845/UN1/DITLIT/DIT-LIT/2020.
                                                              [11] Jingjing, Li., 2011. Isolation Lignin From Wood.
                                                                   Saima University of Applied Science, Imatra.
References
                                                              [12] Van Maris, Antonius., Abbott, A Derek., Bellismi,
[1] Chandel, Anuj K.da Silva., Silvio S. Carvalho.,
                                                                   Eleonara., deen Brink, Van Joost., Kuyper, Marko., H
    Walter Singh., Om V., 2012. Sugarcane Bagasse and
                                                                   Luttik, A Marijke., Wisselink, Woufer H., Scheffers,
    leaves: Foreseeable Biomass of Biofuel and Bio-
                                                                   Alexander W., Van Dijken, Johanes P., 2006.
    Products. Journal of Chemical Technology and
                                                                   Alcoholic Fermentation of Carbon Source in
    Biotechnology 87, 11-20.
                                                                   Biomasss       Hydrolysates    by     Saccaromyces
[2] Spiridon,    Iuliana.   2018.,     Biological  and
                                                                   Cerevisiae, Current Status. Springer Science 90,
    Pharmaceutical Applications of Lignin and Its
                                                                   391-418.
    Derivatives:     a    Mini-Review.      CELLULOSE
    CHEMISTRY AND TECHNOLOGY Cellulose Chem.
    Technol 52, 543-550.
[3] Yunpu, Wang, Leilei., D A I, Liangliang., F A
    NShaoqi., Shan Yuhuan, L I U., 2016. Journal of
    Analytical and Applied Pyrolysis Review of
    Microwave-Assisted       lignin   Conversion    for
    Renewable Fuels and Chemicals. Journal of
    Analytical and Applied Pyrolysis 119, 104-103.
[4] Mokhena, C Teboho., Mochane, J Mokgotsa.,
    Moutang, E Tshwafo., Linganiso, Z Linda., Thekisoe,
    M Oriel., Songca, P Sandile., 2018. Sugarcane
    Bagasse and Cellulose Polymer Composites.
    Intechopen, 71497.
[5] Chung, Hoyong.,Washburn, Newell, R., 2016.
    Extraction and Types of Lignin. Lignin in Polymer
    Composites, 13-25.
[6] Devendra, Leena P., Pandey, Ashok., 2015.
    Hydrotropic pretreatment on rice straw for
    bioethanol production. Renewable Energy 98, 2-8.
[7] Watkins, Dereca., Nurudin, Md., Hosur, Mahesh.,
    Tcherbi-Narteh, Alfred., Jaelani, Saek., 2014.,
    Exctraction and Characterization of Lignin from
    different biomass Resources. Journal of Materials
    Research and Technology, 4(1): 26-32.
[8] Gabov, Konstantin. 2018., Hydrotropic Process for
    Green Biorefinery Applications applications.
    Finlad, United state.
                                                        16
     The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                        Jointly held with
             th
       The 5 International Symposium on Conservation and Management of Tropical Lakes
                        “Insights and Challenges toward Achieving SDGs”
           Rara Ayu Lestary 1, Moh. Fahrurrozi 1, Wahyudi Budi Sediawan1* and Indah Hartati1, 2
             1
              Departement of Chemical Engineering, Faculty of Engineering, Universitas Gadjah Mada,
                                  Jl. Grafika No. 2, Yogyakarta 55281, Indonesia
            2
              Departement of Chemical Engineering, Faculty of Engineering, Universitas Wahid Hasyim,
                                Jl. Menoreh Tengah X No 22 Semarang, Indonesia
                                             * wbsediawan@ugm.ac.id
Abstract
    One of the potential lignocellulose resources from agriculture biomass residue is rice straw. Cellulose, the main
component of lignocellulose can be processes into various products. Hydrotropic treatment and peroxide bleaching
can be considered as an environmentally friendly pretreatment for lignocellulose. Bleaching plays an important role
in removing both hemicellulose and lignin resulting in producing high cellulose purity and brightness. This research
aimed to study the rice straw hydrotropic pulp bleaching with hydrogen peroxide. Hydrotropic treatment of rice straw
was conducted with 30% w/v of urea solution at 80oC for 60 minutes and the chelation stage was conducted with
EDTA at 70oC for 60 minutes. Bleaching of rice straw hydrotropic pulp was investigated under various time and
concentration of hydrogen peroxide (2%, 4%, and 6%) at 90oC with microwave heating. Lignocellulose content,
chemical composition, brightness, and yield of bleached pulp were evaluated. The results showed that the maximum
value of bleached pulp brightness was obtained with 4% hydrogen peroxide concentration at temperature 90 oC for
120 minute reaction time with the cellulose content was 52.41% and the lignin content was 14.45%.
                                                             17
                                                                hours to quantify the cellulose content (d). The sample
II. Materials and Methods                                       was burned in a furnace and lignin content was
                                                                measured as the difference between the sample weight
2.1. Materials                                                  before and the sample weight after burning (e). The
    Rice straw was obtained from a local rice field in          percentage of hemicellulose, cellulose, and lignin can
Blitar, East Java. Urea was produced and supplied by            then be calculated by Eq. 1, 2, and 3.
PT Pupuk Kujang, Hydrogen Peroxide H2O2 30%                                                      b-c
Solution (Merck), Sodium Hydroxide NaOH (Merck),                          Hemicellulose % =                    (Eq.1)
                                                                                                  a
Sulfuric Acid H2SO4 95-97% (Merck), EDTA                                                     c-d
                                                                             cellulose % =                     (Eq.2)
(Merck), and distilled water.                                                                 a
                                                                                              d-e
                                                                                Lignin % =                     (Eq.3)
2.2. Experimental set-up                                                                       a
2.2.1 Hydrotropic Treatment and Chelation Stage
    Rice straw was chopped, grounded into powder                2.2.4 Chemical analysis
and 60 mesh sieved. Rice straw powder was inserted                  Residual H2O2 was determined by iodometric
in glass jar followed by the addition of urea solution          method. The filtrate sample from the bleaching stage
30% w/v. Hydrotropic treatment was conducted in a               was inserted into Erlenmeyer flask and added with 50
glass jar with microwave heating at 80oC for 60                 mL distilled water, 3 drops of ammonium molybdate
minutes and agitating speed was set at 300 rpm. The             solution, 4 mL of 4N H2SO4 solution, and 10 mL of
pulp was separated by filtration process and oven-              10% KI solution. The mixture was titrated with 0.1 N
dried at 105oC.                                                 Na2S2O3 solution until the brown tri iodide color has
    The rice straw hydrotropic pulp was then chelated           been reduced to a light straw color then a few drops of
with EDTA 2% w/w at adjusted pH 4-5, temperature                the starch solution was added to the mixture.
of 70oC for 60 minutes. The chelation residue was               Subsequently, the titration was performed until the
separated by a filtration process then it was oven-dried        color of the solution changes to colorless. The
at 105oC.                                                       concentration of H2O2 in the sample can then be
                                                                calculated by equation 4, where A is the titration
2.2.2 Bleaching stage                                           volume for sample, B is titration volume for blank, and
    The bleaching process was performed at various              N is normality of Na2S2O3.
reaction times and H2O2 concentration with 1.5%
NaOH in a glass jar with microwave heating. The                                      (A-B)(N)(1.7007)
                                                                    H2 O2 % w/w=                              (Eq.4)
microwave temperature was set to 90oC and the                                          Sample weight
agitation speed was set at 300 rpm. The bleached pulp
was separated, washed with distilled water and oven             2.2.5 Colour Measurement
dried at 105oC.                                                     Colour measurement of sample was conducted
                                                                with Chroma meter Minolta. The L, a, and b parameter
2.2.3 Compositional analysis                                    value were measured. The brightness can then be
    Cellulose and lignin content in unbleached and              calculated by Eq. 5.
bleached pulp were determined by Chesson-Datta
Analysis [6]. 1 gr of sample (a) and 150 ml distilled           Brightness % = 100-[(100-L)2+(a2+b2)]0.5 (Eq.5)
water were refluxed at temperature of 100oC for 2
hours. The sample was then oven-dried at 105oC (b).             III. Results and Discussion
The dried sample and 150 mL of 1 N H2SO4 solution
                                                                    Rice straw hydrotropic pulp obtained by
were refluxed at temperature of 100oC for 2 hours to
                                                                hydrotropic pretreatment and chelation stage. The
quantify the hemicellulose content. The sample was
                                                                cellulose, hemicellulose, and lignin composition of
then oven-dried at 105oC (c). Furthermore, the sample
                                                                rice straw before hydrotropic pretreatment was
was immersed in 10 mL of 72% H2SO4 solution at
                                                                31.14%, 28.90%, and 21.10% respectively. The
room temperature then it was refluxed using 150 mL
                                                                chemical composition of rice straw after the chelation
of 1 N H2SO4 solution at temperature of 100oC for 2
                                                           18
stage was 37.42%, 25.80%, 18.06% respectively. The               hydrogen peroxide concentration for 120 minute
hydrotropic pretreatment and chelation stage were                reaction time. The brightness of the unbleached pulp
able to increase the cellulose content of rice straw by          was 54,23%, while the brightness of the bleached pulp
up to 6.28% from the initial composition.                        obtained from bleaching process with 4% hydrogen
     Rice straw hydrotropic pulp was subjected to                peroxide concentration for 40, 80, and 120 minutes
peroxide bleaching. The effect of increased bleaching            were 76.29%, 77.28%, and 80.78% respectively.
reaction time and concentration of hydrogen peroxide
on chemical composition in rice straw is shown in                              20.00
Fig.1 and Fig.2. Fig.1 shows that the application of
                                                                               18.00
higher concentration of hydrogen peroxide results in
                                                                   Lignin %
the increase of the cellulose content, in which the                            16.00
highest cellulose content was found in 6% hydrogen
                                                                               14.00                            40 min
peroxide concentration (53.33%). The partial
elimination of hemicellulose and lignin causes                                 12.00                            80 min
                                                                                                                120 min
cellulose content to increase. Bleaching with hydrogen                         10.00
peroxide under alkaline conditions will produce                                          0      2       4        6        8
perhydroxyl anion, which is believed to be the main                                          H2O2 Concentration, %
active species in the elimination of chromophore in
                                                                     Fig 2. Lignin % in Rice Straw Hydrotropic Pulp
lignin, especially the conjugated carbonyl structures
that react easily with perhydroxyl anion. This reaction                          85.00
will cause the lignin dissolution so that the amount of                          80.00
                                                                      Brightness %
lignin in the pulp decrease [5]. This phenomenon is
characterized by decreasing lignin content with                                  75.00
increasing reaction time. Similar results were obtained                          70.00
for cellulose extraction with alkaline peroxide                                                                  40 min
treatment by Fitriana et al (2020). The higher                                   65.00                           80 min
                                                                                                                 120 min
hydrogen peroxide concentration used, the higher                                 60.00
cellulose content obtained [7].                                                       2  0    4      6        8
                                                                                  H2O2 Concentration, %
                                                                   Fig 3. Brightness % Rice Straw Hydrotropic Pulp
                                                            19
perhydroxyl anion, which causes lignin to dissolved
[8]. Similar results were obtained for alkaline peroxide        References
bleaching by Tutus et al (2014), the brightness of the
pulp increases with increasing hydrogen peroxide                [1]   Abraham, A., Mathew, A.K., Sindhu, R.,
concentration [9].                                                    Pandey, A. and Binod, P., 2016. Potential of
                                                                      rice straw for bio-refining: An overview.
    The brightness of the rice straw pulp at 6%                       Bioresource Technology, 215, pp.29-36.,
hydrogen peroxide concentration is lower than 4%. It            [2]   Matsumura, Y., Minowa, T. and Yamamoto,
occurs caused by the use of excess hydrogen peroxide                  H., 2005. Amount, availability, and potential
so that some hydrogen peroxide does not react with ion                use of rice straw (agricultural residue) biomass
hydroxide to produce perhydroxyl anion but                            as an energy resource in Japan. Biomass and
decomposes to oxygen and water [8]. It can be seen in                 Bioenergy, 29(5), pp.347-354.
Table 1, the consumption of hydrogen peroxide is                [3]   Ibrahim, M.M., El-Zawawy, W.K., Jüttke, Y.,
expressed as the percentage of the residual hydrogen                  Koschella, A. and Heinze, T., 2013. Cellulose
peroxide to the initial amount of hydrogen peroxide                   and microcrystalline cellulose from rice straw
added. Consumption of hydrogen peroxide at a                          and banana plant waste: preparation and
concentration of 6% is greater than 4% meanwhile the                  characterization. Cellulose, 20(5), pp.2403-
                                                                      2416.
lignin content of 6% is higher than 4%.
                                                                [4]   Ramos, L.P., 2003. The chemistry involved in
IV. Conclusion                                                        the steam treatment of lignocellulosic
                                                                      materials. Química Nova, 26(6), pp.863-871.
    Hydrogen peroxide bleaching of rice straw
                                                                [5]   Dence, C.W. and Reeve, D.W., Pulp
hydrotropic pulp was able to produce bleached pulp                    Bleaching: Principles and Practice,(1996).
brightness value of 67-80%. Hydrogen peroxide
                                                                [6]   Datta, R., 1981. Acidogenic fermentation of
concentration and bleaching time give significant                     lignocellulose-acid yield and conversion of
effect on cellulose content, lignin content and                       components. Biotechnol. Bioeng.;(United
brightness of the bleached pulp. The maximum value                    States), 23(9).
of bleached pulp brightness was obtained from the               [7]   Fitriana, N.E., Suwanto, A., Jatmiko, T.H.,
bleaching process with 4% hydrogen peroxide                           Mursiti, S. and Prasetyo, D.J., 2020. Cellulose
concentration at temperature 90oC for 120 minute                      extraction from sugar palm (Arenga pinnata)
reaction time with the cellulose content was 52.41%                   fibre by alkaline and peroxide treatments.
and the lignin content was 14.45%.                                    E&ES, 462(1), p.012053.
                                                                [8]   Fuadi, A.M. and Sediawan, P.P.I.W.B., 2009.
Acknowledgement                                                       Pemakaian hidrogen peroksida sebagai bahan
                                                                      pemutih    pulp    (Doctoral    dissertation,
    The authors are thankful to The Ministry of
                                                                      [Yogyakarta]: Universitas Gadjah Mada).
Research, Technology, and Higher Education of
                                                                [9]   Tutus, A., 2004. Bleaching of rice straw pulps
Republic of Indonesia for their support this work
                                                                      with hydrogen peroxide. Pakistan Journal of
through PDUPT research grant of 2020 with contract
                                                                      Biological Sciences, 7(8), pp.1327-1329.
number of 2845/UN1/DITLIT/DIT-LIT/2020.
                                                           20
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
 Chakriya Kong1 , Dariya Sek 1, Monychot Tepy Chanto1,2, Sokly Siev1,3 , Chanthol Peng 1,3*, Reasmey Tan2 , Thavarith
                                       Chunhieng1 , Romny Om4, Phen Sieng1, San Penh1
                   1
                     Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                          Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
      2
         Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                    Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
        3
          Water and Environment Research Unit, Research and Innovation Center, Institute of Technology of Cambodia,
                            Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                    4
                                      Department of Electrical and Energy Engineering,
                                                     *peng@itc.edu.kh
Abstract
    The infectious diseases caused by virus and bacteria have posed serious threats to public health worldwide. The rapid
community spread of infection and the lack of sanitization could pose major human health problem. The diseases are often
transmitted by close human-to-human contact or by contacting contaminated surface. In prevention, the disinfection of surface
is essential to reduce the transmission. In this study, different disinfectant such as ethanol (75% v/v and 90% v/v), hydrogen
peroxide (3%) and calcium hypochlorite (2 ppm and 4 ppm) were evaluated their effectiveness under various application
conditions to disinfect virus and bacteria on the surface. The virus, bacteriophage T4 and the bacteria, Escherichia coli K-12
were used as a model strains in this study. The disinfectants were applied on the virus and bacteria laying on the surface by
spraying method for 5 and 10 times with 30s and 60s of contact time. The effectiveness of those disinfectants was evaluated
based on the survival of virus and bacteria through plaque assay and spread plate method. As a result, hydrogen peroxide
showed the most promising effective disinfectant compared to other. For instance, at spraying for 10 times in 60s, the bacteria
are completely reduced and the highest virus reduction was 90%. While ethanol at concentration of 90% showed 85%
reduction for virus and around 98% for bacteria, the rest showed reduction less than 50%. This implies that the effectiveness
of disinfectant depends on the type, contact time and the concentration.
                                                          21
antimicrobial activity against with P. aeruginosa, Serratia       ml of Luria- Bertani (LB) liquid media at 37℃ for 18-20h
marcescens, Escherichia coli and Salmonella typhosa,
                                                                  using BR-21UM Bio-shaker at the speed of 120 rpm [6].
rotavirus, echovirus, and astrovirus [2]. Hydrogen peroxide
                                                                  The overnight culture of E. coli K-12 was probably
used to remove pollutants from waste water and from air and
                                                                  1.00E+09 CFU/ml.
treat pollutions that can be easily oxidized. Hydrogen
                                                                   2.2. T4 phage Preparation
peroxide is active against E. coli, Streptococcus species, and
                                                                       To prepare this virus, a single plaque of T4 from mother
Pseudomonas species [1]. However, it is essential to
                                                                  stock was used for propagation with host cell, E. coli K-12
understand their effectiveness including the safety and
                                                                  using the double layer agar method and incubated at 37 oC
killing time in order to choose the right disinfectant to
                                                                  overnight. T4 phage purification was conducted by repeated
inactivate bacteria and virus for disease prevention.
                                                                  plating and picking of single plaques, followed by plate
     In review, E. coli is a gram negative bacteria which the
                                                                  lysate and the polyethylene glycol (PEG) # 6000 – NaCl
peptidoglycan layer is relatively thin and it is found at the
                                                                  precipitation method [7].The concentration of daughter
inside of the outer membrane. E. coli is found in the intestine
                                                                  phage was determined by using plaque essay method.
of men and animals and it is released into the environment
through fecal material [3]. One of the E. coli strain K-12
                                                                  2.3. Disinfectant Preparation
which is generally used in experimental and considered as
                                                                       The stock solution of calcium hypochlorite 𝐶𝑎(𝑂𝐶𝐿)2
nonpathogenic.
                                                                  was prepared from Ca(OCL)2 powder by dissolving 0.1g of
     The bacteriophage T4 which is one of the strain
                                                                  𝐶𝑎(𝑂𝐶𝐿)2 in 100ml distilled water. The stock solution was
of bacteriophages that infects E. coli K-12 was used as a
                                                                  stirred on the magnetic stirrer until they are completely
model virus in this research. T4 phage infection of E. coli
                                                                  dissolved. The concentration of 𝐶𝑎(𝑂𝐶𝐿)2 were identified
has been one of the most thoroughly studied model systems
                                                                  using Colorimeter C401. The used concentrations of ethanol
in molecular biology and microbiology for over 60 years due
                                                                  were archived by the dilution of absolute ethanol solution
to harmless for human [4]. In order to multiply their quantity,
                                                                  99,9%(v/v) with distilled water. The 3% hydrogen peroxide
they need to get into a bacterium where they break the
                                                                  is purchased from the market. The disinfectant conditions
bacterial cell to release the new viruses[5].
                                                                  were summarized in Error! Reference source not found. .
     Most of studies focus on the activity of disinfection
suspension but little is known about their activity when
spraying on the surface application. Recently, the use of         2.4 Disinfectant Spray Treatment Method
various disinfectant on the cabin spray has been emerged.              Spreading method is a popular procedure to identify the
Yet, the study of the effectives of the spray application of      amount colony of bacteria. In this method, 0.1ml of E. coli
                                                                  K-12 overnight culture was pipetted to spread on the layer
disinfectant is unknown. Therefore, the aims of this study is
                                                                  of Chromocult agar in plastic plate. Then, the plates were
to investigate the effectiveness of different disinfections on
                                                                  transferred to incubator at 37 °C for overnight before
model strain of bacteria and virus by spray application.
                                                                  counting [8].
Calcium hypochlorite at 2ppm and 4 ppm, ethanol
                                                                       Plaque assay is one of the widespread approaches used
concentration at 75% and 90%, hydrogen peroxide
                                                                  to determine the amount of infectious virus in a sample. The
concentration 3% were carried out to identify their
effectiveness against on the bacteria (E. coli K-12) and virus    virus T4 phage stock was vortexed and pipetted 110𝜇 to the
(T4 phage) with different contacting time, 30 and 60 second       0.5ml eppendorf. After that, 110 l of host cell E. coli K-12
on surface.                                                       were added. Then, 200 µl of the solution were pipetted and
                                                                  transferred into the 3 ml of LB soft agar which was the
II. Materials and Methods                                         complex mixture of tryptone, yeast extraction, Sodium
                                                                  Chloride, Magnesium Sulphate (1M, 0.5% (w/v)) and
2.1 Escherichia coli K-12 preparation                             Calcium Chloride (1M, 0.5% (w/v)). Next, it was poured on
     To use E. coli K-12 as a model bacterium, the host cell      the top layer of LB agar. The solution was winded to
solution was prepared from pure culture E. coli K-12’s            homogenize and left until it was dried. The culture of
mother stock. The preparation of bacteria was started by          bacteriophage was incubated at 37 °C for overnight before
selecting a single colony from mother stock to cultivate in 2     counting [9]. The removal effectiveness of disinfectant on
                                                            22
bacteria and virus were calculated by equation below:            highest removal efficiency is hydrogen peroxide spaying 10
                      (𝑁𝑖 − 𝑁𝑓 ) × 100          (E.q.1)          times which was able to remove 90% and 87% of T4 phage
          𝑅𝑒𝑚𝑜𝑣𝑎𝑙 =
                              𝑁𝑖                                 with 60s and 30s contacting time respectively. On the other
                                                                 hand, ethanol concentration 90% spraying for 10 times is
Where 𝑁𝑖 is the number of total colony or plaque without
                                                                 permitted to reduce 85% in 60s and 70% in 30s. Calcium
spraying disinfectant, and 𝑁𝑓 is the number of colony or
                                                                 Hypochlorite 2ppm and 4ppm achieved the lowest
plaque after spraying with disinfectant.                         effectiveness against bacteria as its efficiency was around
Table 1: The spaying condition of disinfectant                   50%.
 Disinfectant Concentration Spraying         Contact time            According to Error! Reference source not found. and
                                    (time)     (second )         Error! Reference source not found., the effectiveness of
  𝐻2 𝑂2              3%            5, 10         30, 60          disinfectants on bacteria were higher than the effectiveness
                                                                 of disinfectant on virus. It can be assumed that hydrogen
  𝐶5 𝐻5 𝑂6        75%, 90%          5, 10         30, 60
                                                                 peroxide (3%) and ethanol 90% were the most effective
  𝐶𝑎(𝑂𝐶𝑙)2       2ppm,4ppm          5, 10         30, 60         disinfectants against microorganism growth while calcium
                                                                 hypochlorite seemed to be the least effective one compared
       The spraying treatment on bacteria E. coli K-12 was       to other disinfectants.
performed duplicate by dropping 5μl of E. coli K-12
overnight culture solution (≈1.00E+06 CFU/ml) on the                                  120
                                                           23
that the removal efficiency of bacteria and virus were            IV. Conclusion
decrease as the number of spray and contacting time were              The most effective disinfectants for removing bacteria
reduced while increasing the contacting time and number of        and virus were 𝐻2 𝑂2 concentration 3% and ethanol 90% at
spray lead to high removal results. Additionally, ethanol 90%     10times 60s which showed 98% removal for bacteria and 90%
and hydrogen peroxide (3%) seemed to be effective for             for virus reduction while the effectiveness of Ca (OCl)2 on
surface disinfection while Calcium Hypochlorite (2ppm)            bacteria and virus were less than 50%. However, the
and (4ppm) did not work effectively in this experiment.           effectiveness of disinfectants includes calcium hypochlorite,
     The safety level of disinfectants was limited to avoid any   ethanol, and hydrogen peroxide against bacteria and virus
unexpected health hazard. The permitted level of hydrogen         depended on the concentration of disinfectants, contacting
peroxide is between 6-3% which is commonly used to                time and number of spraying.
remove surface contaminated, pollutants from wastewater               Although some tested disinfectants showed a promising
and, teeth, hair and produced food [1]. Commercially              antibacterial and antiviral on the model strain, in term of
available 3% hydrogen peroxide is a stable and effective          dose and safety in spray application is not yet known. The
disinfection for using on inanimate surfaces. Hydrogen            further study is necessary to investigate on health toxicity
peroxide is poorly absorbed by skin; however, it is mildly        associated with cabin and disinfectant spray system.
irritating to the skin and mucous membranes in the
concentration more than 3% [10].                                  Acknowledgement
     The USA Food and Drug Administration (FDA)
                                                                    We are thankful to the Institute of Technology of
classified Ethanol 60-95% was safe and effective active
                                                                  Cambodia for the financial support of this study.
agent to use in antiseptic and hygiene hand wash products
[11]. Ethanol is widely used in all kinds of products with
direct exposure to the human skin. The higher concentration       References
of Ethanol have been describe to be a higher removal              [1]     Rutal,W.A., Weber. D. J. (2019). Guidline for
efficiency [12].                                                          Disinfectant and Sterilization in Healthcare
      The toxic effects of calcium hypochlorite are primarily             Fecilities, 2008. Center for Disease Control and
due to the corrosive properties of hypochlorite. Ingesting a              prevention. University of North Carolina Health
small amount of household bleaches (3-6% hypochlorite)                    Care System pp 40
can cause the gastrointestinal irritation and if ingesting more   [2]     Kampf, G., Grotheer,D.,Steinmann, J., 2019.
concentrated commercial bleach 10% or higher hypochlorite                 Efficacy of three ethanol-based hand rubs against
may suffer severe corrosive injuries to the mouth, throat,                feline calicivirus , a surrogate virus for norovirus,
esophagus and stomach with bleeding, perforation, and                     pp. 144–149.
eventually death. Contacting of strong hypochlorite               [3]     Siva,B.,Storms,J.,Sauvageau,Z.,and
solutions with your skin may cause burning pain,                          Dominic,S.,2016. Host receptors for bacteriophage
inflammation, and blisters [13].                                          adsorbtion.FEMS Microbiology letters,363,1-11.
     Surface disinfectant products are used for surface           [4]     Bryan,D., El-shibiny,A., Hobbs,Z.,Porter,J., Kutter,
disinfection, which refers to the application of chemical                 E.M., 2016. Bacteriophage T4 Infection of
disinfectants to surfaces in order to sanities them. This                 Stationary Phase E . coli. Life after Log from a
disinfection differs from aerosol/dry-fogging and water                   Phage Perspective, vol. 7, no. September, pp. 1–12.
disinfection in terms of the requirements for the disinfectant    [5]     Gutiérrez,D., Fernádez, L., Maetínez, B.,
as well as the mode of application. [14]. Clean and disinfect             Rodríguez, A.,García, P., 2016. Bacteriophage. The
high-touch surfaces daily in household common areas (e.g.                 Enemies of Bad Bacteria Are Our Friends.
tables, hard-backed chairs, doorknobs, light switches,                    Frontiers for Young Minds,vol.4.
phones, tablets, touch screens, remote controls, keyboards,       [6]     Karen,L.,Roger,B.,(2018) Growth of E.coli in
handles, desks, toilets, sinks) this type of disinfection                 liquid media. Current protocol in molecules
primarily involves treating easy-to-clean, washable and                   biology vol 125, pp81
chemical-resistant surfaces [15].                                 [7]     Synnott. A. J., Kuang.Y., Kurimoto. M.,Yamamichi.
                                                                          K., Iwano. H., Tanji.Y. (2009). Isolation from
                                                          24
       sewage influent and characterization of novel
       Staphylococcus aureus bacteriophages with wide
       host ranges and potent lytic capabilities. Appled
       Environ Microbiology
[8]    Spread plate technique; principles,procedure and
       advance,(2019).Microbe                       Noted.
       https//microbenotes .com/spread-plate-technique/.
       Assesed 05 December 2020
[9]    Acharya,T.,(2018). Medical Micrology Guid.
       Bacteriophage plaque Assay Principle, Procedure
       and Results. https://microbeonline.com/phage-
       plaque-assay-principle-procedure-results/.Assesed
       05 December 2020.
[10]   Agency for Toxic Substances and Disease Registry
       4770 Buford Hwy NE Atlanta, GA30341: Toxic
       Substance Portal-Hydrogen Peroxide
[11]   Food and Drug Administration: Tentative final
       monograph for healthcare antiseptic drug products;
       proposed rule. Federal Register. 1994, 59: 31441-
       31452.
[12]   Kramer A, Rudolph P, Kampf G,Pittet D: Limited
       efficacy of alcohol-based hand gels. Lancet. 2002,
       359: 1489-1490. 10.1016/S0140-6736(02)08426-
       X.
[13]   Agency for Toxic Substances and Disease Registry
       (ATSDR). 2002. Managing Hazardous Materials
       Incidents. Volume III – Medical Management
       Guidelines for Acute Chemical Exposures:
       Calcium Hypochlorite/Sodium Hypochlorite
       Atlanta, GA: U.S. Department of Health and
       Human Services, Public Health Service.
[14]   Eichtalstrasse 49 CH-8634 Homebrechtikon., 2020
       Sanosil LTD. All Rights Reserved.
[15]   CDC Home Care Guidance for people pets.,
       Centers for Disease control and prevention., July10,
       2020: Detail Disinfection Guidan.
                                                        25
       The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                          Jointly held with
               th
         The 5 International Symposium on Conservation and Management of Tropical Lakes
                          “Insights and Challenges toward Achieving SDGs”
Identification and Quantitative Analysis of Alternative Diesel from Waste Plastic Pyrolysis
       Zin Thu Aung 1, Chinda Charoenphonphanich1*, Hidenori Kosaka 2, Pop-Paul Ewphun2, Prathan Srichai3
 1
     School of Engineering, Department of Mechanical Engineering, King Mongkut’s of Institute of Technology Ladkrabang,
                                    Soi chalongkrung1, Ladkrabang, Bangkok 10520 Thailand
             2
               School of Engineering, Department of System and Control Engineering, Tokyo Institute of Technology,
                   Ishikawadai 6th Building, Room 323-2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8552, Japan
           Department of Mechanical Engineering, Princess of Naradhiwas University, Naradhiwas 96000 Thailand
                                         *Corresponding author: kmitl.chinda@gmail.com
Abstract
    Plastic is a synthetic material made from a wide range of organic polymers, facilitating the human life and help ing
promote the global economy. The use of plastics, however, has been associated with significant environmental problems
due to their accumulation in landfills, as plastic waste does not degrade or degrades at very low pace. Nowadays, fast
pyrolysis of waste plastic into valuable fuels is main platform method in the waste dispo sal but also could be used as
alternative fuel for internal combustion engines. The purpose of this study was to identify, quantify and compare the
composition of waste plastic diesel (WPD) with the commercial diesel (CD) of Thailand. Simulated distillation (GC-
FID) and n-d-M method were used for finding the composition of both fuels. Results indicated that the content of
naphtha, kerosene, diesel, and heavy oil were determined quantitatively and also identified the paraffin, n aphthenes,
and aromatic contents for both fuels. Naphtha and heavy oil contents of WPD were 9.2 and 8.9wt% higher than those
of CD but kerosene and diesel contents were 0.7and 17.4wt% less than those of commercial diesel. After that, paraffin,
naphthenes and aromatic contents of WPD from hydrocarbon type analysis were 80.42, 14.54 and 5.04wt% and these
hydrocarbon contents of CD were 60.61, 25.91 and 13.48wt% respectively. By knowing them, the appropriate method
can be determined for fuel upgrading and interpret correctly the combustion and emissions results.
Keywords: Fast pyrolysis, Simulated distillation, n-d-M method, Waste plastic diesel, Commercial diesel
                                                          26
quantify the composition of waste plastic diesel (WPD) from      Table 2. Experimental conditions for ASTM D2887
real mixed waste plastic pyrolysis, and compare with               Column                     DB-10,10mx0.53mm,2.65µm
commercial diesel (CD).                                            Column temperature         40℃ to 350℃
                                                                   Carrier gas flow rate      13.989 L/min (helium)
II. Materials and Methods                                          Injection temperature      350℃
                                                                   FID temperature            375℃
2.1. Materials                                                     Gas flow rate
                                                                   Nitrogen (makeup)          45 mL/min
   The waste plastic diesel utilized in this study was derived     Hydrogen                   40 mL/min
from catalytic fast pyrolysis of real mixed waste plastic          Air flow                   450 mL/min
(mostly PVC) and commercial diesel (B10) were purchased            Injection volume           0.1 µL
from PTT fuel station in Thailand. Table 1 shows the
comparison of physical properties of WPD and CD.                 2.3. n-d-M Method (PNA composition Analysis)
                                                                     This method requires three physical properties of
 Table 1. Physical properties of fuels                           refractive index (n20), density (d20), and molecular weight
  Property             ASTM            CD           WPD          (M). For this reason, the method is called n-d-M method.
                       Method
                                                                 The method is included in the ASTM manual under ASTM
                                                                 D3238. It calculates the distribution of carbon in paraffin
  Density@15℃            D4052          824         805
  (kg/m3)                                                        (%CP), naphthenes (%CN), and aromatics (%CA) using
  Viscosity@40℃          D445          3.24          2.9         equations 1 to 5. The refractive index and density at 20℃
  (Cst)                                                          and molecular weight are used as input data, which are
  Cetane Index           D976          56.43       67.93         estimated from correlations that are adopted in API-TDB [7].
  Energy Content         D240          45.86       46.29
  (MJ/kg)
                                                                     𝑣 = 2.51(𝑛 − 1.475) − (𝑑 − 0.851)               (Eq.1)
  Sulfur Content         D5453         0.003       0.014
  (wt.%)                                                             𝑎 = 430 𝑖𝑓 𝑣 > 0 𝑎𝑛𝑑 670 𝑖𝑓 𝑣 < 0
                                                                  %𝐶𝐴 = 𝑎𝑣 + 3660/𝑀                                  (Eq.2)
2.2. Simulated Distillation Method
   The identification and quantitative analysis of WPD and         𝑤 = (𝑑 − 0.851) − 1.11(𝑛 − 1.475)                 (Eq.3)
                                                                                        10600                        (Eq.4)
CD were done by simulated distillation (ASTM D2887).              %𝐶𝑅 = 1440𝑤 − 3%𝑆 +         𝑖𝑓 𝑤 < 0
Simulated distillation is a Gas Chromatographic technique                                 𝑀
                                                                  %𝐶𝑅 = %𝐶𝑁 + %𝐶𝐴                                    (Eq.5)
for determining the boiling point distribution of fuels by
                                                                  %𝐶𝑃 = 100 − %𝐶𝑅                                    (Eq.6)
Flame Ionization Detection (GC-FID). Two standard
solutions were used for quantification of waste plastic diesel
and commercial diesel: normal alkanes ranging from n-C5 to       III. Results and Discussion
n-C10 and n-C10 to n-C40. Table 2 shows the testing condition    ` The simulated distillation curve represents the boiling
of GC-FID. In simulated distillation method, the analyse         points of compounds in a fuel mixture at atmospheric
retention times are directly related to the boiling points of    pressure. Simulated distillation curve is presented in term of
various hydrocarbons. A calibration curve is generated from      boiling point versus wt% of mixture vaporized because
standard solution, where the retention time of each n-alkane     composition is measured in terms of wt% or weight fractions
is plotted against its boiling point. Calculating the area of    in gas chromatography. Simulated distillation curve is very
each time interval allows the proportion of elution weight       close to actual or true boiling point curve. The distillation
(%) in each time interval. The elution weight (%) in each        curve obtained applying the ASTM D2887 method allow the
boiling point range can be determined from calibration curve     quantification of fuel composition such as naphtha, kerosene,
and used to obtain the relationship between the elution          diesel and heavy oil as shown in Fig. 1. The composition of
weight (%) and boiling point to create the distillation curve    CD and WPD are listed in Table 2.
of fuel samples.
                                                           27
                                100
                                                                                                                         500
                                                                      Heavy Oil
 Weight percent vaporized (%)
                                90
                                                                                                                         450             421℃
                                80
                                                                                                                         400
                                                                                                       Temperature (℃)
                                70
                                                                                                                         350
                                60
                                50                           Diesel                                                      300
                                40                                                                                       250
                                30                                                                                       200
                                20               Kerosene                                                                150
                                                                                                                                             CD
                                10                                                                                                                                            94%
                                        Naphtha                                                                          100                 WPD
                                 0
                                      100      150    200     250     300     350   400    450                           50
                                                                                                                               0   10   20    30    40   50    60   70   80    90   100
                                                       Boiling cut point (℃)
                                                                                                                                        Weight percent vaporized (%)
                                            Fig. 1. Distillation curve with cut points
                                                                                                            Fig. 2. Comparison distillation curves of CD and WPD
Table 2. Fuel compositions of WPD and CD
     Composition                                       Cut point            CD      WPD                    Table 3. Boiling points of WPD and CD
                                                         range              wt.%    wt.%
     Naphtha                                           IBP-200℃              9.6    18.8                           Distillation              ASTM             CD          WPD
     Kerosene                                          200-250℃             15.4    14.7                           Wt.%                                       (℃)         (℃)
     Diesel                                            250-370℃             65.2    47.8                           IBP:0.5%                                   126         100
     Heavy Oil                                         370-FBP               9.8    18.7                           10%                                        201         172
                                                                                                                   20%                                        236         208
     It can be seen that naphtha and heavy oil contents of                                                         30%                                        260         236
WPD were 9.2 and 8.9 wt% higher than those of CD but                                                               50%                                        298         289
kerosene and diesel contents were 0.7 and 17.4% wt% less                                                           60%                       2887             315         316
than those of commercial diesel.                                                                                   70%                                        332         342
       A comparison of the distillation curve between CD and                                                       80%                                        350         369
WPD is shown in Fig. 2 and distillation temperatures of                                                            90%                                        370         402
WPD and CD are provided in Table 3. In Fig. 2, initial                                                             95%                                        389         426
boiling range of WPD is almost 60% lower and final boiling                                                         FBP:99.5%                                  421         474
range is almost 40% higher than those of CD. Therefore, the
WPD can be called as wide distillation fuel (WDF) because                                                 For low temperature combustion of modern diesel
it is included lighter and heavier compounds than those of                                            engine, desirable fuel characteristics are low aromatic and
CD. In fact, the lighter and heavier compounds can be                                                 high cetane index (high normal paraffin) but high cetane
removed to match the initial boiling point and final boiling                                          index and end boiling point can lead to high smoke for hot
point of WPD and CD fuels by distillation. Nowadays,                                                  temperature combustion of normal diesel. Table 5 shows
gasoline-diesel blended or wide distillation fuels have                                               that all detected carbon number concentrations of WPD are
potential to reduce soot emission and increase thermal                                                greater than that of CD. That is why WPD has high cetane
efficiency but HC emission of these fuels are slightly higher                                         index and paraffin contents. The C28-C40 are not detected for
than that of diesel because of low cetane number [8].                                                 both fuels but three peaks are detected between C24 and C28
Remarkably, cetane index of WPD is much higher than that                                              in WPD. Therefore, end fractions 6% of WPD should be
of CD, although it contains almost 60% of lighter                                                     removed to achieve the same end point as shown in Fig. 2
compounds. Paraffin and aromatic ratio of WPD is higher                                               and Table 5.
than that CD as shown in Table 4 of WPD
                                                                                                 28
Table 4. PNA concentration of fuels                            detected for both fuels but three peaks are detected between
                                                               C24 and C28 in WPD. Therefore, end fractions 6% of WPD
 Carbon Content                       CD        WPD
                                                               should be removed to achieve the same end point.
 Paraffin (%CP)                   60.61         80.41
 Naphthenes (%CN)                 25.91         14.54
                                                               Acknowledgement
 Aromatic (%CA)                   13.48          5.05
                                                               This work was supported by ASEAN University
Table 5. Constituents (area%) identified by GC-FID             Network/Southeast       Asia      Engineering  Education
 Carbon Content             CD                WPD              Development Network (AUN/SEED-Net). The authors
                                                               would like to thank Assoc. Prof. Dr Kanit Wattanavichien,
 C6                      2.1457             3.38784            Center of Fuel and Energy from Biomass (Chulalongkorn
 C7                    Not detected         1.71151            University) for his contribution in this work.
 C8                    Not detected         2.35746
 C10                   Not detected         1.41769            References
 C11                    1.38791             3.71853
                                                               [1]    W Khatha., S Ekarong., M Somkiat., S
 C14                    2.84199             4.32735
                                                                      Jiraphon.,2020. Fuel properties, performance and
 C15                     1.7203             4.77871
                                                                      emission of alternative fuel from pyrolysis of waste
 C16                    1.07963             5.20978
                                                                      plastic. IOP Conf. Series: Materials Science and
 C17                    2.42153             5.19759
                                                                      Engineering 717.
 C18                    3.68398             6.00175
                                                               [2]    Fazal Mabood., M.R.Jan Jasmin Shah., Farah
 C20                    3.59628             5.52902
                                                                      Jabeen., 2012. Catalytic pyrolysis of waste plastic
 C24                    1.47851             3.10487
                                                                      and tyres. LAP LAMBERT academic publishing,
 -                     Not detected         2.52215
                                                                      U.S.A.
 -                     Not detected         2.06772
                                                               [3]    Anandhu, V., Jilse, S., 2018. Pyrolysis process to
 -                     Not detected         1.61383
                                                                      produce fuel from different types of plastic- a review.
 C28                   Not detected        Not detected
                                                                      IOP Conf. Series: Materials Science and Engineering
 C32                   Not detected        Not detected
                                                                      396.
 C36                   Not detected        Not detected
                                                               [4]    Brajendra, K.S., Bryan, R.M., Karl, E.V., Kenneth,
 C40                   Not detected        Not detected
                                                                      M.D., Nandakishore, R., 2014. Production,
                                                                      characterization and fuel properties of alternative
IV. Conclusion                                                        diesel fuel from pyrolysis of waste plastic grocery
    In this work, the composition of WPD are identified and           bags. Fuel processing technology 122, 79-90.
quantified using simulated distillation and n-d-M methods.     [5]    A.M. Motawie., Hala. B.I., Hasabo, M.A., Sahar,
Some conclusions can be drawn as follows.                             M.A., R.M, Abualsoud., 2016. Fractional distillation
1. Naphtha and heavy oil contents of WPD were 9.2 a                   of fuel from mixed plastic waste. Conference paper.
nd 8.9wt% higher than those of CD but kerosene and             [6]    Z.T, Aung., C, Charoenphonphanich., H, Kosaka., P,
 diesel contents were 0.7and 17.4wt% less than those                  Ewphum., P, Srichai., 2019. Investigation on physical
of commercial diesel.                                                 properties and measurement of bulk modulus of
2. Initial boiling range of WPD is almost 60% lower and               waste plastic diesel. The 10th AUN/SEED-NET
final boiling range is almost 40% higher than those of CD.            RCMEManuE,129-132.
Therefore, the WPD can be called as wide distillation fuel     [7]    M. R, Riazi., 2005. Characterization and properties
(WDF) because it is included lighter and heavier compounds            of petroleum fractions. 1st ed. ASTM, U.S.A.
than those of CD.                                              [8]    J, Wang., Z, Wang., H, Liu., 2015. Combustion and
3 All detected carbon number concentration of WPD are                 emission characteristics of direct injection
greater than that of CD. That is why WPD has high cetane              compression ignition engine fueled with full
index and paraffin contents. Then, the C28-C40 are not                distillation fuel. Journal of fuel 140, 561-567
                                                          29
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
      1
          Department of Chemical Engineering, Faculty of Engineering, Universitas Gadjah Mada Jl. Grafika No. 2
                                          Sleman, Yogyakarta 55381, Indonesia
                   2
                     PT. Sarihusada Generasi Mahardhika, Yogyakarta Factory, Yogyakarta Indonesia
                     3
                       Agrotechnology Innovation Center, PIAT-UGM, Sleman, Yogyakarta, Indonesia
                                              *farida2018@mail.ugm.ac.id
Abstract
    Wastewater Treatment Plants (WWTP) sludge can be converted into liquid fertilizer using hydrothermal treatment (HT).
This conversion technology utilizes high temperature and pressure with the presence of water as a solvent as well as reactant.
Treatment temperature of 180oC, 200 oC, 220 oC, with water-sludge ratio of 1:3, 1:5, 1:7, and a residence time of 30 minutes
were used in this research. The sludge was mixed with zeolite as catalyst, with ratio of 20% (w/w) of the sludge. Liquid
product was analyzed for the content of macronutrients (i.e. N, P, K) using the Kjeldahl method, Phosphate High Range
Portable Photometer, and Pottasium High Range Portable Photometer, respectively. The content of micronutrients was
analyzed by using Inductively Coupled Plasma (ICP). The results showed that the liquid product has concentration of 4000-
16000 ppm of total N, 300-800 ppm of P, and 3000-5000 ppm of K. Result shows that there was a potential application to
utilize the liquid as organic fertilizer. The solid product was become more stable and safer to be disposed.
                                                          30
reactors [3]. After hydrothermal process, waste sludge                                                Pressure sensor
becomes more stable. If the raw materials contain organic
materials, the characteristic of the hydrothermal product           Pressure valve                   Stirrer
   Sludge was collected from a wastewater treatment plant        sludge             Hydro         Liquid            Analysis of
of a dairy milk factory located in Jogjakarta. Sludge has                          thermal           pro             N, P, K
                                                                                 (180, 200,
moisture content of 89,03% and pH of 6,94. Composition of                          220oC)          Solid
N, P and K was 1.96, 0.71, 0.14 respectively, meanwhile, for                       30 min,                              Proximate
                                                                                                                           analysis
Ca, Mg, Fe, Mn, Cu, and Zn were 0.51, 0.09, 0.77, 0.09.
0.01, 0.05 respectively. Natural zeolite (3 mesh) for the                 Figure 2. Schematic diagram of experimental
experiment was taken from Klaten, Central Java.
                                                                2.3. Analyses
2.2. Experimental set-up
                                                                    The macro and micronutrients were analyzed after
   Hydrothermal treatments were carried out in a 2 L batch      product separation. The total-N was measured using the
reactor. The reactor was equipped with a stirrer, a pressure    Kjeldahl method while potassium (K) and Phosphate (P)
sensor, and a temperature controller as shown in Figure 1.      were analyzed with HANNA portable high range
                                                                spectrophotometer (HI96717, HANNA, USA). The
                                                                micronutrient and other heavy metals were determined using
                                                                the ICP emission spectroscopy (8300, Perkin Elmer, USA).
                                                                    .
                                                          31
III. Results and Discussion                                       Effects of temperature on the nutrient components
                                                                     The concentration of nutrients in the liquid product of
    The hydrothermal treatment produces three products i.e
                                                                  hydrothermal was shown in Table 3 and Table 4. The
liquid, solid and gas products. The distribution of those
                                                                  macronutrients in liquid product were Nitrogen (N),
products was shown in Table 2. Experiments showed when
                                                                  phosphate (P), and potassium (K).
temperature increased, the yield of liquid product also
increased. When the temperature raised, the solid production      Table 3. The concentration of macronutrients in the liquid
decreased gradually and the liquid product increased [8]. In                      product of hydrothermal
Table 2, the amount of liquid product has increased as well
as temperature increase. The highest amount of liquid               Ratio     Temp, (℃)       N (mg/L) P (mg/L) K (mg/L)
produced at 220℃. This happened because biomass                      1:3      180              16223      680     4200
conversion needed the role of temperature to provide heat to                  200              12236      810     5400
disintegrate the fragmentation of biomass bonds [8].                          220               9032      860     6800
Temperature is the most influential parameter for bio-oil            1:5      180               9339      550     4000
from hydrothermal liquefaction process with raw materials                     200                         740     5200
                                                                                                8357
for several types of biomass [9]. High temperature causes a                   220                         810     5400
                                                                                                7073
higher reaction speed and affects the number of hydrolyzed           1:7                                  480     3400
                                                                              180               5360
compounds [10]. The same results were observed for the
                                                                              200               5115      550     4200
reaction of cellulose in water at 190°C in the absence of
                                                                              220               4322      700     4800
pressurized H2, suggesting that the solubilization ratio
appears to be temperature-dependent only [11].
                                                                      The effects of temperature on the nutrient component
                                                                  produced from hydrothermal treatment were shown in table
   Table 2. Distribution of solid and liquid product after
                   hydrothermal process                           3. The higher the temperature, the higher the P and K
                                                                  obtained. The result shows that the highest concentration of
        Ratio      Temp, (℃) Liquid (ml) Solid (g)                P and K was achieved at 220oC. On the other hand, the
         1:3          180       500        174                    concentration of N decreased when the temperature
                      200       504        130                    increased. The reason is that the steam supply increased as
                      220       505        131                    well as the temperature increase and make the dilution
         1:5          180       700        169                    happened.
                                                                      But among the other compounds that were produced in
                      200       705        121
                                                                  this experiment, Nitrogen was found to be in the highest
                      220       750         97
                                                                  concentration. This merely because the initial concentration
         1:7          180       800        119
                                                                  of Nitrogen in the sludge’s raw material was also high.
                      200       860         67
                                                                  Before treatment, nitrogen was present in the form of
                      220       865         68                    macromolecular organic nitrogen in the solid phase of the
                                                                  sludge.
                                                                      Beside the macronutrient, there was micronutrient
    Besides temperature, the water-sludge ratio had an
                                                                  content from the sludge that we want to gain as the potential
important effect on the production of liquid products from
                                                                  materials for fertilizer. Table 4 shows that the contents of
hydrothermal process. The higher ratio of water/sludge, the
                                                                  micronutrient in the liquid product from 180oC to 200oC,
higher quantity of liquid product was generated. Water
                                                                  most of the elements were increased as well as the
becomes the solvent of hydrothermal process. It has an
                                                                  temperature increase, but the micronutrients decrease when
important role to enhance the stability and solubility of
                                                                  the temperature increase from 200oC to 220oC.
decomposition compounds. As reported previously, the
increase of water in the ratio, enhance the yield of liquid and
gas [12]. On the other hand, the highest amount of solid
product was in the lowest temperature.
                                                             32
        Table 4. The concentration of micronutrients in the         mising technology for producing potential liquid fertilize
                liquid product of hydrothermal                      r from the sludge waste.
        Temp     Fe     Al       Mn         Ca      Na         Si
Ratio                                                               References
        (℃)     (%)    (%)       (%)       (%)     (%)        (%)
                                                                    [1]    B. S. S. and N. P. Shinkar, “Dairy Industry
1:3     180    0.006   0.001   6.9E-05    0.195   0.023   0.013
                                                                           Wastewater Sources , Characteristics & its Effects
        200    0.007   0.005   9.41E-05   0.190   0.027   0.014            on Environment,” Int. J. Curr. Eng. Technol., vol.
        220    0.006   0.004   5.76E-05   0.198   0.027   0.016            Vol.3, No., pp. 1611–1615, 2013.
1:5     180    0.004   0.001   9.05E-05   0.143   0.018   0.019     [2]    S. Rana, P. Mishra, R. Gupta, and L. Singh, solid-
        200    0.004   0.004   4.48E-05   0.099   0.018   0.020            wastes to useful products. Elsevier B.V., 2020.
        220    0.003   0.003   5.96E-05   0.121   0.016   0.021     [3]    J. A. Libra et al., “Hydrothermal carbonization of
1:7     180    0.002   0.001   3.08E-05   0.100   0.011   0.016            biomass residuals: a comparative review of the
                                                                           chemistry, processes and applications of wet and dry
        200    0.003   0.002   4.64E-05   0.110   0.013   0.018
                                                                           pyrolysis,” Biofuels, vol. 2, no. 1, pp. 71–106, 2010.
        220    0.002   0.002   2.47E-05   0.084   0.013   0.017
                                                                    [4]    T. Yuan et al., “Fertilizer potential of liquid product
                                                                           from hydrothermal treatment of swine manure,”
    After separated the liquid and solid product of                        Waste Manag., vol. 77, pp. 166–171, 2018.
hydrothermal treatment, and dried the solid product, the            [5]    G. Jambaldorj, M. Takahashi, and K. Yoshikawa,
proximate analysis was carried out by using several                        “Liquid Fertilizer Production from Sewage Sludge
standards: ASTM D3173 for water content, ASTM D3174                        by Hydrothermal Treatment,” Proc. Int. Symp.
for ash content, ASTM D3175 for volatile content, and                      EcoTopia Sci. 2007, vol. 07, pp. 605–608, 2007.
                                                                    [6]    Y. Shao, Y. Long, H. Wang, D. Liu, D. Shen, and T.
ASTM D3172 for fixed carbon content. The result of the
                                                                           Chen, “Hydrochar derived from green waste by
proximate analysis is shown in Table 5.                                    microwave hydrothermal carbonization,” Renew.
                                                                           Energy, 2018.
           Table 5. Proximate analysis of solid product             [7]    Q. Mo, J. Liao, L. Chang, A. L. Cha, and W. Bao,
                                                                           “Transformation behaviors of C , H , O , N and S in
                                   volatile   fixed                        lignite during hydrothermal dewatering process,”
       Temp Moisture         Ash    matter carbon                          vol. 236, no. August 2018, pp. 228–235, 2019.
        (oC)      (%)        (%)     (%)       (%)                  [8]    S. Nizamuddin et al., “An overview of effect of
        Raw       9.62      52.00   31.38      7.00                        process parameters on hydrothermal carbonization
        180       5.31      46.59   28.69     19.41                        of biomass,” vol. 73, no. December 2016, pp. 1289–
        200       4.95      44.90   37.77     12.38                        1299, 2017.
        220       6.93      41.18   33.66     17.24                 [9]    B. De Caprariis, P. De Filippis, A. Petrullo, and M.
                                                                           Scarsella, “Hydrothermal liquefaction of biomass :
    Table 5 indicates that the carbon content of sludge                    Influence of temperature and biomass composition
increase after hydrothermal treatment. The fixed carbon                    on the bio-oil production,” Fuel, vol. 208, pp. 618–
content is influenced by moisture, ash, and volatile matter.               625, 2017.
If the ash and volatile content increase, the combustion            [10]   Z. Robbiani, “Hydrothermal carbonization of
efficiency will reduce [13].                                               biowaste / fecal sludge Conception and construction
                                                                           of a HTC prototype,” ETH Zurich, 2013.
                                                                    [11]   M. T. Reza, M. H. Uddin, J. G. Lynam, S. K.
IV. Conclusion                                                             Hoekman, and C. J. Coronella, “Hydrothermal
    The liquid product of hydrothermal treatment from                      carbonization of loblolly pine : reaction chemistry
wastewater treatment plant sludge contained the main                       and water balance,” Biomass Convers. Biorefinery,
nutrient elements (N, P, K) and the micronutrient needed by                vol. 4, pp. 1–11, 2014.
plants. The results showed that liquid products had conc            [12]   M. K. et al Jindal, “Effect Of Process Conditions On
entrations of 4000-16000 ppm Nitrogen, 400-800 ppm P                       Hydrothermal Liquefaction Of Biomass 1*,” IJCBS
                                                                           Res. Pap., vol. 2, no. 8, pp. 8–18, 2015.
hosphate, and 3000-6000 ppm Potassium. The optimum
                                                                    [13]   A. A. Khan, W. De Jong, P. J. Jansens, and H.
concentration of macronutrients (N, P, K) is produced at                   Spliethoff, “Biomass combustion in fluidized bed
180oC and 1:3 ratio of sludge/water. Considering the res                   boilers : Potential problems and remedies,” Fuel
ult from the liquid product, hydrothermal could be a pro                   Process. Technol., vol. 90, no. 1, pp. 21–50, 2008.
                                                              33
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Fate and Transport of Antibiotics from Pig Farms along the Bang Pakong River, Thailand
     Rathborey Chan 1,2,3*, Ratboren Chan1,2, Sirinthrar Wandee2, Manna Wang3, Wilai Chiemchaisri2, Chart
                                      Chiemchaisri2 and Chihiro Yoshimura3
             1
               Faculty of Hydrology and Water Resource Engineering, Institute of Technology of Cambodia,
                          Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                2
                 Department of Environmental Engineering, Faculty of Engineering, Kasetsart University,
                                          Bangkhen, Bangkok, 10900 Thailand
            3
              Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Ookayama,
                                           Meguro-ku, Tokyo 152-8552, Japan
                                      *Corresponding author: chanrathborey@itc.edu.kh
Abstract
    This study was investigated the impact of different season (dry and rainy seasons) in 2018 on the fate and transport of
antibiotics drained from pig farms along the Bang Pakong River, Thailand. Twenty-one residual and antibiotics were detected
in pig farm effluent, drainages, and the river in both seasons. Amoxicillin, tetracycline, chlortetracycline, and tiamulin were
detected as dominant compounds in pig farm effluent, showing detection ratio of 83–100%. Maximum residual concentrations
of those antibiotics were 0.12–5.20 in the dry season and 0.12–16.10 µg/L in the rainy season. Tetracycline (15.1 µg/L) and
chlortetracycline (16.1 µg/L) were found at the highest concentration in the rainy season. We the applied multiple linear
regression and random forest to residual antibiotics from pig farm effluents and the river in both seasons in order to model
dilution and removal processes of antibiotics drained in river. Beside dilution, removal processes of antibiotics were defined
by their partition coefficients, solubility, biodegradability, and volatility. Compared to multiple linear regression, random
forest models better helped us to identifying the removal processes of pig farm antibiotics drained to river (R2: 0.77 in the dry
season, 0.35 in the rainy season).
                                                           34
     When antibiotics reached river from pig farms and other
sources, their removal processes during transport along the
river depended on dilution and their molecular properties 2.
The rate disappearance of antibiotics through dilution was
clearly shown to associate with seasonal variation (i.e., dry
and rainy season) and movement of antibiotics drained along
the river. In contrast, the information about all significant
molecular properties that could affect removal processes of
antibiotics drained along the river have never mentioned in
one study area. Moreover, statistical methods that can make
more evident the relationship between one response variable
and two or more explanatory variables are rarely used. Since
it is currently not possible to quantitatively describe removal
processes of antibiotics, we aim to study impact of seasonal      Fig. 1. The location of sampling sites along the Bang
variation on fate and transport of pig farm antibiotics drained           Pakong River (a) and the flow directions of pig
long the river. Multiple linear regressing and random forest              farm effluent, drainages and the river (b)
models were applied to residual antibiotics from the pig farm
effluent and river in both seasons to model the dilution and      2.3. Modelling fate and transport of antibiotics
their molecular properties, which possibly effect removal             The study area was divided into four zones (Fig.1b).
processes of antibiotics drained in the river.                    Multiple linear regressing and random forest models were
                                                                  applied to residual antibiotics from the pig farm effluent and
II. Materials and Methods                                         the river in both seasons to model the dilution and their
                                                                  molecular properties i.e., biodegradability (Biowin1 and 2),
2.1. Study area and sample collection                             partition coefficient (LogKow), solubility (LogSol), and
    The site investigation was conducted at Chachoengsao          volatility (LogVol), which possibly effect removal processes
Province, which is in the eastern Thailand and known as one       of antibiotics drained in the river. All calculation methods
of intensive pig production areas. Water consumed in most         and modelling processes were detailed in our current paper
pig farms is commonly Bang Pakong River water. Typical            publication 4.
wastewater treatment used in pig farms is lagoon treatment
in series, but additional anaerobic digestion is mostly found     III. Results and Discussion
at large farms. Fig.1a shows all sampling locations and flow
direction of six farm (F1-F6), nine drainage water sampling       3.1. Residual antibiotics
location (D1-D9), and nine river sampling locations (R1-R9).          In small farms, the major residual compounds in pig farm
                                                                  effluent were TC, CTC, AMX, TIA, and FCC. In addition,
Pig farm F2, F4, and F6 are classified into small farms while
                                                                  those dominant compounds were also detected in effluent
F1, F3, and F5 are medium farms.                                  from medium farms while FCC was found at the highest
2.2. Antibiotic determination                                     concentration with 272.5 µg/L at Farm F5. The maximum
    Pig farm effluents, drainage water, river water, and pig      concentration of AMX was 32.5 µg/L while maximum
feed samples were analyzed for twenty-one antibiotics i.e.,       concentrations of TE and CTC were 20.4 µg/L, 11.2 µg/L,
penicillin G (PEN G), ampicillin (AMP), amoxicillin               respectively. Furthermore, the maximum concentration of
(AMX), neomycin (NEO), gentamicin (GEN), tetracycline             TIA was 11.7 µg/L while others were detected at the level
                                                                  lower than 1.9 µg/L. TC, CTC and AMX were confirmed in
(TE), chlortetracycline (CTC), doxycycline (DOX),
                                                                  pig feeds with maximum concentrations of 1.7 mg/kg, 8.3
oxytetracycline (OXY), erythromycin (ERY), tylosin (TYL),         mg/kg, and 0.53 mg/kg. Other antibiotics (i.e., TMP, FCC,
timicosin (TIL), norfloxacin (NOR), enrofloxacin (ENR),           OXY, NEO, TIA, NOR, DOX, and SDZ) also presented in
sulfadiazine (SDZ), trimethoprim (TMP), sulfamethoxazole          the pig feed, showing residual concentrations of 0.0003–
(SXZ), colistin (CLS), lincomycin (LIN), tiamulin (TIA),          0.033 mg/kg. The results revealed that most antibiotics in
and florfenicol (FCC). The extraction method was followed         the effluent were residual compounds from the pig feed.
the EPA 20073, whereas their concentration were detected by           The concentrations of antibiotics detected in drainages
                                                                  and the river in dry and rainy seasons are shown in Fig. 2. In
using LC-MS/MS.
                                                            35
drainages, AMX was detected at most of the sampling sites            Overall, AMX, TC, CTC and TIA were the dominant
with the maximum concentration of 0.12 µg/L in the dry           antibiotics in pig farm effluents, which were also dominant
season while it was detected only at the site D3 and D9 in       in drainages and the river except for TMP and SDZ. Thus,
the rainy season, showing the maximum concentration of           the antibiotic contamination in the aquatic environment is
0.71 µg/L. TE and CTC were also a dominant compounds in          likely caused by the residual antibiotics from the pig farm.
drainage water. The maximum concentration TE was 0.063           Furthermore, the application of the pig manure to farmland
µg/L in the dry season and 15.1 µg/L in the rainy season         as organic fertilizer should be another source for residual
while CTC was 5.2 µg/L and 16.1 µg/L. TIA presented at all       antibiotics in the aquatic environment 5. Residual antibiotics
sampling sites, but its maximum concentration decreased          in effluent may be firstly disposed to the drainage system
from 0.23 µg/L in the dry season to 0.12 µg/L in the rainy       and then further distributed to the river. Likewise, SDZ and
season. Furthermore, TMP and SDZ were detected at most           TMP in this study were investigated as dominant antibiotics
of the sampling sites in the dry season (max. 0.14 µg/L), but    used in urban areas. However, the rainy season and surface
it only detected at the site D1, D3 and D9 in the rainy season   runoff in October (176 mm rainfall/month) should dilute
(max.4.42 µg/L). Other antibiotic compounds were detected        residual antibiotics much more than dry season (54 mm
of lower than 0.05 µg/L except for LIN at the site D9 in the     rainfall/month), higher concentrations of tetracyclines and
dry season (max. 2.3 µg/L). All dominant antibiotics in          sulfonamides in drainages and river water were still detected
drainages also presented at most of sampling sites in the        in rainy season, indicating the higher release of antibiotics
river. AMX was detected at most of sampling sites in the dry     from wastewater sources including pig farms at that period.
season with the maximum concentration of 0.12 µg/L, but it
was only detected at the site R3 in the rainy season (max.       3.2. Modelling fate and transport of antibiotics
0.02 µg/L). TE and CTC were detected at higher levels in             In the dry season, dilution factor (D) in Zone 1 was
the rainy season with maximum concentrations of 4.7 µg/L         estimated to be 217.9 while D factors in Zone 2 were 8.8 in
and 1.1 µg/L, compared to those of 0.14 µg/L and 0.18 µg/L       the west flow and 1.4 in the south flow. In addition, D factor
in the dry season. TIA was detected at all sampling sites        in Zone 3 was 0.51, whereas Zone 4 showed a negative D
(max. 0.003 µg/L). Moreover, maximum concentration of            factor. The negative D factor in zone, where is located at the
sulfonamides (TMP and SDZ) increase form 0.087 µg/L in           urban areas, might be caused by the release of wastewater
the dry season to 10.32 µg/L in the rainy season. Other          contamination from many sources including pig farms to the
antibiotics were also detected at some sampling sites,           river. In addition, the hydraulic retention time of the river
showing their maximum concentration of 0.17 µg/L in the          water was short in this season. Thus, those processes were
dry season and 0.0036 µg/L in the rainy season.                  the possible cause for the high fluctuation of EC (954 µS/cm)
                                                                 at Site R7. In the rainy season, D factor in all targeted zones
                                                                 varied from 5.83 to 187, respectively. Most D factors were
                                                                 higher in most targeted zones in rainy season than those in
                                                                 the dry season except for the Zone 1 due to rich rainfall
                                                                 precipitation in the rainy season.
                                                                     For the MLR model in the dry season, Biowin2 showed
                                                                 the highest t-value of 2.8, followed by LogVol (t-value:
                                                                 1.58). The percentage of variance explained by this model
                                                                 was 19.2% (overall R2: 0.17, residual standard error: 22.4 on
                                                                 DF of 69, and F-statistic: 7.1). Likewise, the p-value of
                                                                 Biowin2 was lower than 0.05 while the p-value of LogVol
                                                                 was only 0.1. Identically, Biowin2 was the most relevant in
                                                                 the model, corresponding to 10.7% of total contribution. For
                                                                 the MLR model in the rainy season, t-values of all variables
                                                                 were in acceptable range (t-value>1.6). The percentage of
                                                                 variance explained by this model was 19.8% (overall R2: 0.2,
                                                                 residual standard error: 10.1 on DF 74, and F-statistic: 3.6).
                                                                 Variables shown percentage of relative important ranging
                                                                 from 1.5% to 6.1%.
                                                                     For the RF model in the dry season, the percentage of
                                                                 variance explained by the model was 92.5% with the mean
Fig. 2. The concentrations of antibiotic classes detected at     squared residuals of 16.6. The highest percentage decrease
        each sampling site in the drainage and the river dry     accuracy (%IncMSE) was presented by Biwon2 following
        and rainy seasons                                        by LogKow, LogVol, LogSol, and Biowin1. In the rainy
                                                           36
season, the percentage of variance explained by the model           20th anniversary KWEF commemorative research project.
was 92.4% with the mean squared residuals of 3.6. In both           The study was also carried out under the scheme of
seasons, all variables presented significance in the models,        collaborative research (CR) and PhD Sandwich Program of
showing %IncMSE of 3.8%–24.7%.                                      AUN/SEED-Net that is supported by the Japan International
    Based on AIC, RF models in both seasons indicated the           Cooperation Agency (JICA).
lower prediction error than MLR models. Fig. 3 shows the
plots of actual and modelled concentrations in dry and rainy
seasons. The coefficient of determination of MLR and RF
models accounted for 0.06 and 0.14, respectively in the dry
season while they were 0.43 and 0.51 in the rainy season. RF
models showed better fitness between modelled and actual
concentrations than MLR models. Lower %IncMSEs of all
variables in the RF model in the dry season may imply the
low effluent flux from pig farms due to no hydraulic
overload in the retention lagoon. Moreover, due to the longer
hydraulic retention in the drainages system in this season,
residual antibiotics were not transported well from drainages
to the river.
    Overall, major removal processes of residual antibiotics
in this area during dry and rainy seasons were determined by
their partition coefficients, solubilities, biodegradability and    Fig. 3. Comparison of multiple linear regression (MLR) and
volatility. Partition coefficient and solubilities of antibiotics           random forest (RF) models performance on test data
could define their adsorption affinity to suspend particles or
                                                                            in dry and rainy seasons
sediment in the river6. Antibiotics with low LogKow and high
solubility are defined to low adsorption affinity while those
with the high LogKow and the low solubility are defined to          References
high adsorption affinity. Likewise, antibiotics with Biowin1        [1] Lekagul, A., Tangcharoensathien, V., Mills, A., Rushton,
and Biowin2 values of higher than 0.5 are defined as high               J. and Yeung, S., 2020. How antibiotics are used in pig
biodegradation in surface water. In this case, AMX may be               farming: a mixed-methods study of pig farmers, feed
highly removed in the river water by biodegradation because             mills and veterinarians in Thailand. BMJ Global Health,
its Biowin1 and Biowin 2 values are above 0.5. Likewise,                5(2), p.e001918.
substantial removal of TIA drained along the river may be           [2] Selvam, A., Kwok, K., Chen, Y., Cheung, A., Leung,
occurred by adsorption because its LogKow and solubility are            K.S. and Wong, J.W., 2017. Influence of livestock
4.75 and 0.6 mg/L. TE, CTC, SDZ, and TMP, were still high               activities on residue antibiotic levels of rivers in Hong
in drainages and the river because both antibiotics are more            Kong. Environmental Science and Pollution Research,
stable and persistence in biotransformation. Moreover, TE               24(10), pp.9058-9066.
and CTC persistence in aquatic environment may be also              [3] EPA., 2007. Method 1694 : Pharmaceuticals and
associated with low volatility in water.                                Personal Care Products in Water , Soil , Sediment , and
                                                                        Biosolids by HPLC / MS / MS. EPA Method.
IV. Conclusion                                                      [4] Chan, R., Wandee, S., Wang, M., Chiemchaisri, W.,
     We investigated the fate and transport of antibiotics              Chiemchaisri, C. and Yoshimura, C., 2020. Fate,
along Bang Pakong River and found that residual antibiotics             transport and ecological risk of antibiotics from pig
in the river are discharged from pig farms especially in the            farms along the bang pakong River, Thailand.
rainy season. In this target area, TE, CTC and TIA were                 Agriculture, Ecosystems & Environment, 304,
dominant antibiotics in the pig farm effluent and were                  p.1071235.
determined as major antibiotics in the drainages and the river.     [5] Kemper, N., 2008. Veterinary antibiotics in the aquatic
In addition, the removal processes of antibiotics during such           and terrestrial environment. Ecological indicators, 8(1),
transportation to the river were modeled as functions of their          pp.1-13.
partition coefficients, their solubilities, biodegradability and    [6] Boy-Roura, M., Mas-Pla, J., Petrovic, M., Gros, M.,
volatility.                                                             Soler, D., Brusi, D. and Menció, A., 2018. Towards the
                                                                        understanding of antibiotic occurrence and transport in
Acknowledgement                                                         groundwater: Findings from the Baix Fluvià alluvial
                                                                        aquifer (NE Catalonia, Spain). Science of the total
   Authors are grateful to Kurita Water and Environment
                                                                        environment, 612, pp.1387-1406.
Foundation (KWEF), Japan for funding this research under
                                                              37
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Frita Dewi Damayanti 1, Wahyudi Budi Sediawan 1,*, Muhammad Mufti Azis 1, Indah Hartati 1, 2
     1
         Department of Chemical Engineering, Faculty of Engineering, Universitas Gadjah Mada, 55281 Indonesia
     2
         Department of Chemical Engineering, Faculty of Engineering, Universitas Wahid Hasyim, 50236, Indonesia
                                   *Corresponding author: wbsediawan@ugm.ac.id
Abstract
    As one of the largest rice producers in Asia, Indonesia has huge of biomass resources such as rice straw. The objective of
this work was to find the highest cellulose content from hydrolysis of rice straw’s hydrotropic pulp with hydrochloric acid
and sulfuric acid. The rice straw was successively pretreated with hydrotropic delignification and bleaching before hydrolysis.
The hydrotropic delignification and bleaching were able to remove significant amount of lignin, hemicellulose, and other
extractive substances. In this study, the hydrotropic delignification was performed at 80 oC for 60 minutes with urea solution
30% and bleaching was performed at 70oC for 60 minutes with hydrogen peroxide. The hydrolysis of rice straw hydrotropic
pulp was carried out in a reactor under microwave irradiation, where the hydrolysis reaction times (10-50 minutes) were
examined. The result shows that the highest cellulose content found at the optimum of observed conditions (2 M, 80oC, 30
minutes) for hydrochloric acid and sulfuric acid hydrolysis were 64.44% and 56.93% respectively.
                                                            38
and less impact on other lignocellulose component [4].           rice straw powder and 1200 ml 30% urea solution were put
Bleaching is a process using chemical substances to remove       into 1500 ml flask. The mixture was then heated at 80oC for
stains or dirt attached to the material. One of the commonly     60 minutes in a microwave heater. The mixture was then
used as a bleaching agent is hydrogen peroxide. Hydrogen         filtered. The solid residue collected was washed thoroughly
peroxide is an oxidizing agent that can be used as an            by distilled water until became neutral and then dried at 80oC
environmentally friendly pulp bleach [5].                        for 6 h. Finally, the rice straw’s hydrotropic pulp was
    The hydrolysis reaction in dilute acid is very complex,      weighed to determine the yield.
mainly because the substrate is in a solid phase and the              Bleaching of Rice Straw’s Hydrotropic Pulp. Twenty
catalyst in a liquid phase. Various factors (particle size,      grams of rice straw’s hydrotropic pulp was put into a flask,
liquid to solid ratio, type and concentration of acid used,      and mixed with hydrogen peroxide (5% concentration) and
temperature, and reaction time) influence monomer yield [6].     distilled water to obtain a solid to liquid ratio of 1:10. The
Hydrochloric and sulfuric acids have been used to catalyst       bleaching process is carried out in alkaline condition (pH =
the hydrolysis of rice straw. For other raw materials            11) by addition of aqueous sodium hydroxide (2%). The
hydrofluoric and acetic acids were also employed as a            mixture was then heated in a microwave at 70oC for 60
catalyst.                                                        minutes. After that, the mixture was filtered and washed
    Microwave irradiation has been widely used in many           using distilled water until the filtrate became neutral. The
areas because of its high heating efficiency and easy            solid obtained was then dried in an oven until constant
operation [7]. Microwave heats the target object directly by     weight.
applying an electromagnetic field to dielectric molecules as         Acid Hydrolysis of Rice Straw’s Hydrotropic Pulp.
compared to conduction or convection heating which is            Samples of 10 g bleached pulp were mixed with 200 ml
based on intramolecular heat transfer. It can significantly      solutions of acid (sulfuric and hydrochloric acid). For this
increase the hydrolysis of rice straw. Several researcher have   study, both sulfuric and hydrochloric acid concentrations of
used microwave as a potential method for treatment of            2 M were applied. The hydrolysis was carried out at 80oC in
various lignocellulosic materials and to damage the              a microwave oven with temperature control. To prevent
recalcitrant lignin [3].                                         water loss by evaporation, the reactor was equipped with a
    The objective of this work is to study the hydrolysis of     reflux system. Mild agitation was also applied. On
rice straw’s hydrotropic pulp with hydrochloric acid and         completion of the hydrolysis reaction (10, 20, 30, 40, 50
sulfuric acid to find the highest cellulose content.             minutes), the reactor contents were filtered and washed
                                                                 thoroughly by distilled water until the residue became
II. Materials and Methods                                        neutral. The samples were dried at 80oC for 6 h before
                                                                 further analysis.
2.1. Raw Materials
    Rice straw was obtained from local farm around               Table 1. Chemical composition of rice straw using Chesson
Yogyakarta city (Yogyakarta, Indonesia). Other reagents          Method
were purchased from Merck Chemicals and Life Sciences
(Jakarta, Indonesia); they were analytically pure and applied     Number              Components               Values (%)
without pretreatment.                                             1                     Cellulose                  37.56
    The rice straw was cut into pieces of size of 1-2 cm and      2                   Hemicellulose                35.37
washed with water to remove dirty and aqueous soluble             3                      Lignin                    14.45
substances. The washed rice straw was then dried under            4                       Ash                      11.29
sunlight for 2 days. The rice straw was then crushed until it
becomes a powder. The powder was sieved using a 60 Mesh          2.3. Analysis
sieve, and the undersize was dried. The chemical                     The contents of cellulose, hemicellulose, lignin, and ash
compositions of rice straw before hydrolysis are presented       were determined by using Chesson analysis method [8]. One
in Table 1.                                                      g of dry sample (a) was added with 150 ml of aquadest, then
                                                                 refluxed at 100oC in water bath for 1 h. The resultant
2.2. Isolation of Cellulose from Rice Straw                      solution was filtered, and the residue was washed with hot
    Hydrotropic Treatment of Rice Straw. Forty grams of          water (300 ml). The residue was then dried in an oven until
                                                           39
constant weight (b). After that, the residue was added with       increasing reaction time in the range from 10 to 50 minutes.
150 ml of 1 N H2SO4 then refluxed in a water bath at the          This is probably due to the excessive hydrolysis of cellulose
temperature of 100oC for 1 h. The obtained solids were            to glucose.
filtered and washed with aquadest (300 ml) to neutral                 Table 2 shows that rice straw before hydrolysis
condition, dried and weighed (c). The dried residue was then      contained 47.42% of cellulose and 10.89% of lignin.
added with 10 ml of 72% H2SO4 and soaked at room                  Sulfuric acid hydrolysis for 10 minutes was the lowest for
temperature for 4 h. The residue was then mixed with 150          cellulose content and the highest of lignin content among
ml of 1 N H2SO4 and refluxed on a water bath for 1 h. After       others. Hydrolysis for 10 minutes has been able to increase
that, the residue was filtered and washed with aquadest (400      cellulose by 13.01% and to decrease the lignin content by
ml) until neutral condition and then heated in an oven at         2.38%. Meanwhile, for 30 minutes of hydrolysis, the
temperature of 105oC until constant weight. The solid             cellulose became 56.93% or increased 20.05% and lignin
obtained was weighed (d). Finally, the solid residue was          decreased by 20.57%. Hydrochloric acid hydrolysis for 10
ashes in a furnace, and the ash was weighed (e).                  minutes was the lowest for cellulose content and the highest
    The composition of the pulp was calculated by:                lignin content among others. Hydrolysis for 10 minutes has
                                       𝑏−𝑐                        been able to increase cellulose by 14.15% and to decrease
   𝐻𝑒𝑚𝑖𝑐𝑒𝑙𝑙𝑢𝑙𝑜𝑠𝑒 𝑐𝑜𝑛𝑡𝑒𝑛𝑡 (%) =             × 100         (1)
                                        𝑎                         the lignin content by 3.86%. Meanwhile, for 30 minutes of
                                   𝑐−𝑑                            hydrolysis, the cellulose became 64.44% or increased 35.89
      𝐶𝑒𝑙𝑙𝑢𝑙𝑜𝑠𝑒 𝑐𝑜𝑛𝑡𝑒𝑛𝑡 (%) =            × 100           (2)
                                      𝑎                           % and lignin decreased by 20.47%. For 40 – 50 minutes,
                                 𝑑−𝑒                              both sulfuric and hydrochloric acid, the cellulose content
        𝐿𝑖𝑔𝑛𝑖𝑛 𝑐𝑜𝑛𝑡𝑒𝑛𝑡 (%) =            × 100            (3)
                                    𝑎                             decreased with reaction time. From this data, it can be seen
                                  𝑒
            𝐴𝑠ℎ 𝑐𝑜𝑛𝑡𝑒𝑛𝑡 (%) = × 100                      (4)      that if the cellulose content increased higher, the lignin
                                  𝑎
    The yields of MCC from rice straw were calculated             content will also decreased more. This may be due to
according to equation (Eq. 5) as follows:                         production of sugar. The level and composition of the sugar
                              𝑚′                                  released depend on the type of the acid in the reaction
               𝑌𝑖𝑒𝑙𝑑 (%) =       × 100                  (5)       mixture. Acid treatment with sulfuric acid mainly releases
                              𝑚𝑜
where 𝑚′ and 𝑚𝑜 are the mass of product and raw                   xylose [9]. It can also be seen that the using of hydrochloric
material of the hydrolysis process, respectively.                 acid was more effective to increase cellulose content than
                                                                  the using of sulfuric acids for hydrolysis of rice straw.
                                                                      This study was compared to the traditional heating
III. Results and Discussion
                                                                  method by Fan, G [7], especially sharp decrease in treatment
   For acid hydrolysis, both sulfuric and hydrochloric acid       time. The time of delignification and acid treatment
concentrations were 2 M, the temperature of reaction was          decreased from 12 h to 60 minutes and 5 h to 30 minutes,
80oC, and reaction time was varied from 10 to 50 minutes.         respectively. Thus it is reasonable to conclude that
The cellulose and lignin content obtained from the solid          microwave assist is an effective methodology to prepare
phase at various reaction time are presented in Table 2.          MCC from rice straw as raw material.
   Based on Table 2, the yield of MCC slightly decreased              Characterizations of rice straw before and after
from 88.60 to 82.25% for sulfuric acid hydrolysis and             hydrolysis have been examined by applied X-ray Diffraction
decreased from 82.96 to 78.36% for hydrochloric acid              (XRD) analysis technique. The result is presented in Fig.1.
hydrolysis. The MCC yield decreased steadily with                 The XRD pattern of rice straw before hydrolysis, after
                                                                                    41
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
   Effect of Temperature and Airflow Rates on Design Parameters for Drying of Natural
                 Tannin Extracts From Rhizophora apiculata Bark Waste
Edia Rahayuningsih 1*, Aswati Mindaryani 1, Mukmin Sapto Pamungkas 1, Dwi Tyaningsih Adriyanti 2, Chandra
                                  Wahyu Purnomo 1, and Joshua Bagaskara 1
            1
                Department of Chemical Engineering, Faculty of Engineering, Universitas Gadjah Mada,
                                        55381 Sleman, Yogyakarta, Indonesia
                       2
                         Faculty of Forestry, Universitas Gadjah Mada, Yogyakarta, Indonesia
                                               *edia_rahayu@ugm.ac.id
Abstract
    PT Bintuni Utama Murni Wood Industries (PT BUMWI) produces bark waste for the Rhizophora apiculata type in the
form of chips (small pieces) reaching 250-500 tons per month. Based on previous research results, the bark has a natural dye
content of 0.2101 grams per gram of dry solid with a tannin content of up to 0.0531 grams per gram of solid. In this study, the
bark waste's concentrated extract was dried in an open system using a hotplate on a metal plate with airflow. The drying
temperature was varied at 60, 70, and 80 oC, and the airflow rates was adjusted to variations of 1, 2, and 3 m/s. Drying was
carried out for the extract thickness of 1 mm. The mass of the material was weighed every 2 minutes. The optimum drying
was found by using response surface methodology (RSM) and obtained at a temperature of 80 ℃, airflow rates 1.75 m/s with
drying design parameters were mass transfer coefficient (Kya) at 65.77 kg H2O m-2 hour -1∆y-1, a constant drying rate (Rc) at
9.01 kg H2O hour-1 m-2, and critical time (tc) for 0.5 hours. This optimization can be used to design appropriate technology for
processing bark waste as a source of natural dyes on a more massive scale.
                                                           42
obtain the optimum drying process by varying airflow rates         Where, Rc is constant drying rate in kg H2O hour-1 m-2,
and heating temperatures.                                     Ls is mass of the sample in kg, A is effective drying surface
                                                              area in m2, xi+1 is water content at t = t+1, xi is water content
II. Materials and Methods                                     at t = t, ∆t is the time interval in an hour, Kya is overall mass
                                                              transfer coefficient in kg H2O m-2 hour -1∆y-1, y’s is moisture
2.1. Materials
                                                              saturates on the surface of the material at wet bulb
    The material used in this research was concentrated
                                                              temperature, y is drying gas humidity in kg H2O per kg dry
extract (ρ = 1.084 g/mL). This material was obtained from
                                                              solids, tc is constant drying time in an hour, and ∆x is change
the extraction of Rhizophora apiculata bark powder from PT
                                                              in water content in solids.
BUMWI then evaporated up to 8x concentrations.
                                                                   Optimization of the drying process from each
                                                              independent variable (X; T and v) on the dependent variable
2.2. Methods
                                                              (Y; Kya and Rc) was carried out using Response Surface
    The drying tray with dimensions of 10 x 10 cm was dried
                                                              Methodology in Minitab 16 Statistical Software. The
in a 105 oC oven for 15 minutes. The tray was kept in the
                                                              experimental design model is a second-order polynomial
desiccator for 5 minutes. The empty tray was weighed on a
                                                              model, presented in the following equation [4].
digital analytical balance. A total volume of 10 mL of
                                                                         k          k
concentrated extract was poured into the drying tray. The     Yi = b0 + å bi X i + å bii X 2 + åå bij X i X j + e      (Eq.5)
tray containing concentrated extract was weighed initially.             i =1       i =1           i< j
Drying begins by placing the tray on the hotplate with
airflow through on it. The tray was weighed every 2 minutes   III. Results and Discussion
for 1 hour. Optimization of the drying process was carried
out using a 2k factorial design shown in Table 1.                 In designing the appropriate technology, drying aims to
                                                              extend shelf life and facilitate handling during sales [5].
Table 1. Experimental Range and Level Design                  Dyes products in powder form will be easy to distribute and
                                                              easy to apply in their use. After conducting research on the
                                                              effect of variations in airflow rates and drying temperature
      Independent                  Range and Level
        Variable              -1          0        +1         in the hotplate system, different results were obtained.
 Temperature [T], oC          60         70        80             From Fig. 1 it can be seen that the higher the airflow
 Airflow rate [v], m/s         1          2         3         rates, at the same time, the higher the sample moisture
                                                              content will be obtained. This result shows that the drying
2.3. Analytical methods                                       process was affected by airflow rates. Fig. 1(b) and (c)
                                                              shows that drying at a temperature of 70 ºC and 80 oC
   Unsteady state mass balance was applied to the drying
                                                        !"    produces a moisture content that is relatively the same with
process and the rate of change in moisture content ( )        speed variations. The difference can be observed in the
                                                    !#
follows (Eq.1)                                                gradient of the decrease in mass of the sample. The change
                 𝑑𝑥   (𝑥$%& − 𝑥$ )                            in the sample's water content at a temperature of 80 ºC with
                    =                              (Eq.1)
                 𝑑𝑡       ∆𝑡                                  a speed of 2 m/s is the fastest.
                           𝐿𝑠 ∆𝑥
                   𝑡𝑐 =                              (Eq.4)
                           𝐴 𝑅𝑐
                                                        43
                                                                                    Fig. 2. Drying Rate vs. Time
               Fig. 1. Sample Mass vs. Time
                                                                        Based on Fig. 2, The drying rate profile has increased
    The drying rate (-dx/dt) was determined by processing           from 60 to 80 oC. It can be seen that the lowest water content
the sample's water content against time using the calculus          produced at the end of drying occurs at drying 70 oC, an
method, dividing the graph of moisture content against time         airflow rate of 1 m/s with a water content of 6.2 %. Airflow
into three parts. Part 1, which is the part that forms a straight   rates affect the temperature distribution at the time of drying.
line, is carried out by linear regression until the maximum         The drying rate increases for a speed of 1 m/s to 2 m/s.
correlation coefficient (R2) is obtained. Part 2 is the part that   However, at the highest airflow rates, heat transferred to the
includes the curved line and is subjected to polynomial             hotplate decrease.
regression. Part 3 is the one that forms a horizontal line,             Airflow rates at 3 m/s cause the surface temperature to
which indicates that the drying process has stopped. The            be the same as air flowed temperature so that the heat
relationship curve between the rate of reduction in water           transfer for drying is reduced. The drying operation at a
content with time is presented in Fig. 2.                           temperature of 80 ℃ with a 2 m/s is the highest drying rate
                                                                    achieved, which is 0.8858 grams/minute in 4 minutes.
                                                                        A summary of the design parameters for drying is
                                                                    presented in Table 2. It can be concluded that the mass
                                                                    transfer coefficient and rate of drying value will increase
                                                                    with increasing drying temperature at the same airflow rates.
                                                                    High temperatures will provide more heat energy. When
                                                                    viewed for variations in airflow rates, an increase in airflow
                                                                    rates will encourage the fluid's tendency to flow turbulently.
                                                                    With the turbulent flow, the film layer formed during the
                                                                    mass transfer process will become thinner so that the mass
                                                              44
 transfer process (diffusion) between water compounds takes        (Eq.6) and (Eq.7) with the coefficient of determination R2
 place more intensely. However, in the drying process with a       value at 97.51% and 90.98%.
 hotplate system flowed by air, it will cause a decrease in the     𝐾( 𝑎 = 183.1 − 6.62 𝑇 + 75.3𝑣 + 0.06𝑇 *                (Eq.6)
 temperature on the hotplate surface at high speeds so that the            −12.89 𝑣 * − 0.38 𝑇. 𝑣
 heat energy for drying and Kya value will decrease.                𝑅𝑐 = 47.35 − 1.69𝑇 + 11.8𝑣 + 0.014𝑇 *
                                                                                                                           (Eq.7)
                                                                           −2.11 𝑣 * − 0.051 𝑇. 𝑣
 Table 2. Drying Design Parameter                                      The optimum results were obtained at a temperature of
                                                                   80 oC with airflow rates at 1.75 m/s. The maximum value of
      [T], OC   [v], m/s         Rc      Kya       tc, hours       Kya and Rc were 65.770 kg H2O m-2 hour -1∆y-1 and 9.013 kg
       60          1             3.71   37.27          1.20        H2O hour-1 m-2. Critical time (tc) was obtained at 0.5 hours.
       70          1             2.78   38.23          0.83
                                                                   IV. Conclusion
       80          1             7.97   59.40          0.60
       60          2             4.81   48.32          1.20            The optimum condition for drying of concentrated
                                                                   extract from Rhizophora apiculata bark occurred at a
       70          2             6.69   52.28          0.50
                                                                   temperature of 80 oC with an airflow rates of 1.75 m/s. The
       80          2             8.79   65.46          0.50        drying design parameters were constant drying rate at 9.01
       60          3             3.72   37.37          1.20        kg H2O hour-1 m-2, mass transfer coefficient (Kya) at 65.77
       70          3             3.79   38.13          0.93        kg H2O m-2 hour -1∆y-1, and critical time (tc) for 0.5 hours.
       80          3             5.96   44.37          0.50
                                                                   Acknowledgment
  Rc (kg H2O hour m ); Kya (kg H2O m hour ∆y-1)
                       -1   -2             -2     -1
                                                                       We would like to thank The Direktorat Penelitian UGM
    Optimization was carried out by Response Surface               for their financial support in this research.
 Methodology (RSM). Contour plot and optimization of Kya
 and Rc value are shown in Fig. 1.                                 References
                                                                   [1] Park, C., 2007, A Dictionary of Environment and
                                                                       Conservation 1st, Oxford University Press, New York.
                                                                   [2] Rahayuningsih, E., Mindaryani, A., Adriyanti, D.T.,
                                                                       Prihastiwi, L.P., Adina, P., Ayu, E. D., 2020, Conceptual
                                                                       Design of a Process Plant for the Production of Natural
                                                                       Dye from Merbau (Intsia bijuga) Bark, Regional
                                                                       Symposium on Chemical Engineering (RSCE) 26th,
                                 (a)                                   Kuala Lumpur
                                                                   [3] Earle, R. L., 2004, Unit Operations in Food Processing
(b)
                                                                       Web. Edition, The New Zealand Institute of Food
                                                                       Science & Technology (Inc.), Terrace End.
                                                                   [4] Montgomery, D. C., Myers, R.H., Anderson, C.M.,
                                                                       2012, Response Surface Methodology: Process and
                                                                       Product Optimization Using Designed Experiments,
                                                                       New York: John Wiley & Sons.
                                                                   [5] Chowdury, K., Khan, S., Karim, R., Hasan, A., and
                                                                       Obaid, M., 2011, Effect of Moisture, Water Activity and
  Fig. 1. (a) Contour Plot (b) Optimization Curve Showing              Packaging Materials on Quality and Shelf Life of Some
                                                                       Locally Packed Chanachur, Bangladesh Journal of
  The Effects of Independent Variables on Kya and Rc Value             Scientific and Industrial Research 46, 33-40.
                                                              45
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
           Rany You1, Chanto Chea1, Tomoki Nakayama2, Rithy Kan3, Chanmoly Or3, Mitsuhiko Hata4,
                                Masami Furuuchi4, Chanreaksmey Taing1,5, *
                   1
                    Faculty of Food and Chemical Engineering, Institute of Technology of Cambodia
                         Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                2
                                  Faculty of Environmental Science, Nagasaki University
                                     1-14 Bunkyomachi, Nagasaki, 852-8521, Japan
                         3
                           Research and Innovation Center, Institute of Technology of Cambodia
                         Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
             4
               Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan
                                  Kakumamachi, Kanazawa, Ishikawa 920-1164, Japan
                      5
                        Research Unit Water and Environment, Institute of Technology of Cambodia
                         Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                                 * tsmey16@gmail.com
Abstract
    Ambient air pollution is a mix of chemicals, particulate matter, and biological materials that react with each
other to form tiny hazardous particles. It causes breathing problems, chronic diseases, increased hospitalization,
and premature mortality. One of the air pollutant generators is traffic activities. Therefore, the purposes of this
study are to assess the concentration of Total Suspended Particulate (TSP), correlation of TSP with the number of
vehicles, and Particulate Matter (PM) fraction emitted from traffic along with the road sites in Phnom Penh city to
the atmosphere. The experiment was conducted in 4 sites including Kim Il Sung Blvd (KISB), Chroy Changvar
Cross-intersection (CCV), Stung Mean Chey Cross-intersection (SMC), and Russian Federation Blvd (RFB).
High-Volume air sampler was used for TSP measurement, Nano sampler for PM fraction, and Low-cost sensor for
PM2.5 detection. As the result, at four sampling sites the concentrations of TSP and PM2.5 reached the maximum
at 1072µg/m3 and 41.35±1.37µg/m3, 234.09µg/m3 and 28.33±1.79µg/m3, 151.27µg/m3 and 15.88±1.57µg/m3, and
161.64µg/m3 and 14.24±1.65µg/m3, respectively at 5-7 pm. The correlation between traffic and TSP at SMC has
r2=0.82, shows that traffic was the main source that contributes to the concentration of TSP. However, the traffic
movement was not merely a source of the pollutants at RFB (r2=0.03) while the other two sites, KISB and CCV
had the moderate effect with r2=0.56 and 0.64, respectively. The concentration of PM fraction was found the
highest in coarse particles size at KISB, SMC, and RFB while the concentration of PM0.1 reached the
maximum,116.79µg/m3 at CCV. Thus, this study indicates that the atmospheric particle concentration in Phnom
Penh city is affected by the air pollutants emitted from vehicles.
                                                      46
I. Introduction                                                  together and multiplied by 6 to represent for 1 hour. TSP was
                                                                 measured every 2-hour so the filter used with a high-volume
    The development of Phnom Penh, the capital city of
                                                                 air sampler (HV) model (SHIBATA HV-500F) must be
Cambodia, is particularly important. On the other hand, this
                                                                 changed every 2-hour. Whereas Nano sampler (NS) model
urbanization invigorates people to immigrate from rural
                                                                 KANOMAX 3180 is used for measuring the concentration
areas to urban. Due to this, the number of vehicles has been
                                                                 of PM fraction. Low-Cost Sensor (LCS) was used to detect
increased and the congestion happened almost every part of
                                                                 the amount of PM2.5.
the city [1]. Ambient air pollution is a mix of chemicals,
particulate matter, and biological materials that react with
                                                                 2.3. Analytical methods
each other to form tiny hazardous particles called Particulate
                                                                     The concentration of TSP and PM were calculated by the
Matter (PM), a mixture of solid, liquid, or solid and liquid
                                                                 following formula:
particles suspended in the air [2]. It causes breathing
problems, chronic diseases, increased hospitalization, and                             𝑚𝑓 − 𝑚𝑖
premature mortality. To simplify the assessment of PM                         𝐶𝑇𝑆𝑃 =            × 103                (Eq.1)
                                                                                          𝑉
levels and facilitate the implementation of PM pollution                              𝑚𝑓 − 𝑚𝑖                        (Eq.2)
                                                                               𝐶𝑃𝑀 =            × 106
control policies, it is common to categorize PM levels by the                           𝑡×𝑞
aerodynamic diameter such as total suspended particulate         Where 𝐶𝑇𝑆𝑃 , 𝐶𝑃𝑀 are the concentration of TSP and PM
(TSP) (PM<30μm), PM10 (PM<10μm), PM2.5                           particularly (μg/m3), 𝑚𝑖 , 𝑚𝑓 are the mass filter before an
(PM<2.5μm), coarse particles (2.5μm<PM<10μm), and                d after sampling (mg), 𝑉 is the total volume of an air s
ultrafine particles (UF) (PM<0.1μm) [3]. However, traffic        ample shown on HV, (m 3), 𝑡 is sampling period (min),
movement produces road dust and air turbulence that can re-      and 𝑞 is the flow rate (L/min).
entrain road dust [4], which are the dominant sources of air     III. Results and Discussion
pollution. Therefore, the purposes of this study are to assess
the concentration of TSP, correlation of TSP with the number     3.1. Pollutants Concentration
of vehicles, and PM fraction emitted from traffic along with         At KISB in the rush hours, 5-7pm, the mass
the road sites in Phnom Penh city to the atmosphere.             concentration of TSP and PM2.5 rose to the peak at
II. Materials and Methods                                        1072μg/m3 and 41.35±1.37μg/m3, respectively as shown in
                                                                 Fig. 2(a). Also, during 5-7 pm has released by far the
2.1. Sampling sites                                              greatest mass concentration of TSP, approximately greater
    The experiment of this project was conducted in Phnom        than twice as much as during 9-11 am, which is the time that
Penh, the capital city of Cambodia. The four main cross-         received the next largest amount of TSP concentration.
intersection such as Kim Il Sung Boulevard (KISB), Chroy         Whereas Fig. 2(b) clearly shows that at CCV, the amount of
Changvar cross-intersection (CCV), Stung Mean Chey               PM2.5 reached the peak of 22.79±1.28μg/m3 and
cross-intersection (SMC), and Russian Federation                 28.32±1.79μg/m3 in rush hours, 7-9am and 5-7pm,
Boulevard (RFB) were selected as shown in Fig. 1.                respectively while it tended to the minimum about
                                                                 14.59±0.97μg/m3 during 1-3 pm. As represented in Fig. 2(c),
2.2. Method of Sampling                                          the peaks of TSP concentration reached 151.27μg/m3 and
    In each sampling site, the data has been collected for 2     148.89μg/m3 in the rush hours during 7-9am and 5-7pm,
days that must be included one weekday and one weekend           individually whereas between 9am to 5pm, the
day. However, the duration of the experiment was 12 hours        concentration of TSP seems a bit fluctuated. Moreover, the
per day for all instruments. Throughout the monitoring           concentration of PM2.5 in the rush hours, 7-9 am and 5-7
period, traffic volume at every site described above has been    pm, also reached the peak at 15.88±1.30μg/m3 and
recorded for 12 hours during the experiment. Since there         12.30±1.57μg/m3, respectively while the others remained in
were many vehicles, we cannot count directly while they          a low concentration. Lastly, at RFB, during rush hours the
travel on the road, then we use the camera to record for         concentration of TSP reached the highest at 161.64μg/m3
counting at another time. We recorded 5 minutes at the           while PM2.5 also reached a maximum of 14.24±1.65μg/m3
beginning of time and 5 minutes of the end of time, then we      as seen in Fig. 2(d).
added the number of vehicles from these two periods
                                                           47
                                                     Figure1.Study area in Phnom Penh city.
                     140                                                                  1000
                     120
                                                                          ( µg/m³)
                                                                                             800
     ( µg/m³)
                     100
                      80                                                                     600
                      60                                                                     400
                      40
                                                                                             200
                      20
                       0                                                                           0
                           7-9am 9-11am 11-1pm 1-3pm 3-5pm 5-7pm                                           7-9am 9-11am 11-1pm 1-3pm       3-5pm   5-7pm
                                          Time                                                                              Time
Fig. 2(a). The concentration of TSP and PM at KISB Fig. 2(b). The concentration of TSP and PM at CCV
                     250                                                                          200
Mass concentration
Mass concentration
                     200                                                                          150
     ( µg/m³)
( µg/m³)
                     150
                                                                                                  100
                     100
                      50                                                                           50
                       0                                                                               0
                           7-9am 9-11am 11-1pm 1-3pm 3-5pm 5-7pm                                           7-9am 9-11am 11-1pm 1-3pm       3-5pm   5-7pm
Time Time
Fig. 2(c). The concentration of TSP and PM at SMC Fig. 2(d). The concentration of TSP and PM at RFB
                                                                   48
3.2. Correlation between TSP and number of Vehicles                             CCV the concentration of PM<0.1 µm (UF) and
    At KISB, there is a clear correlation according to the                      PM>10μm were the highest, 116.79μg/m3 and
coefficient of determination R-squared (R2) was 0.567                           116.48μg/m3 if compared to the total concentration.
which means that there is about 56.7% possibility of TSP
link to the amount of traffic while at CCV reveals that                         IV. Conclusion
traffic count explained 64.41%. However, the traffic
                                                                                    To sum up, the concentrations of TSP measured by HV
responses 82.76% of the variation in TSP concentration.
                                                                                and PM2.5 reached the maximum at all sites during 5-7
This can be assumed that it is the main source that
                                                                                pm. Moreover, the highest concentration of TSP was
contributes to the mass concentration of TSP. At RFB, the
                                                                                found at KISB. The correlation between TSP and the
traffic counted explained 3.8% of the variation in the TSP
                                                                                number of vehicles shows that the number of vehicles can
level meaning that traffic was not merely a source of TSP
                                                                                be the main source that contributes to the mass
concentration as shown in Fig. 3.
                                                                                concentration of TSP at SMC while it was not merely a
                                                                                source at RFB. The UF was found the highest at CCV
                      20000                                                     while the other 3 sampling sites were found in coarse
                                      R² = 0.6441                               particles. Thus, this study exactly indicates that the
                                                                                atmospheric particle concentration in Phnom Penh city is
 Number of Vehicles
                      15000
                                                                                affected by the air pollutants emitted from traffic along
                                                                                with the road sites.
                                   R² = 0.8276
                      10000                                                         The chemical composition of PM such as
                                                                                carbonaceous, heavy metal, and water-soluble ionic
                       5000 R² = 0.0383             R² = 0.567                  compounds should be analyzed for the future study to
                                                                                determine the emission sources.
                          0
                              0          500          1000          1500
                                                                                Acknowledgement
                                TSP Concentration (μg/m3)                           The authors would like to thank Dr. OR Chanmoly and
                              KISB                     CCV
                                                                                Mr. KAN Rithy for giving us the permission to use the
                              SMC                      RFB
                              Linear (KISB)            Linear (CCV)             Biomass Energy Laboratory for the sample storage and
                              Linear (SMC)             Linear (RFB)             analysis. We also thank the sampling sites’ owners for
                                                                                allowing us do the experiment.
Fig. 3. The relation between Number of Vehicles and TSP
                                                                           49
   The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                      Jointly held with
           th
     The 5 International Symposium on Conservation and Management of Tropical Lakes
                      “Insights and Challenges toward Achieving SDGs”
       1
       Department of Chemical Engineering, Faculty of Engineering, Universitas Gadjah Mada, 55281 Indonesia
                                           *muhammad.azis@ugm.ac.id
Abstract
         Herein, we report the synthesis procedure of promising Ni-CaO/Activated Carbon (AC) catalyst for cooking oil
conversion to green diesel. The Ni-CaO/AC catalyst was synthesized using wetness impregnation method over commercial
AC. The Ni and Ca precursors were 20% of Ni(NO3)·6H2O and 15% Ca(NO3)·4H2O. After impregnation step, the solid
catalyst was calcined in a horizontal tubular furnace under N 2 flow at 700°C. To detect the presence of Ni and Ca, we have
characterized the catalyst with energy dispersive X-ray spectroscopy (EDX). The result showed that the Ni and Ca content
were 64 and 34%, respectively. Surface area of Ni-CaO/AC is 19.129 m2/g. Then, pore volume of Ni-CaO/AC is 5.61 .10-2
cc/g. The catalyst powder was then modified to form a catalyst pellet by mixing it with phenolix resin and plasticizer. Our
result shows that the use of 40 wt% of phenolix resin and 6% of plasticizer could form a stable catalyst pellet. Evaluation of
catalyst performance in decarboxylation reaction was conducted in a batch autoclave with variation in operation temperature
of 300, 330, 350 and 370 °C. The results showed that the largest percentage removal of carboxylic acid was obtained at 350
O
  C with estimated conversion of 96.95%. However, the target product of decarboxylation reaction over Ni-CaO/AC pellet
was still low and hence requires further improvement.
                                                           50
number of acid sites. The number of acid sites of activated    Table 1. Fatty Acid Composition of Cooking Oil
carbon is very high. The amount of acid on the support site
can be calculated by the NH3 adsorbs method. The number        Components                              Values (%)
of acid sites of activated carbon is higher than ZrO2 and H-   Myristic Acid                              2.41
ZSM-5 [2]. The acidity of activated carbon comes from the      Palmitic Acid                             32.74
acidity or functional group of surface oxygen such as          Stearic Acid                               3.41
carboxylates and phenols. A high acid site number is           Oleic Acid                                61.43
preferred in the decarboxylation reaction.
       The incorporation of acid-base metals to give acid-
                                                               2.2. Catalyst Synthesis
base properties can promote a decarboxylation reaction with
                                                                    The catalyst for decarboxylation of Cooking Oil is Ni-
low coke formation. The effectiveness of metal promoters
                                                               CaO/AC catalyst. The catalyst was prepared by wet
can be increased by the addition of different functional
                                                               impregnation method. Two precursor solutions, 20% Ni
groups incorporated with a metal promoter which is
                                                               (NO3)2.6H2O and 15% Ca(NO3)2⋅4H2O were used.
preferably more highly reducible. Metal-supported catalysts
can be made in the hydrogen-free state. The acid-base          Furthermore, two these solutions are impregnated into
property can enhance oxygenate transfer by decarboxylation     activated carbon continuously for 5 hours under vacuum
and decarbonylation reactions. The use of a single active      pressure. Subsequently, the impregnation solution was left
site that is alkaline is not favored by the deoxygenation      overnight, then followed by evaporation, filtering and
reaction because there is a breakdown of carbon-carbon         drying at 105 oC to obtain a dry powder [5]. Later, the
bonds which will reduce the fraction of diesel range           resulting dry impregnation solution is called a Ni-CaO / AC
hydrocarbons [3]. Because of that, Ca metals was used as       catalyst which was calcined at temperature of 700 oC for 4
promotor and give basic properties. CaO facilitates oxygen     hours with N2 gas flowing at atmospheric pressure in a
removal by absorbing more CO2 in gas phase. Transition         tubular furnace [6]. Then, the resulting powder of Ni-
metal oxides (TMOs) is a good promotor in catalyst             CaO/AC was modified to pellets with the aid of 40 wt% of
synthesis, because they can alternate noble metals such as     phenolix resin and 6% of plasticizer.
Pt and Pd in the field of catalytic cracking activity [4].
      The objective of present work is to synthesize Ni-       2.3. Catalyst Characterization
CaO/AC catalyst to convert conventional palm based                  Volume/size analysis of the catalyst was carried out
cooking oil to green diesel. The reaction was conducted in a   with a NOVA 2000e surface area and pore size analyzer
batch reactor and conversion of palmitic and oleic acid will   (Quantachrome Instruments). The samples were degassed at
be evaluated under different operation temperatures.           120 °C with a continuous flow of nitrogen and helium at 10
                                                               psi overnight prior to the analysis. Liquid nitrogen was used
                                                               as an adsorbent during the measurements. The Multi-Point
II. Materials and Methods
                                                               Brunauer−Emmett−Teller (BET) method was used to
2.1. Materials
                                                               determine the surface area and the BarretJoyner-Halenda
      The feedstock of this work, palm oil-Cooking Oil was
                                                               (BJH) method was used as the most common and accurate
obatained from mini market                namely Bimoli.
                                                               method to compute the average pore volume and pore size
Ni(NO3)2·6H2O (>98.0% purity), (Ca(NO3)2·4H2O) with
                                                               of the samples.
99.0% purity were obtained from Merck and N-Hexane (GC
                                                                     Energy dispersive X-ray was carried out to determine
grade) with purity > 98% was used for dilution that
                                                               the presence of metals on the activated carbon that might
obatained from Merck. The N2 gas, with 99.9% purity, was
                                                               contribute to the hydrogenation/deoxygenation catalysis.
supplied by Samator gas industri. Powdered activated
charcoal Darco were purchased from Merck. Deionized
water was prepared in our laboratory. Composition of used      2.4. Experimental set-up
cooking oil available in table 1.                                   The decarboxylation tests were performed in a
                                                               customized autoclave reactor (250 ml) operating in a batch
                                                               mode as displayed in Fig.1. A multi-blade impeller was
                                                               equipped for mixing of liquid reactant and solid catalyst.
                                                               The temperature was measured with a K-type
                                                         51
thermocouple. In a typical batch experiment, 90 g of
cooking oil as a model compound of vegetable oils, and 4.5                          Table 2. Characterisation of Ni-CaO/AC Catalyst
g of catalysts were placed in the reactor. After loading
Cooking Oil and catalyst, the reactor was flushed with                             Parameter                                        Value
nitrogen in order to remove the remaining oxygen. Then,                   Surface Area (m2/g) BET                                   19.129
the reactor was heated to 300OC and maintained for 105                    Pore Volume (cc/g) BJH                                  5.61× 10-2
minutes at that temperature. The stirring speed was
maintained to 100 rpm during reaction. The reactor was               Both Surface area and Pore Volume of Ni-CaO/AC
subsequently cooled down to room temperature. The liquid        catalyst in pellets were relatively small. This is probably
products were collected after filtering solid phase catalyst.   due to the strong influence of phenolix resin and plasticizer
The final products was further analysed using GC–MS. This       which was added to the catalyst.
experiment was repeated for the other temperatures at 330,
350, 370 OC.                                                     Table 3. Elemental Analysis of Ni-CaO/AC Catalyst with
                                                                                            EDX
                                                                   Analyte                         Composition (%)
                                                                   Ni                                   64.314
                                                                   Ca                                   34.783
                                                                   Si                                    0.683
                                                                   K                                     0.195
                                                                   S                                     0.024
and held for 12 min. The sample was diluted by hexane                                          96.00
                                                                  (Degree of decarboxylation
                                                                                               95.00
before injection in GC-MS. For data analysis, percentage
                                                                                               94.00
removal of carboxylic acid can be computed as:                                                 93.00
                                                                                               92.00
                                                                                               91.00
                                                                                               90.00
Where ni is initial peak area of –COOH group in Cooking                                        89.00
Oil, np is peak area of –COOH group in the liquid product.                                     88.00
                                                                                               87.00
                                                                                                       300        330       350          370
III. Results and Discussion                                                                                  Temperature ( ° C)
                                                          52
As seen in Figure 2, it showed that in general the catalyst     palmitic and oleic acid, above 90% area based conversion.
facilitates high conversion of Palmitic and Oleic Acid with     The apparent optimum condition was 350 OC with 96.95%
area based conversion higher than 90%. The percentage           conversion. Inspection on green diesel products from GC-
removal of carboxylic acid was obtained at 350OC with           MS results did not give any significant fraction of C14-C22
conversion of 96.95%. Hence, it can be concluded that the       compounds. This might be due to the reduced surface area
optimum temperature in this experiment was 350 OC.              of the catalyst as a result of binder addition to form pellet.
                                                                Hence, further investigation is still needed to improve the
                                                                selectivity of cooking oil to green diesel.
                                                                Acknowledgement
                                                                    We are thankful to Gadjah Mada University for the
                                                                financial support through research grant of Department of
                                                                Chemical Engineering.
                                                                References
                                                                [1]  S.Ying, P. Lv, C. Zhao, M. Li, L. Yang, Z. Wang, Y.
                                                                     Chen, and S. Liu, “Solvent-free catalytic
                                                                     deoxygenation of oleic acid via nano-Ni/HZSM-5:
                                                                     Effect of reaction medium and coke characterization”,
   Fig.3. Peak Area of GCMS result for Decarbocylation               Fuel Processing Technology. Elsevier, 179(June), pp.
                      Product at 370 OC                              324–333, 2018
       The desired product like pentadecane (green diesel )     [2] N. Hongloi, P. Prapainainar, A. Seubsai, K. Sudsakorn,
was only detected at 370OC with less than 1% w/w as be               and C. Prapainainar, “Nickel catalyst with different
seen in Fig.3. Evaluation of GC-MS products revealed that            supports for green diesel production”, Energy.
the target product of green diesel which lies in the range of        Elsevier Ltd, 182, pp. 306–320, 2019
paraffin C14-C22 was not fully detected. Most of                 [3] G.A.Alsultan, N.A. Mijan, H.V. Lee, U. Rashid, A.
deoygenated product was still carboxylic group, while a              Islam, and Y.H. Taufiq-Yap, “Review on thermal
small compositions were in the form of ketones, alcohols             conversion of plant oil (Edible and inedible) into
and alkanes. The low selectivity to green diesel is probably         green fuel using carbon-based nanocatalyst”, Catalysts,
due to the reduced active surface area and pore volume in            9(4), pp. 1–25, 2019
the presence of phenolic resin and plasticizer.                 [4] N.A. Mijan, H.V. Lee, J.C. Juan, A.R. Noorsaadah,
     Existence of acid sites support oxygen removal via              and Y.H.Taufiq-Yap, “Catalytic deoxygenation of
hydrolysis of carboxylic ester to acid and then dehydration          triglycerides to green diesel over modified CaO-based
pathway. Both oxygen and hydrogen content can be                     catalyst ” , The Royal Society of Chemistry, pp. 46445-
removed in the reaction pathway.. The Ni-CaO/AC pellets              4640, 2017
is also fragile under the environment used in this reaction.    [5] Md. Z. Hossain, M.B.I. Chowdhury, A.K. Jhawar, W.Z.
From literature, the catalytic deoxygenation of triolein to          Xu, “Continuous low pressure decarboxylation of
green diesel over modified CaO-based catalyst powder                 fatty acids to fuel-range hydrocarbons with in situ
showed optimum deoxygenation conditions of 5 wt% of                  hydrogen production”, Fuel. Elsevier, 212 (June 2017),
catalyst, 340OC within 105 minutes. Ni-CaO catalyst can              pp. 470–478, 2017
give a hydrocarbon compound yield (C8-C20) of about 90%         [6] G.A. Alsultan, N.A. Mijan, H.V. Lee, A.S. Albazzaz,
[4].                                                                 and Y.H. Taufiq-Yap, “Deoxygenation of waste
                                                                     cooking to renewable diesel over walnut shell-derived
IV. Conclusion                                                       nanorode activated carbon supported CaO-La2O3
     Decarboxylation of cooking oil over Ni-CaO/AC                   catalyst”, Energy Conversion and Management,
catalyst has been investigated in the present work using             151(May), pp. 311–323, 2017
batch reactor at various temperature of 300, 330, 350 and
370 OC. In general, the catalyst gave high conversion of
                                                          53
       The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                          Jointly held with
               th
         The 5 International Symposium on Conservation and Management of Tropical Lakes
                          “Insights and Challenges toward Achieving SDGs”
    Packing of NiO Nanoparticles into the SBA-15 Support by Ethylene Glycol Assisted
                                   Impregnation Method
Nway Nay Hlaing1,*, Tay Zar Lin2, Aye Mya Thu1, Osamu Nakagoe3, Shuji Tanabe3
               1
                Chemical Engineering Department, Yangon Technological University, Yangon 095-11011, Myanmar
           2
             Mechanical Engineering Department, Technological University (Thanlyin), Thanlyin 095-11291, Myanmar
    3
      Division of Chemistry and Material Science, Graduate School of Engineering, Nagasaki University, 1-14 Bunkyo-machi,
                                                   Nagasaki 852-8521, Japan
                                                  * nwaynayhlaing@ytu.edu.mm
Abstract
    Production of hydrogen from biomass by gasification is a practical way for energy substitution. Tar formation
is a primary problem in the gasification process and catalytic tar steam reforming is an effective process due to
100% tar conversion. Almost all reported tar steam reforming catalysts are prepared by the conventional method
that the active metal’s particle size is usually large. In this work, the catalysts were prepared by the ethylene glycol
(EG) assisted impregnation method. Firstly, large pore SBA-15 materials were synthesized using a P123 surfactant
and Hexane. The structural properties were accessed by N2 physisorption. The material with a BET surface area,
BJH pore volume, and BJH desorption pore size of 666 m2/g, 1.27 m3/g, and 9 nm were obtained at the aging
temperature of 333 K and aging time of 2 days. 10Ni/SBA-15 catalysts were synthesized by EG assisted
impregnation method. The characteristics were analyzed by N2 physisorption, X-ray diffraction, and TEM
observation. The catalyst prepared by 1:10 molar ratio of EG to metal specie showed favorable properties. The
particle sizes of the NiO in the synthesized catalyst were smaller than 5 nm and the particles are highly dispersed
in the mesoporous framework of SBA-15 support. The particle sizes in the conventional catalyst showed greater
than 14 nm. The activity of the catalysts will examine in the catalytic tar reforming.
Keywords: 10Ni/SBA-15 catalysts, ethylene glycol assisted impregnation, NiO nanoparticle, SBA-15 material, tar steam
reforming catalyst
                                                       54
gas stream [3]. The process can operate at a lower                1:0.0168:4.02:0.295:4.42:133 molar composition of
temperature (< 1073 K) by the utility of catalyst and             chemicals (P123:TEOS:C6H14:NH4F:HCl: H2O) was used in
catalytic steam reforming of tar was an effective way to          this synthesis. P123 and NH4F have dissolved in HCl (conc.
carry out the process at low temperature and also improved        35%) solution and stirred at room temperature until the
carbon efficiency by reforming of tar into synthesis gas [4].     solution becomes clear. The solution was then transferred to
Accordingly, the development of tar steam reforming               a water batch, set at 288±1 K, and stirred for 1 h. A mixture
catalyst is an impressive research topic for scientists and       of TEOS and Hexane was added and continued stirring at
researchers.                                                      288±1 K for 24 h. Follow by aging were performed at 333
    Ni-based catalyst is the most promising due to its high       K or 353 K for 2 days or 5 days. The product was collected
catalytic activity and low cost compared to novel metal           by centrifugation and washing with water and dried in an
catalysts [2]. It had already been known that a catalyst with     oven at 343 K overnight. Large pore SBA-15 was obtained
a high surface area could provide the more available active       after calcination in air at 773 K with a heating rate of 1
sites. Therefore, the choice of catalyst support with a high      K/min for 6 h.
surface area is important to disperse active metal species into        The preparation of Ni/SBA-15 catalyst was performed
it. Mesoporous structure SBA-15 material was recognized to        by an EG assisted impregnation technique and the metal
be favorable catalyst support due to their great advantages       loading was set 10 wt %. The molar ratio of metal species to
of large surface area and pore volumes, tunable mesoporous        EG was used 1 or 10. In a typical catalyst preparation, EG
size, and highly ordered mesostructure which allows               and Ni(NO3)2·6H2O were dissolved in ultra-pure and mixed
diffusion and adsorption of large molecules [5, 6]. M. Kruk       with SBA-15 support material. The resultant slurry was pre-
and L. Cao synthesized large pore SBA-15 in the presence          stirred for 2 h or 12 h. The mixture was impregnated at 353
of Hexane and they reported that tailorable pore size was as      K in a water bath with intermittent stirring and kept at this
large as 16.5 nm [7].                                             temperature until all the water was evaporated. The catalyst
    Supported Ni catalysts were commonly prepared by              precursor powder was then dried at 373 K in an oven
impregnation or precipitation method [8, 9]. By using the         overnight and calcined at 723 K for 2 h in a furnace.
conventional techniques, NiO particles were decomposed on
the outer surface of the support, resulting in large particle     2.2. Characterization of Catalyst
size by agglomeration during calcination. Fortunately, it was         The specific surface area, pore diameter and pore volume
reported that the double-solvent approach can deliver metal       of the SBA-15 and 10Ni/SBA-15 catalysts were measured
particles into the channel of the porous support [10-13]. S.      using a Micromeritics Tristar 3000 by N2 adsorption at 77 K.
Qiu et. al. recently reported that EG can assist to pack the      The crystalline structure and crystallite size of the catalysts
metal particles into the porous structure of the SBA-15           were accessed using Miniflex 600, Rigaku with Cu Kα
support [14].                                                     radiation (wavelength = 1.54ºA). TEM images of the
    In this work, firstly, large pore SBA-15 materials were       catalysts were taken by JEOL, JEM-2010.
synthesized by the soft template procedure. Structural
properties of SBA-15 materials were analyzed by N2                III. Results and Discussion
physisorption. 10wt% Ni loaded SBA-15 supported
                                                                      N2 adsorption-desorption isotherms, and BJH desorption
catalysts were synthesized by EG assisted impregnation
                                                                  pore size distributions of the large pore SBA-15 support and
method. NiO particle size and the characteristics of the
                                                                  10Ni/SBA-15 catalysts are shown in Fig. 1 and 2. BET
10Ni/SBA-15 catalysts were accessed by XRD, TEM, and
                                                                  surface area (SBET), BJH pore volume (VP), and pore size
N2 physisorption measurement.
                                                                  (DBJH) are listed in Table 1.
                                                                      The N2 adsorption isotherms of the SBA-15 materials are
II. Materials and Methods                                         typical type IV isotherm with H1 hysteresis loops,
2.1. Synthesis of large pore SBA-15 and 10Ni/SBA-15               representing the characteristic for mesoporous materials
    catalyst                                                      according to IUPAC classification [16]. The isotherms of the
    Large pore mesoporous structure SBA-15 materials were         SBA-15 synthesized at 333 K (SBA-15;333/2D and SBA-
synthesized by following the procedure of Sun et al. [15].        15;333/5D) showed a thinner and narrow hysteresis loop
                                                                  than that of the SBA-15 synthesized at 353 K. Consequently,
                                                            55
                                  1000                                 P o re S ize D is tr b
                                                                                            i u to
                                                                                                 i n (PSD )
                                                                                                                                     SBA -15 ; 353 /2D      Table 1. Characteristic of the SBA-15 materials and
  Am oun tA d so rb ed (cm 3 STD g -1)
                                                              03
                                                               .
                                                   -1
                                                     )                                                                               SBA -15 ; 333 /5D
                                                                                                                                                            10Ni/SBA-15 catalysts
                                         800       PSD (cm 3g -1nm
                                                              02
                                                               .                                                                                                            SBET    VP        VMP       DBJH       DNiO^/*
                                                                                                                                     SBA -15 ; 333 /2D      Material
                                         600                  01
                                                               .
                                                                                                                                                                            m2/g    cm3/g     cm3/g     nm         nm
                                                                                                                                                            S; 353/2D        545     0.935     0.036    3.4/6.7         -
                                                                       0
                                         400                               0      4 8 12 16 20                                                              S; 333/5D        670      1.41     0.053      9.1           -
                                                                               P o re D iam e te r (nm )                                                    S; 333/2D        666      1.27     0.045       9            -
                                         200                                                                                                                                                                         15^ /
                                                                                                                                                            10Ni/S;W         478     0.889      0.028 7.4/3.6
                                                                                                                                                                                                                      20*
                                           0                                                                                                                                                                         3.2^ /
                                               0                               0 .2         0 .4           0 .6     0 .8       1                            10Ni/S;1:1       596     0.885      0.047 5.3/3.6
                                                                                                                                                                                                                       4*
                                                                                R e la tiv e P re ssu re (P /P 0)
                                                                                                                                                                                                                     4.8^ /
                                                                                                                                                            10Ni/S;1:10      629     0.817      0.042    9.1
                                         Fig. 1. Structural properties of the large pore SBA-15.                                                                                                                      4.5*
                                                                                                                                                            S: SBA-15, SBET: BET specific surface area, VP: total pore
                              1000                                         P ore S izeD is tr b
                                                                                              i u t ion (PSD )                                              volume, VMP: micro-pore volume, DBJH: BJH pore diameter
V o lum eA d so rb ed (cm 3 STD g -1)
                                                                   04
                                                                    .                                                              10N iS
                                                                                                                                        / BA -15 W
                                                                                                                                                 ;
                                                                                                                                                            (taken as a maximum point), DNiO^ crystallite size of NiO
                                                      )
                                                                                                                                   10N iS
                                                                                                                                        / BA -15 ; 1 :1
                                                    -1
                                         800                       03
                                                                    .
                                                    P SD (cm 3g -1nm
                                                                   02
                                                                    .
                                                                                                                                   10N iS
                                                                                                                                        / BA -15 ; 1 :10    (calculated from XRD result),DNiO^ average particle size of NiO
                                         600                       01
                                                                    .
                                                                                                                                                            (calculated from 70-100 particles of TEM images)
                                                                       0
                                         400                               0      4    8 12 16 20
                                                                                P oreD iam e te r (nm )                                                        SBET and VP of the SBA-15;333 were higher than SBA-
                                         200
                                                                                                                                                           15;353. Both SBA-15;333 materials exhibited high SBET,
                                                                                                                                                           large VP, and favorable pore diameter. Consideration from
                                           0                                                                                                               the energy usage, SBA-15; 333/2D required shorter aging
                                               0                            02
                                                                             .            04
                                                                                           .             06
                                                                                                          .       08
                                                                                                                   .       1
                                                                                                                                                           time that it was chosen as a support for the synthesizing of
                                                                       R e la tiv e P re ssu re (P /P 0)
                                                                                                                                                           the 10Ni/SBA-15 catalysts.
                                           Fig. 2. Structural properties of the 10Ni/SBA-15
                                                                                                                                                               SBET and VP of the SBA-15 support were lost by Ni
                                                                 catalysts.
                                                                                                                                                           impregnation. SBET lose in 10Ni/SBA-15;W, 10Ni/SBA-15;
                                                                                                                                                           1:1 and 10Ni/SBA-15;1:10 catalysts were 28%, 11% and 6%.
pore size distributions in SBA-15;333/2D and SBA-                                                                                                          In the same way, VP losses were 30%, 30%, and 45%,
15;333/5D catalysts were narrow pore diameter range (6-12                                                                                                  respectively. Among them, 10Ni/SBA-15;1:10 catalysts
nm) and pore diameter at a maximum point were 9 nm and                                                                                                     have the smallest loss in SBET and VP.
9.1 nm, respectively. In contrast, SBA-15;353/2D catalyst                                                                                                      X-ray diffraction patterns and TEM images can be seen
had dual pore size distribution in which the new pore size                                                                                                 in Fig. 3 and 4. The particle size of the NiO (DNiO) of the
region appeared at 3-6 nm. These small pore sizes were                                                                                                     10Ni/SBA-15 catalysts is presented in Table 1.
probably due to the evaporation of hexane during aging at                                                                                                      In 10Ni/SBA-15;W catalyst, the sharp diffraction peaks
353 K.                                                                                                                                                     were identified at 2θ of 37.18, 43.21, and 62.7, attributed to
    The hysteresis loop of the 10Ni/SBA-15;W catalyst (Fig.                                                                                                the crystalline NiO phase. In 10Ni/SBA-15;1:1 and
2) become wider significantly and resulted in dual pore size                                                                                               10Ni/SBA-15;1:10 catalysts, the diffraction peaks of NiO
distribution with 3-5 nm and 5-12 nm by Ni impregnation.                                                                                                   are weak and diffused, associating to small NiO
In the EG assisted 10Ni/SBA-15;1:1 catalyst, the hysteresis                                                                                                nanoparticles with high dispersion. The crystallite sizes of
loop enlarged and the pore size distribution range moved to                                                                                                the NiO were calculated from 2θ of 43.21 degrees and it was
a lower pore size region with a dual pore size distribution                                                                                                14.86 nm in the 10Ni/SBA-15;W catalyst while the
range of 3-4 nm and 4-9 nm. Fortunately, significant                                                                                                       crystallite sizes were smaller than 5 nm in the 10Ni/SBA-
deformation was not observed in the 10Ni/SBA-15;1:10                                                                                                       15;1:1 and10Ni/SBA-15;1:10 catalysts.
catalyst by Ni impregnation. Pore size distribution range                                                                                                      The dispersion of NiO particles in the SBA-15 support
also similar to the pure SBA-15 support. However, the                                                                                                      can be seen in TEM images. In 10Ni/SBA-15;W catalyst
amount of pore volume was less than the pure SBA-15                                                                                                        (Fig. 4 (a)), large NiO particles are deposited on the surface
support, associated with the placement of Ni particles into                                                                                                of the SBA-15 support. In 10Ni/SBA-15;1:1 and 10Ni/SBA-
the porous structure of the SBA-15 support.                                                                                                                15;1:10 catalysts (Fig. 4 (b) and (c)), very small NiO single
                                                                                                                                                     56
                                                         N Oi                         (a )10N iS
                                                                                               / B A -15 W
                                                                                                         ;
                                                                                                                     that NiO nanoparticles are delivered into the porous
                    1000
                                                  N Oi
                                                                     N Oi             (b )10N iS
                                                                                               / B A -15 ;1 1
                                                                                                            :        structure of SBA-15 support in 10Ni/SBA-15;1:10 catalyst.
                         800    (a )                                                  (c )10N iS
                                                                                               / B A -15 ;1 1
                                                                                                            :0       Therefore, 10Ni/SBA-15; 1:10 catalyst will the most
   t ns ity (coun ts )
                                (c )
                         200
                                                                                                                     References
                           0
                               10      20    30      40         50   60     70   80                                  [1]    L. Wanga, L. Wellerb Curtis, D. Jonesb David, A.
                                                  2 The a ( u K )
                                                        t C                                                                 Hannab Milford, Biomass and Bioenergy 2008, 32:
                          Fig. 3. XRD patterns of the 10Ni/SBA-15 catalysts.                                                573-581.
                                                                                                                     [2]    Behdad Moghtaderi, Fuel, 2007, 86: 2422–2430.
                                       (a)                                                                           [3]    D. Li, Y. Nakagawa and K. Tomishige, Chin. J. Catal.,
                                                                                                                            2012, 33: 583–594.
                                                                                                                     [4]    M. Yung Matthew, S. Jablonski Whitney, and A.
                                                                                                                            Magrini-Bair Kimberly, Energy & Fuels, 2009, 23:
                                                                                                                            1874–1887.
                                                                                                                     [5]    E. Ahmadi, N. Dehghannejad, S. Hashemikia,
                                                                                                                            M.Ghasemnejad, and H. Tabebordbar, Drug Deliv,
                               (b)                                                                (c)
                                                                                                                            2014, 21(3): 164–172.
                                                                                                                     [6]    N. Rahmat, A. Z. Abdullah, A.R. Mohamed, Am. J.
                                                                                                                            Applied Sci., 2010, 7(12): 1579-1586.
                                                                                                                     [7]    M. Kruk and L. Cao, Langmuir, 2007, 23, 7247-7254.
                                                                                                                     [8]    M. Campanati, G. Fornasari and A. Vaccari, Catalysis
                                                                                                                            Today, 2003, 77: 299–314.
                                                                                                                     [9]    P. van Beurden, ECN-I--04-003, December 2004.
                                                                                                                     [10]   Q. Zhu and Q. Xu, Chem 1, 2016, 220-245.
                                                                                                                     [11]   Q. Zhu, J. Li, and Q. Xu, J. Am. Chem. Soc., 2013,
                         Fig. 4. TEM images of the catalysts (a) 10Ni/SBA-15;W,
                                                                                                                            135:10210−10213.
                           (b) 10Ni/SBA-15;1:1 and (c) 10Ni/SBA-15;1:10.
                                                                                                                     [12]   A. Aijaz, A. Karkamkar, Y. J. Choi, N. Tsumori, E. R.
                                                                                                                            Nnebro, T. Autrey, H. Shioyama, and Q. Xu, J. Am.
particles are highly dispersed in the mesoporous SBA-15                                                                     Chem. Soc. 2012, 134:13926−13929.
support. 10Ni/SBA-15; 1:10 catalysts showed better                                                                   [13]   Arshad Aijaz and Qiang Xu, J. Phys. Chem. Lett.,
dispersion than 10Ni/SBA-15;1:1 catalyst. According to                                                                      2014, 5: 1400−1411.
TEM results, the particle size of NiO in 10Ni/SBA-15;W                                                               [14]   S. Qiu, Q. Zhang, W. Lv, T. Wang, Q. Zhang and L.
catalyst was 20 nm while that in 10Ni/SBA-15;1:1                                                                            Ma, RSC Adv., 2017, 7: 24551–24560.
and10Ni/SBA-15;1:10 catalysts were 4 and 4.5 nm.                                                                     [15]   M. Kruk and L. Cao, Langmuir, 2007, 23:7247-7254.
                                                                                                                     [16]   K. S. W. SING, Pure & Appl.Chem., 1982, 54: 2201-
IV. Conclusion                                                                                                              22l8.
      Mesoporous SBA-15 material with a narrow pore size
distribution, 6-12 nm, with pore size (at maximum volume
point), 9 nm, was obtained by aging at 333 K and aging time
for 2 days using soft template method. The catalyst with
small NiO nanoparticles (< 5nm) was obtained by
synthesizing EG assisted impregnation method while the
conventional method resulted in large NiO particles (19.9
nm). As determined by N2 physisorption, it can be expected
                                                                                                                57
       The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                          Jointly held with
               th
         The 5 International Symposium on Conservation and Management of Tropical Lakes
                          “Insights and Challenges toward Achieving SDGs”
   1
     Department of Chemical Engineering (Sustainable Mineral Processing Research Group), Universitas Gadjah Mada
                                       Jl. Grafika 2, Yogyakarta 55281, Indonesia
2
  Research Division for Mineral Technology, Indonesian Institute of Sciences (LIPI) Jl. Ir. Sutami Km. 15, Tanjung Bintang,
                                              Lampung Selatan, Indonesia
                                            *E-mail : bayupetrus@ugm.ac.id
Abstract
    Currently, REE is categorized as a critical mineral where there are few underground sediment reserves and occurs in small
concentrations in many locations. The increasing use of REE globally has a vital function in the high technology industry to
produce superior products. Indirectly unwanted by-products are also produced as a waste of spent catalysts. Interestingly,
spent catalysts as secondary resources are mostly done to extract valuable minerals using reagents. This research is the basis
for studying the precipitation of one of the REE minerals (i.e., lanthanum) from spent catalysts using oxalic acid at various
temperatures and pH. Begins with a leaching process of 125 grams of used lanthanum catalyst using 500 mL of 1 M citric
acid, followed by precipitation using 0.5 M oxalic acid by varying the temperature (60; 80; 90) and pH (1.0; 1.5; 2.0). Based
on the analyzed results using the response surface method (RSM), to find the optimal value of several independent variables
that affect a response variable on precipitation characteristics. A second-order polynomial equation was used to correlate
response and independent variables. The coefficient of determination (R²) shows a satisfactory result of 98.86%, and the
standard probability plot ensures the model’s adequacy.
Keywords: lanthanum, oxalic acid, precipitation, REE, RSM (Response Surface Method), spent catalysts
                                                          58
minimize waste of spent catalysts.                                time. The precipitate is then filtered using filter paper and
                                                                  dried in an oven at 900C. After drying, the solids are then
II. Materials and Methods                                         weighed. The filtered liquid (filtrate) was then analyzed
                                                                  using ICP-OES. The weighed solid was analyzed using XRF
2.1. Raw material
                                                                  and XRD. Table 2 is the analysis result using ICP-OES
    The initial raw material for precipitation is a solution of
                                                                  solution of precipitation spent catalyst lanthanum using
leaching spent catalyst lanthanum with citric acid (C₆H₈O₇)
                                                                  oxalic acid.
0.1 M. For the leaching process using a hot plate stirrer
equipped with an Erlenmeyer, magnetic stirrer, thermometer,       Table 2. ICP-OES Result for Lantahnum Precipitation
and laboratory meters for pH. The leaching solution was
heated to a temperature of 90oC and stirred at a speed of 400         Temperature                      Concentrate
rpm for 8 hours in pH 2. Table 1 and Fig. 1 are the analysis                                pH
                                                                         (0C)                            (ppm)
of the leaching solution using XRF and XRD                                                   1            0.071
                                                                            60              1.5           0.222
Table 1. XRF result of spent catalyst                                                        2            0.735
 Constituents            %Mass                                                               1            0.075
 Al                      24.109                                             80              1.5           0.221
 Si                      57.464                                                              2            0.742
 Ni                      8.569                                                               1            0.066
 Fe                      2.351                                              90              1.5           0.236
 Ti                      2.246                                                               2            0.453
 La                      1.912
 P                       1.001                                    2.3. Recovery Analysis of Precipitate
 Ca                      0.625                                        The result of the precipitation process will produce
 Mn                      0.451                                    sediment in the form of wet solids and a filtrate solution. The
 Co                      0.353                                    wet solids are dried and weighed, then analyzed using XRF
 K                       0.22                                     to determine the elemental composition in these solids and
 Zn                      0.151                                    XRD to identify the crystalline phase in the material.
                                                                      In the filtrate solution, using ICP-OES analysis to
                                                                  determine the concentration that is reduced during the
                                                                  precipitation process. Therefore, the recovery calculation
                                                                  must be done using a constant denominator, not the total
                                                                  Mass. It can be seen in the following formula :
                                                                                           𝑀0 − 𝑀𝑙
                                                                                   %𝑅 =                                  (Eq.1)
                                                                                              𝑀0
                                                                  Where % R is the recovery percentage, M0 and Ml are the
                                                                  weight of lanthanum after precipitation and after the
                                                                  leaching process, where the Mass after leaching is 1.0703 in
                                                                  gr.
                                                           59
The design is shown in Table 3 :                                 The estimation results of the model equation coefficient from
Table 3. Experimental range and level of independent             the Minitab 18 output are shown in the following equation:
variables                                                            Precipitation = 0,728      + 0,3418 X1     + 0,00380 X2
                                                                         (gr)             - 0,1067 X12 - 0,000014 X22
                                      Range Level                                         - 0,001493 X1X2
  Independent variables
                                       +1  0   -1
        pH (X1)                        1  1.5   2                 The data satisfactoriness and the model’s fitness were
   Temperature, 0C (X2)               60  80   90                 assessed by regression and analysis of variance (ANOVA).
                                                                  It can be concluded that the second-order model for this case
With the second-order polynomial equation, written as             is the right model. The results can be seen in Table 5. This
following [5] :                                                   can be seen from the P-value for the model is greater than α
                                                                  = 5% while for the second-order model, the P-value is less
             𝑘            𝑘
                                                                  than α. The P-value = 0.001 is smaller than the degree of
   𝑦 = 𝛽0 + ∑ 𝛽𝑖 𝑥𝑖 + ∑ 𝛽𝑖𝑖 𝑥𝑖2 + ∑ ∑ 𝛽𝑖𝑗 𝑥𝑖 𝑥𝑗 + 𝜀   (Eq.2)      significance α = 5%, and this means that the independent
            𝑖=0        𝑖=1
                                                                  variables xi make a significant contribution to the model. As
Where x1 and x2 represent the coded value of the input factor     it can be seen from the table, the P-value for all linear
that determines the response (y). In addition, 𝛽0 , 𝛽𝑖 , 𝛽𝑖𝑖 ,    independent variables were practically smaller than the
and 𝛽𝑖𝑗 represents the regression equation, and the last a        square or 2-way interaction mode.
symbol is ε is the error[6]. The model’s RSM accuracy was
                                                                       Table 5. Analysis of Variance from Minitab 18
analyzed using the coefficient of determination (R2). The
value R2 has ranged from 0 to 1. If R2 is close 1, it shows
that the model is highly accurate[7].                                Source         DF Adj SS Adj MS F-Value P-Value
                                                                     Model           5 0,015191 0,003038  52,05 0,004
III. Results and Discussion                                           Linear         2 0,012352 0,006176 105,82 0,002
                                                                        X1           1 0,011984 0,011984 205,33 0,001
3.1. Analysis of Variance (ANOVA)
                                                                        X2           1 0,000368 0,000368   6,31 0,087
    Based on research conducted using ICP-OES analysis
                                                                      Square         2 0,001437 0,000719  12,31 0,036
and recalculating to get the grams contained in the filtrate
                                                                       X1* X1        1 0,001422 0,001422  24,37 0,016
solution from the precipitated results. The results are in             X2* X2        1 0,000015 0,000015   0,25 0,648
Table 4. It can be seen that at a temperature of 60 oC with a        2-Way           1 0,000520 0,000520   8,91 0,058
pH of 2, the result of lanthanum recovery is 98.78%. This               Interaction
calculation uses the formula previously described and                  X1* X2        1 0,000520 0,000520   8,91 0,058
precipitate which is only produced at a temperature of 60 oC         Error           3 0,000175 0,000058
with a pH of 2.                                                      Total           8 0,015366
  Table 4. The Filtrate Solution from The precipitated            For the model summary, from the result using Minitab 18,
                                                                  R2 square in the precipitation resul 0,98 and the prediction
                                                                  0,84. The results can be seen in Table 6
 Temperature                  Precipitate       La Recovery
                    pH
    (0C)                         (gr)               %                     Table 6. Model Summary Precipitation vs
                     1          1.056              98.67
       60           1.5         1.055              98.60                               pH;Temperature
                     2          1.057              98.78
                     1          1.037              96.89                    S    R-sq R-sq(adj) R-sq(pred)
       80           1.5         1.037              96.90
                                                                   0,0076398 98,86%        96,96%         84,61%
                     2          1.035              96.69
                     1          0.986              92.10
       90           1.5         0.964              90.04
                     2          0.940              87.83
                                                           60
IV. Conclusion
    In this study, from the experimental results it can be
concluded that oxalic acid (C2H2O4) can be used as a
depositing agent for a solution of precipitation spent catalyst
lanthanum and the maximum presentation of lanthanum is
obtained at 60 ° C at pH 2 with a large percentage of
recovery of 98.67%.
Acknowledgement
   The authors are very thankful to the Department of
Chemical Engineering (Sustainable Mineral Processing
Research Group), Universitas Gadjah Mada and Research
Division for Mineral Technology, Indonesian Institute of
Sciences (LIPI) Lampung support.
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        model and its dyeing properties on different
        substrates,” Chem. Eng. Process. - Process Intensif.,
        vol.     114,      pp.     46–54,     2017,     doi:
        10.1016/j.cep.2017.01.008.
                                                            61
       The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                          Jointly held with
               th
         The 5 International Symposium on Conservation and Management of Tropical Lakes
                          “Insights and Challenges toward Achieving SDGs”
   1
       Department of Chemical Engineering (Sustainable Mineral Processing Research Group), Universitas Gadjah Mada
                                       Jl. Grafika 2, Yogyakarta 55281, Indonesia
                                        *E-mail : reny.oktavianti@mail.ugm.ac.id
Abstract
   Geothermal sludge was a waste from Geothermal Power Plant Dieng, produced about 165 tons per month. An alternative
way to reduce waste accumulation is to utilize it for zeolite synthesis. Based on EDX analysis carried of day geothermal
sludge it contains 98% silica. Geothermal sludge has the potential to be processed into zeolite base material which has high
economic value. Zeolite synthesis was carried out by hydrothermal at various operating temperatures 100 0C with a processing
time of 7 hours, and variations molar ratio of Si/Al was 1, 1.5, 2. The characterization of synthetic products was carried out
using XRD. Zeolite X and zeolite A synthesis have the highest crystallinity at ratio Si/Al of 1.5 at 77.62 % and 22.38 %
respectively. Crystallite size of zeolite X molar ratio Si/Al 1, 1.5, and 2 is a 137.120 nm, 122.898 nm, and 146.914 nm
respectively.
                                                           62
2.2. Zeolite Synthesis                                            specific surface area, and morphology. The crystallite was
        Geothermal sludge is cleaned of impurities and then       determined by using X-ray Diffraction (XRD).
 Component                          Element %
                 Before Furnace          After Furnace            III. Results and Discussion
      SiO2             94.727              98.138                 3.1. Characteristics of Geothermal Powder Raw
       SO3              2.648              0.732                       Materials
       K2 O             1.033              0.509
                                                                      The raw material can use in geothermal powder. The
      Fe2O3             0.825              0.416
      CaO               0.601              0.129                  composition of geothermal sludge can be seen in Table 1.
     Sb2O3              0.057              0.025                  Where the silica content is the largest component compared
     As2O3              0.040              0.020                  to other components.
      CuO               0.038              0.009
      MnO               0.001              0.007                   Table 1. Composition Geothermal Sludge
        Br              0.013              0.005
      Rb2O              0.009              0.005
      ZnO               0.007              0.001
    dried using an oven until it forms a powder and sieving            Based on the analysis of the EDX results in Table 1, Si
    into 100 mesh. The geothermal powder is then calcined         (silica) 's elemental content in the geothermal powder before
    by igniting in a furnace at a temperature of 650ºC for 6      calcination was 94.727% and after calcining was 98.138%.
    hours. X-Ray Diffraction analyzed geothermal solid            This shows that after calcined geothermal powder at a
    waste to determine the chemical and its mineralogical.        temperature of 6500C for 6 hours can reduce the metal
    The geothermal powder (50 gram) and mixed with                content in it to increase the percentage of silica element
    NaOH solution 3.5M then heated followed by stirring           content in geothermal powder.
    (300 rpm) at 90˚C for 60 minutes until homogenous was
    obtained.                                                         Table 2. ICP-OES Result for Synthesis Zeolite
       Based on the analysis of the EDX results in Table
                                                                   Component                           Element (ppm)
   1, Si (silica) 's elemental content in the geothermal                          Furnace Method          Leaching Method
                                                                        Si             7,098                  20,371
   powder before calcination was 94.727% and after                      Al              209                     209
                                                                        Na             1,205                   1,602
   calcining was 98.138%. This shows that after
   calcined geothermal powder at a temperature of                      In table 4.2, the results of the ICP (Inductively Coupled
                                                                  Plasma) analysis from silica extraction using the tube
   6500C for 6 hours can reduce the metal content
                                                                  furnace method are shown, the components of silica,
   in it to increase the percentage of silica element             alumina, sodium are 7,098 ppm; 209 ppm; 1,205 ppm and
                                                                  the leaching method each obtained 20,371 ppm; 209 ppm;
   content in geothermal powder.
                                                                  1,602 ppm. Of the two approaches, the most extensive silica
   Table 2 is the analysis result using ICP solution of           extract is the leaching method. This is because the silica
extraction silica.                                                leaching method has high solubility. Compared to using the
    The zeolite formation is carried out by adding Al powder      tube furnace method, the solubility of silica is lower because
(in grams) to the sodium silicate solution with the calculated    it is carried out in the solid-solid phase with the addition of
Si/Al ratio (1; 1.5; 2). The solution was put into an autoclave   NaOH as a solvent.
reactor and heated at 100 °C for 7 hours. The hydrothermal             Any factor that increases diffusivity and solubility in the
output of the zeolite was then washed by using                    above steps will facilitate extraction. Extraction of silica
demineralized water.                                              from geothermal powders yields a percent yield of 90-95%
                                                                  [17]. And taking silica from geothermal powders using the
2.3. Catalyst characterization                                    tube furnace method yields a percent yield of 70-75%. The
    The catalysts were analyzed in term of crystallinity,         percent yield also strengthens that the leaching method of
                                                            63
silica removal results in a relatively large silica solubility                Nap (AlO2) p (SiO2) p. h H2O (gel)
compared to the tube furnace method.
                                                                      The final stage of the hydrothermal sol-gel method is
                                                                   drying (drying) to remove unwanted water and liquid in
                                                                   zeolite X, to expand zeolite X's surface.
                                                            64
zeolite with other ratios of 77.62%. In general, the               With the most extensive zeolite synthesis X and zeolite A
percentage of zeolite X purity decreases with increasing           composition, the Si/Al molar ratio of 1.5 reached 77.62%
Si/Al ratio. This is due to the decreasing number of zeolite       and 22.38%. Zeolite crystal size X Si/Al molar ratio 1; 1.5
X peaks formed. However, at a ratio of 1.5, the highest            and 2 are 137.120 nm; 122.495 nm and 146.914 nm.
percentage of zeolite X is found at a ratio of 1.5.
                                                                   Acknowledgement
Table 4. Distance between Crystal
                                                                      Zeolit         Distance between Crystal (Å)
    Table 4. shows that the distance between crystal planes            Si/Al 1                    3.984
from the smallest is zeolite X ratio 1.5 < zeolite X ratio 2 <        Si/Al 1.5                   3.165
zeolite X ratio 1. The smaller the distance between the                Si/Al 2                    4.848
crystal planes, the denser and more stable the crystal                The authors are very thankful to the Department of
structure is. This causes the crystal structure formed to have     Chemical Engineering (Sustainable Mineral Processing
high crystallinity. The highest crystallinity is zeolite X at a    Research Group), Universitas Gadjah Mada.
ratio of 1.5.
                                                                   References
Table 5. Size of Synthesized Zeolite X Crystals
                                                                   [1] Saptadji, N.M. (2009). “Teknik Panas Bumi”.
       Zeolit                Crystal Size (nm)                         Departemen Teknik Perminyakan Fakultas Ilmu
      Si/Al 1                    137.120
                                                                       Kebumian dan Teknologi Mineral Institut Teknologi
     Si/Al 1.5                   122.495
                                                                       Bandung, Bandung.
      Si/Al 2                    146.914
                                                                   [2] Suprapto, S. J. (2009). “Panas Bumi Sebagai Sumber
    The XRD analysis data can also be used to determine the            Energi dan Penghasil Emas”. Warta Geologi Volume 4
crystal size. The crystal size of synthetic zeolite X based on         No. 2, Bandung.
calculations using the Debye Scherrer equation is presented        [3] Syakur, A., Tumiran, Berahim, H., Rochmadi, 2011,
in Table 5. Based on these results, it is known that the crystal       “Pengujian Karakteristik Limbah Pasir PLTP Dieng
size of synthetic zeolite X is in the range of 100-200 nm.             Sebagai Bahan Pengisi Isolator Resin Epoksi Silane”,
    The distance between particles in zeolite crystals is              Jurnal Rekayasa Elektrika Vol. 9, No. 4..
directly proportional to the crystal size [6]. The small crystal   [4] Payra, Pramatha and Dutta, Prabir K. (2003). "Handbook
size causes the distance between the particles to be short so          of Zeolite Science and Technology". The Ohio State
that the crystal structure formed becomes even tighter and             University Columbus.
more regular. The denser and more stable crystal structure         [5] Hamdan, H., 1992, Introduction to Zeolites: Synthesis,
causes the degree of crystallinity to be high, therefore               characterization,  and     modifications,     University
according to the XRD results from the highest crystallinity            Teknologi Malaysia, Kuala Lumpur.
of zeolite X, it is at a ratio of 1.5 the smallest crystal size    [6] Ramirez, M., Garcia, T., Camacho, R., Badillo, L.,
compared to zeolite X ratios 1 and 2, which is 122.495 nm.             Mojica, M., Gomez, M. (2020). Simple Synthesis of
                                                                       Hierarchically Structured X Zeolit from Geothermal
IV. Conclusion                                                         Nanosilika and Its Evaluation in the Dehydration of
                                                                       Aqueous Solutions of Ethanol.
    Synthesis of zeolite X and A using the hydrothermal            [7] Nikmah, R. A. Syukuri., Widiastuti, N., dan Fansuri, H.
autoclave method produces crystalline zeolites, and the oven           2008. Pengaruh Waktu dan Perbandingan Si/Al Terhadap
hydrothermal method has amorphous zeolites. According to               Pembentukan Zeolit A dari Abu Dasar Bebas Karbon dari
the XRD analysis shown. Geothermal waste can be used as                PLTU PT. IPMOMI dengan Metode Hidrotermal.
a raw material for making zeolite to increase the economic             Journal of Indonesia Zeolites. Vol. 7 No. 1. Mei 2008
value of the waste.                                                    ISSN: 1411-6723.
    Analysis using XRD shows that at each molar ratio Si /
Al 1; 1.5 and 2 produce a mixture of zeolites X and A. The
difference in Si/Al ratio affects the crystal structure formed.
                                                             65
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                         Jointly held with
      The 5th International Symposium on Conservation and Management of Tropical Lakes
                         “Insights and Challenges toward Achieving SDGs”
       Pothiphimean Chhheang 1, Chinda Haing 1, Chanreaksmey Taing 1,2,*, Rithy Kan 3, Chanmoly Or 3,
                                   Mitsuhiko Hata 4, Masami Furuuchi 4
                    1
                        Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                             Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                          2
                            Research Unit Water and Environment, Institute of Technology of Cambodia
                             Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                             3
                               Research and Innovation Center, Institute of Technology of Cambodia,
                              Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                         4
                           Graduate School of Natural Science and Technology, Kanazawa University,
                                     Kakuma-machi, Kanazawa, Ishikawa, 920-1192, Japan
                                                     * tsmey16@gmail.com
Abstract
Cambodian has many public holidays and special events. Annual movement of population in urban area during holidays
affects the ambient air quality in Phnom Penh. Due to these reasons, the aim of this study is to determine the particulate
matter (PM) concentrations during four special events, including Pchum Ben's Day, Water Festival, Year-end event,
and Chinese New Year's Day and the influence of each event on the ambient air quality in Phnom Penh. The sampling
point was conducted at the rooftop of Institute of Technology of Cambodia, building H (10 meter above the ground),
three times a month and during studying occasions. The PM and Total Suspended Particles (TSP) mass concentrations
were measured by gravimetric method, whilst Carbonaceous Aerosol (CA) were measured by IMPROVE-TOR protocol.
According to the results, PM and TSP was generally higher during short-term events like year-end compared to long
events like Chinese New Year. The average mass concentration of total carbon (TC) accounted for about 20% of TSP
atmosphere during all the events. Meanwhile, PM concentrations were all lower than the WHO Air Quality Guideline
(PM2.5: 25 µg/m3 PM10: 50 µg/m3 ) during all the events, except on the year-end celebration with the concentration of
55.694 µg/m3 for PM10 and 37.282 µg/m3 for PM2.5 . According to the result, the ambient air quality in Phnom Penh was
mainly polluted on year-end, moderately effect on the Pchum Ben's Day and Water Festival. Surprisingly, the ambient
air has not been severely polluted during Chinese New Year's Day as expected.
Keywords: Anthropogenic sources, carbonaceous aerosols, particulate matter, public holidays, total suspended particles.
                                                         66
Penh. The level of pollution from vehicles may vary from        24 hours a day and only one sample was collected. At the
day by day, especially during special events and national       same time, the sampling was conducted periodically 3 times
holidays. Interestingly, during the holidays and religious-     a month or every ten days and were used as control.
related event, the human activities and population flow in
and out of the city fluctuate. On some occasions, people        2.3. Analytical methods
leave the city and go back to their homeland, while people
from other provinces come to visit Phnom Penh during the        TSP and PM mass concentration
events. For instance, during Water Festival, people from        The mass concentration of Total Suspended Particle and
other provinces come to celebrate this event in Phnom Penh.     Particulate Matter in samples were determined by the
Meanwhile, during Pchum Ben's day, people left the city and     following formula.
back to their hometown. It is interesting to discover the
pollution level during these events on ambient air quality in                              (*+ , *-)
                                                                            𝑇𝑆𝑃 𝑜𝑟 𝑃𝑀 =       /0
                                                                                                       × 104       (Eq. 1)
Phnom Penh. Therefore, the objective of this study was to
evaluate the impact of the events on the ambient air quality    The TSP and PM were expressed as µg/m3 where; Mf was
by determining PM, TSP, and CA concentration on the             the final mass of filter and Mi was the blank filter mass (mg),
before, during and after the event in comparison to monthly     and VT was the sampling volume (m3).
concentration.
                                                                Carbonaceous aerosol mass concentration
II. Materials and Methods
                                                                The carbonaceous aerosol (CA) in the collected samples
2.1. Sampling sites                                             were determined via the protocol of IMPROVE TOR [4], [5]
    The sampling point was located at the rooftop of building   by using Carbon Thermo-Optical Analyzer. Firstly, the filter
H of Institute of Technology of Cambodia, which is situated     is cut into 0.5cm2 circular segment. Then this segment is
on the Russian Confederation Boulevard, Phnom Penh,             insert into a heating zone where temperature is continuously
Cambodia. The equipment was set at the geographical             increased in stepwise under two conditions, non-oxidizing
longitude of 104°53’48.19’’ and latitude of 11°34’14.18’’.      (100% helium) and oxidizing (98%, 2% of helium and
The sampling point is approximately 10 meters above the         oxygen, respectively). During this heating stage, the
ground level. There is no big building around to block the      carbonaceous aerosols on the sample is volatized, pyrolyzed,
air circulation and it is surrounded by resident building,      and combusted into gas-phase compounds which is oxidized
laboratories, and canteen. The high-volume air sampler          into CO2 as they pass through an oxidizer (MnO2) at and
(SHIBATA HV-500F) was used to collect the TSP. The              reduced to CH4 as they pass through nickel catalyst at
sampler was operated at the constant flow rate of 500 L/min.    approximately The CH4 concentration is then determined by
Meanwhile for PM, Nano sampler designed by [3] was used         a flame-ionization detector (FID).
with the constant flow rate of 40L/min.
                                                                For 100% helium condition, the temperature is 120°C
2.2. Sampling period                                            (OC1), 250°C (OC2), 450°C (OC3), and 550°C (OC4). As
   The Table 2.1. represented the summary of sampling           temperature increases to the next level, the response from
periods during the events. The sampling was conducted for.      FID might return to baseline or remain constant for 30 sec.
                                                                The residence time is varied according to the sample loads,
        Table 1. Summary of sampling periods                    the longer time it takes for more heavily loaded samples. As
                                                                for 98% helium and 2% oxygen condition, temperature
      Events/holidays            Start date     Stop date
                                                                plateaus are 550°C (EC1), 700°C (EC2), and 800°C (EC3).
 Pchum Ben (PB)                   07/10/18       11/10/18       OC, EC, and TC are determined from eight carbon fractions
                                                                as describe below [6]:
 Water Festival (WF)              20/11/18       24/11/18
                                                                OC = OC1 + OC2 + OC3 + OC4 + OP                        (Eq. 2)
 Year-end (YE)                    30/12/18       01/01/19
                                                                EC = EC1 + EC2 + EC3 - OP                              (Eq. 3)
 Chinese New Year (CNY)           03/02/19       08/02/19       TC = OC + EC                                           (Eq. 4)
                                                          67
                              Table 2. Summary of TSP and Carbonaceous mass concentration
                                                          68
    The Table 3 described the PM mass concentration in           [1]    J. Cramer, “Population growth and local air
comparison to WHO standard. Both PM¬10 (55.7±5.8                        pollution: methods, models, and results,” Popul. Dev.
µg/m3) and PM2.5 (37.3±5.6 µg/m3) concentration on YE                   Rev., vol. 28, pp. 22–52, 2002.
                                                                 [2]    P. Ung and S. Sroy, “Effect of traffic and
exceeded the WHO standard, 50 µg/m3 for PM10 and 25
                                                                        construction on air quality of Phnom Penh City,
µg/m3 for PM2.5. As for PB and WF, the PM10 was still in                Cambodia,” no. September, pp. 0–2, 2016.
allowance range, while PM2.5 was over the standard.              [3]    M. Furuuchi et al., “Development and performance
Surprisingly, both PM10 and PM2.5 were under the standard               evaluation of air sampler with inertial filter for
on CNY. According to the comparison between the mean                    nanoparticle sampling,” Aerosol Air Qual. Res., vol.
concentration of individual event with the standard by one              10, no. 2, pp. 185–192, 2010.
sample t-test using SPSS program, all the mean                   [4]    J. C. Chow, J. G. Watson, L. W. A. Chen, W. P.
                                                                        Arnott, H. Moosmüller, and K. Fung, “Equivalence
concentrations were not statistically significant from the
                                                                        of elemental carbon by thermal/optical reflectance
standard, except the PM10 on PB and CNY. This result                    and transmittance with different temperature
indicated that YE was the most polluted event among all the             protocols,” Environ. Sci. Technol., vol. 38, no. 16,
studying events, following by WF, PB and CNY.                           pp. 4414–4422, 2004.
                                                                 [5]    J. G. Watson, J. C. Chow, and L.-W. A. Chen,
Table 3. Comparison of PM mass concentration to WHO                     Summary of Organic and Elemental Carbon/Black
Standard                                                                Carbon Analysis Methods and Intercomparisons,
                                                                        vol. 5, no. 1. 2005.
 Event                      PM10                PM2.5            [6]    J. C. Chow et al., “The IMPROVE_A temperature
                                                                        protocol for thermal/optical carbon analysis:
 PB                     24.74±9.06           17.29±6.90                 Maintaining consistency with a long-term database,”
 WF                     41.51±11.94          26.46±5.91                 J. Air Waste Manag. Assoc., vol. 57, no. 9, pp. 1014–
                                                                        1023, 2007.
 YE                     55.44±6.83           37.12±6.77          [7]    Sub-Decree No 42, 2000. “ANUKRET on The
                                                                        Control of Air Pollution and Noise Disturbance.
 CNY                    35.21±9.86           18.32±2.97
                                                                        https://static1.squarespace.com/static/593a250a15d
 Standard               50.00 ±0.00          25.00±0.00                 5dbd460e153ad/t/59784a59bf629a80c566ddce/150
                                                                        1055578125/The+Control+of+Air+Pollution+and+
                                                                        Noise+Disturbances+%282000%29.pdf Accessed
IV. Conclusion                                                          on on 15 November 2020.
The TSP, PM and carbonaceous aerosol mass concentrations         [8]    W. Phairuang, M. Inerb, M. Furuuchi, M. Hata, S.
                                                                        Tekasakul, and P. Tekasakul, “Size-fractionated
on PB, WF, YE and CNY were studied. For further studies,
                                                                        carbonaceous aerosols down to PM0.1 in southern
it is important to focus on temporal trends of PM, TSP and              Thailand: Local and long-range transport effects,”
carbonaceous aerosol during Water Festival and year-end. In             Environ. Pollut., vol. 260, p. 114031, 2020.
these two events, there is firework burning which is known       [9]    J. J. Schauer, M. J. Kleeman, G. R. Cass, and B. R.
to temporarily degrade air quality as it emits a large amount           T. Simoneit, “Measurement of emissions from air
of air pollutants. In addition, it is also essential to extend          pollution sources. 5. C1 - C32 organic compounds
sampling periods on pre-event and post-event. The evidence              from gasoline-powered motor vehicles,” Environ.
                                                                        Sci. Technol., vol. 36, no. 6, pp. 1169–1180, 2002.
from this study is not strong enough to evaluate the effect of
                                                                 [10]   EANET, “MYANMAR: Policies and Practices
holidays and events on ambient air quality in PP by                     Concerning Acid Deposition,” no. 2, pp. 40–43,
collecting the samples a day before and a day after event.              2019.
Moreover, gases pollutants like NOx, O3 and other heavy          [11]   R. Zhang et al., “Characterization of atmospheric
metals determination should be considered.                              organic and elemental carbon of PM2.5 in a typical
                                                                        semi-arid area of northeastern China,” Aerosol Air
                                                                        Qual. Res., vol. 12, no. 5, pp. 792–802, 2012.
Acknowledgement
                                                                 [12]   S. F. Kong et al., “The impacts of firework burning
This work was supported by the Atmospheric Environment                  at the Chinese Spring Festival on air quality:
and Air Pollution Control at Kanazawa University.                       Insights of tracers, source evolution and aging
                                                                        processes,” Atmos. Chem. Phys., vol. 15, no. 4, pp.
References                                                              2167–2184, 2015.
                                                           69
      The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                         Jointly held with
              th
        The 5 International Symposium on Conservation and Management of Tropical Lakes
                         “Insights and Challenges toward Achieving SDGs”
Identification and Quantitative Analysis of Alternative Diesel from Waste Plastic Pyrolysis
      Zin Thu Aung 1, Chinda Charoenphonphanich1*, Hidenori Kosaka 2, Pop-Paul Ewphun2, Prathan Srichai3
 1
     School of Engineering,Department of Mechanical Engineering, King Mongkut’s of Institute of Technology Ladkrabang,
                                   Soi chalongkrung1, Ladkrabang, Bangkok 10520 Thailand
            2
              School of Engineering, Department of System and Control Engineering, Tokyo Institute of Technology,
                  Ishikawadai 6th Building, Room 323-2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8552, Japan
           Department of Mechanical Engineering, Princess of Naradhiwas University, Naradhiwas 96000 Thailand
                                                  *kmitl.chinda@gmail.com
Abstract
    Plastics are an essential part of the human life and the global economy. However, the use of plastics has
been associated with significant environmental problems due to their accumulation in landfills, as plastic
waste does not degrade or degrades at very low pace. Nowadays, fast pyrolysis of waste plastic into valuable
fuels is main platform method in minimizing not only the waste disposal but also could be used as an
alternative fuel for internal combustion engines. The purpose of this study was to identi fy, quantify and
compare the composition of waste plastic diesel (WPD) with the commercial diesel (CD) of Thailand.
Simulated distillation (GC-FID) and n-d-M method were used to find the composition of both fuels. Results
indicated that the content of naphtha, kerosene, diesel, and long residue were determined quantitatively and
also identified the paraffin, naphthenes, and aromatic contents for both fuels. Naphtha and heavy oil contents
of WPD were 9.2 and 8.9wt% higher than that of CD but kerosene and diesel contents were 0.7and 17.4wt%
less than that of commercial diesel. After that, paraffin, naphthenes and aromatic contents of WPD from PNA
analysis were 80.42, 14.54 and 5.04wt% and these hydrocarbon contents of CD were 60.61, 25.91 and
13.48wt% respectively. By knowing them, the appropriate method can be determined for fuel upgrading and
interpret correctly of combustion and emissions results.
Keywords: Fast pyrolysis, Simulated distillation, n-d-M method, Waste plastic diesel, Commercial diesel
I. Introduction                                                For instance, a PVC bottle in PET recycle can ruin the entire
                                                               batch by becoming yellowish and brittle [3]. Unlike
   Plastic have essential materials due to their numerous      recycling, pyrolysis does not require a keen sorting of
applications in normal life. Consequently, a huge number of    different plastics. Therefore, fast pyrolysis of waste plastic
plastic products accumulate as waste in the environment.       into valuable fuels is main platform method in minimizing
Plastic waste is a big issue in Thailand, because the amount   not only the waste disposal but also could be used as an
of recycled plastic remains low due to recycling problems      alternative fuel for internal combustion engines.
[1]. One of the recycling problems is economy as they need         Previous studies found that individual type of waste
to be collected separately or sorted before the process can    plastics or mixed waste plastic, which were used to produce
begin [2]. Most plastics are not compatible with each other    alternative fuel, identify the chemical compounds and
and hence cannot be processed together during recycling.       carbon number, and investigate on physical properties
                                                         70
[4][5][6]. There are no or few studies to quantity the boiling    the relationship between the elution weight (%) and boiling
fractions and hydrocarbon type of waste plastic fuel.             point, that is, to create the distillation curve of fuel samples.
    Therefore, the purpose of this study is to identify and
quantify the composition of waste plastic diesel (WPD)            Table 2. Experimental conditions for ASTM D2887
from real mixed waste plastic pyrolysis, and compare with           Column                      DB-10,10mx0.53mm,2.65µm
commercial diesel (CD).                                             Column temperature          40℃ to 350℃
                                                                    Carrier gas flow rate       13.989 L/min (helium)
II. Materials and Methods                                           Injection temperature       350℃
                                                                    FID temperature             375℃
2.1. Materials                                                      Gas flow rate
   The waste plastic diesel utilized in this study were derived     Nitrogen (makeup)           45 mL/min
from catalytic fast pyrolysis of real mixed waste plastic           Hydrogen                    40 mL/min
                                                                    Air flow                    450 mL/min
(mostly PVC) and commercial diesel (B10) were purchased
                                                                    Injection volume            0.1 µL
from PTT fuel station in Thailand. Table 1 shows the
comparison of physical properties of WPD and CD.                  2.3. n-d-M Method (PNA composition Analysis)
                                                                      This method requires three physical properties of
 Table 1. Physical properties of fuels                            refractive index(n20), density(d20), and molecular weight(M).
  Property             ASTM            CD            WPD          For this reason, the method is called n-d-M method. The
                       Method
                                                                  method is included in the ASTM manual under ASTM
                                                                  D3238. It calculates the distribution of carbon in
  Density@15℃            D4052          824          805
  (kg/m3)                                                         paraffins(%Cp), naphthenes(%CN), and aromatics(%CA)
  Viscosity@40℃           D445          3.24          2.9         using equation 1 to 5. The refractive index and density at
  (Cst)                                                           20℃ and molecular weight are used as input data, which are
  Cetane Index            D976         56.43        67.93         estimated from correlations that are adopted in API-TDB [7].
  Energy Content          D240         45.86        46.29
  (MJ/kg)
                                                                      𝑣 = 2.51(𝑛 − 1.475) − (𝑑 − 0.851)                  (Eq.1)
  Sulfur Content         D5453         0.003        0.014
  (wt.%)                                                              𝑎 = 430 𝑖𝑓 𝑣 > 0 𝑎𝑛𝑑 670 𝑖𝑓 𝑣 < 0
                                                                   %𝐶𝐴 = 𝑎𝑣 + 3660/𝑀                                     (Eq.2)
2.2. Simulated Distillation Method
   The identification and quantitative analysis of WPD and          𝑤 = (𝑑 − 0.851) − 1.11(𝑛 − 1.475)                    (Eq.3)
CD were done by simulated distillation (ASTM D2887).                                     10600                           (Eq.4)
Simulated distillation is a Gas Chromatographic technique          %𝐶𝑅 = 1440𝑤 − 3%𝑆 +         𝑖𝑓 𝑤 < 0
                                                                                           𝑀
for determining the boiling point distribution of fuels by         %𝐶𝑅 = %𝐶𝑁 + %𝐶𝐴                                       (Eq.5)
Flame Ionization Detection (GC-FID). Two standard                  %𝐶𝑃 = 100 − %𝐶𝑅                                       (Eq.6)
solutions were used for quantification of waste plastic diesel
and commercial diesel: normal alkanes ranging n-C5 to n-C10       III. Results and Discussion
and n-C10 to n-C40. Table 2 shows the testing condition of        ` The simulated distillation curve represents the boiling
GC-FID. In simulated distillation method, the analyte             points of compounds in a fuel mixture at atmospheric
retention times are directly related to the boiling points of     pressure. Simulated distillation curve is presented in term of
the various hydrocarbons. A calibration curve is generated        boiling point versus wt% of mixture vaporized because
from standard solution, where the retention time of each n-       composition is measured in terms of wt% or weight fractions
alkane is plotted against its boiling point. And calculating      in gas chromatography. And simulated distillation curve is
the area of each time interval which is divided by total area     very close to actual or true boiling point curve. The
allows the proportion of elution weight (%) in each time          distillation curve obtained applying the ASTM D2887
interval. The elution weight (%) in each boiling point range      method allow the quantification of fuel composition such as
can be determine from calibration curve and used to obtain
                                                            71
naphtha, kerosene, diesel and heavy oil as shown in Fig. 1.                                            although it contains almost 60% of lighter compounds. And
And the composition of CD and WPD are listed in Table 2.                                               paraffin and aromatic ratio of WPD is higher than that CD
                                100                                                                    as shown in Table 4.
                                                                      Heavy Oil
 Weight percent vaporized (%)
                                90                                                                                        500
                                80
                                                                                                                          450             421℃
                                70
                                                                                                                          400
                                                                                                        Temperature (℃)
                                60
                                                                                                                          350
                                50                           Diesel
                                                                                                                          300
                                40
                                30                                                                                        250
                                20               Kerosene                                                                 200
                                10                                                                                        150
                                        Naphtha                                                                                               CD
                                 0                                                                                        100                                                  94%
                                      100      150    200     250     300      350   400    450                                               WPD
Table 2. Fuel compositions of WPD and CD                                                                     Fig. 2. Comparison distillation curves of CD and WPD
     Composition                                       Cut point            CD       WPD               Table 3. Boiling points of WPD and CD
                                                        range               wt.%     wt.%
                                                                                                             Distillation                  ASTM                CD          WPD
     Naphtha                                           IBP-200℃              9.6     18.8                      Wt.%                                            (℃)         (℃)
     Kerosene                                          200-250℃             15.4     14.7
     Diesel                                            250-370℃             65.2     47.8
     Heavy Oil                                         370-FBP               9.8     18.7               IBP:0.5%                                               126             100
                                                                                                        10%                                                    201             172
It can be seen that naphtha and heavy oil contents of                                                   30%                                                    260             236
WPD were 9.2 and 8.9 wt% higher than those of CD                                                        50%                                   2887             298             289
but kerosene and diesel contents were 0.7and 17.4 wt                                                    70%                                                    331             342
% less than those of commercial diesel.                                                                 90%                                                    370             402
     A comparison of the distillation curve between CD and                                              95%                                                    389             426
WPD is shown in Fig. 2 and distillation temperature of WPD                                              FBP:99.5%                                              421             474
and CD are provided in Table 3. In Fig. 2, initial boiling
range of WPD is almost 60% lower and final boiling range                                                   For low temperature combustion of modern diesel
is almost 40% higher than those of CD. Therefore, the WPD                                              engine, desirable fuel characteristics are low aromatic and
can be called as wide distillation fuel (WDF) because it is                                            high cetane index (high normal paraffin) but high cetane
included lighter and heavier compounds than those of CD.                                               index and end boiling point can lead to high smoke for hot
In fact, the lighter and heavier compounds can be removed                                              temperature combustion of normal diesel. Table 5 can be
to match the initial boiling point and final boiling point of                                          shown that all detected carbon number concentration of
WPD and CD fuels by distillation. Nowadays, gasoline-                                                  WPD are greater than that of CD. That’s why WPD have
diesel blended or wide distillation fuels have potential to                                            high cetane index and paraffin contents. The C28-C40 are not
reduce soot emission and to increase thermal efficiency but                                            detected for both fuels but three peaks are detected between
HC emission of these fuels are slightly higher than that of                                            C24 and C28 in WPD. Therefore, end fractions 6% of WPD
diesel because of low cetane number [8]. Interestingly,                                                should be removed to achieve the same end point as shown
cetane index of WPD is much higher than that of CD,                                                    in Fig. 2 and Table 5.
                                                                                                  72
Table 4. PNA concentration of fuels                            detected for both fuels but three peaks are detected between
 Carbon Content                       CD        WPD            C24 and C28 in WPD. Therefore, end fractions 6% of WPD
                                                               should be removed to achieve the same end point
 Paraffin (%Cp)                   60.61         80.41
 Naphthenes (%CN)                 25.91         14.54
 Aromatic (%CA)                   13.48          5.05
                                                               Acknowledgement
                                                               This work was supported by ASEAN University
Table 5. Constituents(area%) identified by GC-FID
                                                               Network/Southeast       Asia      Engineering  Education
 Carbon Content             CD                WPD              Development Network (AUN/SEED-Net). The authors
 C6                      2.1457             3.38784            would like to thank Asso Prf: Dr Kanit Wattanavichien,
 C7                    Not detected         1.71151            Center of Fuel and Energy from Biomass (Chulalongkorn
 C8                    Not detected         2.35746            University) for his contribution in this work.
 C10                   Not detected         1.41769
 C11                    1.38791             3.71853            References
 C14                    2.84199             4.32735
 C15                     1.7203             4.77871            [1] W Khatha., S Ekarong., M Somkiat., S Jiraphon.,2020.
 C16                    1.07963             5.20978                Fuel properties, performance and emission of
 C17                    2.42153             5.19759                alternative fuel from pyrolysis of waste plastics. IOP
 C18                    3.68398             6.00175                Conf. Series: Materials Science and Engineering 717.
 C20                    3.59628             5.52902            [2] Fazal Mabood., M.R.Jan Jasmin Shah., Farah Jabeen.,
 C24                    1.47851             3.10487                2012. Catalytic pyrolysis of waste plastic and tyres.
 -                     Not detected         2.52215                LAP LAMBERT academic publishing, U.S.A.
 -                     Not detected         2.06772            [3] Anandhu, V., Jilse, S., 2018. Pyrolysis process to
 -                     Not detected         1.61383                produce fuel from different types of plastic- a review.
 C28                   Not detected        Not detected            IOP Conf. Series: Materials Science and Engineering
 C32                   Not detected        Not detected            396.
 C36                   Not detected        Not detected        [4] Brajendra, K.S., Bryan, R.M., Karl, E.V., Kenneth,
 C40                   Not detected        Not detected            M.D., Nandakishore, R., 2014. Production,
                                                                   characterization and fuel properties of alternative diesel
IV. Conclusion                                                     fuel from pyrolysis of waste plastic grocery bags. Fuel
    In this work, the composition of WPD are identified and        processing technology 122, 79-90.
quantified using simulated distillation and n-d-M methods.     [5] A.M. Motawie., Hala. B.I., Hasabo, M.A., Sahar, M.A.,
Some conclusions can be drawn as follows.                          R.M, Abualsoud., 2016. Fractional distillation of fuel
1. Naphtha and heavy oil contents of WPD were 9.2 a                from mixed plastic waste. Conference paper.
nd 8.9wt% higher than those of CD but kerosene and             [6] Z.T, Aung., C, Charoenphonphanich., H, Kosaka., P,
 diesel contents were 0.7and 17.4wt% less than those               Ewphum., P, Srichai., 2019. Investigation on physical
of commercial diesel.                                              properties and measurement of bulk modulus of waste
2. Initial boiling range of WPD is almost 60% lower and            plastic    diesel.    The      10th     AUN/SEED-NET
final boiling range is almost 40% higher than those of CD.         RCMEManuE,129-132.
Therefore, the WPD can be called as wide distillation fuel     [7] M.R, Riazi., 2005. Characterization and properties of
(WDF) because it is included lighter and heavier compounds         petroleum fractions. 1st ed. ASTM, U.S.A.
than those of CD.                                              [8] J, Wang., Z, Wang., H, Liu., 2015. Combustion and
3 All detected carbon number concentration of WPD are              emission characteristics of direct injection compression
greater than that of CD. That’s why WPD have high cetane           ignition engine fueled with full distillation fuel. Journal
index and paraffin contents. Then, the C28-C40 are not             of fuel 140, 561-567.
                                                          73
Session 2: Environment
        3th AUN/SEED
   The 13           D‐Net Region  nal Conferen
                                             nce on Chem   mical Engineeering 2020 (R
                                                                                    RCChE‐2020)
                                         Jointlly held with
           th
     Thee 5 Internattional Sympoosium on Con  nservation and Managem    ment of Troppical Lakes
                        “Insightss and Challen
                                             nges toward A  Achieving SD
                                                                       DGs”
       Asssessment of
                   o Water Quality and Soil Saliniity in the C
                                                             Coastal Areea of Camb
                                                                                 bodia
                            1
                           Cambodian Chemical Socciety, Street 5598, Phnom P      Penh, Cambodiia
                2
                Faculty of
                         o Science and Technology, In nternational Un
                                                                   University, Phnoom Penh 121011, Cambodia
                           c
                             Royal Acaddemy of Cambo odia, Russian BBlvd, Phnom Peenh, Cambodiaa
          d
           School
            S     of Earth
                         h Sciences and d Environmentaal Engineering,
                                                                   g, Gwangju Insttitute of Sciencce and Technollogy,
                                             Gwangju 500-712,
                                                      5         Repubblic of Korea
                                     *
                                       Coorresponding author:
                                                      a        kongkeeaphan@gmaiil.com
Abstract
    In the present
           p       study, we
                          w investigate water quality anda soil salinitty in the coastaal area of Cam  mbodia. A total number of 59
water samp  ples were colllected from Kampot;
                                        K         23 waater samples w    were collectedd from Kep annd 50 Water ssample of are
collected from
           fr    Koh Kong  g provinces. On-site
                                        O        measureements were coonducted for ppH, ORP, EC, T       TDS, salinity aand DO using
respective Hanna field in nstruments. Co oncurrently, agrricultural soilss in Koh Kongg are collected from each sitee using a grab
sampling technique. Soill salinity is determined by so   oil/water extraact method folllowing a standdard protocol. All chemical
measuremeents were perfo  ormed using Sp  pectrophotomeetry methods. A    Analytical resuults reveal thatt 28.6% of tubee well, 28.6%
of dug well and 40% of ponds
                           p     are salin
                                         ne in Kep and Kampot.
                                                         K         Chem mical analysis rreveals that 2.66 % of tube weell and 17.9%
of dug well have As > 10  0 ppb, exceeded d the WHO's Drinking
                                                        D          Waterr Quality Guiddeline. Approxiimately, 29.3%   % of tube well,
28.6% and 60% of pond have Fe > 0.3 mg L-1 whereaas 47.5% of tuube well, 45.7%          % of dug well and 20% of poond has Mn >
0.1 mg L-1. Moreover, 2.5                 h F- > 1.5 mg
                          5 % tube well has             g L-1; 5.7% of ttube well and 14.3% of dug w     well have NO3- > 50 mg L-1.
However, 12.5%
            1              w and 6.2% of dug well haave F- > 0.8 mgg L-1, Japanesee Drinking Watter Quality Stanndard. In Koh
                   of tube well
Kong, anallytical results reveal
                           r      that app
                                         proximately 122.5% of tube w   well, 4% of dugg well and 20%   % pond water are saline. Fe
and Mn aree the common contaminants for most of the water sourcees in Koh Konng coastal area.. Our current ddata show that
most of agricultural soilss in Koh Kong coastal area area non-salinityy, but the agriccultural fields w  which are closse to coastline
and/or in the
            t estuarine are
                          a considered   d as high and server salinityy. This study ssuggests that aappropriate waater treatment
technologiees are needed tot provide safee drinking wateer to people ressiding in Cambbodian coastal areas. Moreovver, adaptation
actions shoould be further promoted in orrder to cope with the potentiaal impacts of thhe climate channge in this coaastal zone.
I. Introdu
         uction                                                      Sihhanoukville andd Kampot Province [2]. Cem    ment factories
                                                                     are located in Kampot annd breweriess, handicraft
The coastaal shoreline off Cambodia is approximately   y 435
                                                                     mannufacturing, peetrol storage, local and internnational ports,
km along the Gulf of Thailand
                         T          coverring four prov
                                                      vinces
                                                                     hottels and restaurrants are beingg increasingly developed in
namely Ko oh Kong, Sihaanoukville, Kam  mpot and Kep  p with
                                                                     Sihhanoukville [2]. The coastal w water is considdered to be of
an estimateed area betweeen 17,791km² and 18,477km   m² [1].
                                                                     fairrly good quallity in terms of total suspended solids,
Urbanizatioon and industrrialization in the coastal zoone of
                                                                     disssolved oxygeen, biochemical oxygen ddemand, total
Cambodia are of a relatiively small scaale. Most urbaan and
                                                                     nitrrogen and tottal phosphoroous [3]. However, various
industrial developments are located along the coaast of
                                                                     polllution sources such as uuntreated wasttewater from
                                                             74
manufacturring and minin    ng, service andd tourism induustries,   2.2.. Field sampliing
solid and liquid wastes discharged from slaughterh       houses
and livestock farms, as well
                          w as transporrtation by waterways,        Waater sample waas collected froom tube well, dug well and
have a majajor impact on water quality    y in the countrry [3].    ponnd in Kampot, Kep and Koh Kong provincees (Fig. 1). In
For instancce, the domesttic and municiipal waste from the          totaal, 59 water sammples (tube waater n = 31, duug well n = 23
provincial town of Kam    mpot has been discharged th    hrough     andd pond n = 5)) were collectted from Kam      mpot province
the poor draining
            d          systeem to open manmade
                                           m          canaals or    whiile 23 water saamples (tube w well n = 11 andd dug well n =
natural strreams and theen to the coaastal water withoutw           12)) were collecteed from Kep province. Watter sample of
treatment [4].
            [ The impaccts of the disccharge of sewaage in          tub e well (n = 80)), dug well (n = 25), canal (nn = 7), pond (n
costal wateer could increase in oligotro   ophic, coastal water     = 55) and rain watter (n = 5) weere collected accross the Koh
pollution, eutrophication  n, and public health deterio  oration    Konng coastal aarea of Cam       mbodia. Grounndwater was
[2]. All thee rivers that fllow into the Gulf
                                          G of Thailan    nd are    colllected tube weell after pumpping out aboutt 5-10 min to
relatively small
            s       and veryy short with varying
                                           v        water levels    flussh the standingg water out of the tube. Wateer sample was
depending upon rainfall. They have th      heir sources in
                                                         n hills    thenn filled into two bottles for different purposes of
about 500 to 600 m in alltitude which are   a located 15 to 20      anaalyses. One w   was filled innto a 500ml acid-cleaned
km from the sea [4]. The     T ecologicaal communities and          polyyethylene botttle which was used to analyzze cations and
living orgaanisms in receiiving water arre affected by direct       anioons concentrattions. Anotherr was filled innto a 250 ml
discharge ofo the effluentts from variou   us industries [5].
                                                         [     In   acidd-cleaned polyyethylene bottlee and acidifiedd to pH < 2 for
addition, trace
           t       metals in n drinking water
                                          w       and food
                                                         dstuffs    meaasuring arsennic and heaavy metal cooncentrations.
cultivated in the contam   minated soil canc pose signiificant      Conncurrently, onn-site measureement of phyysicochemical
health effeect to their co  onsumers [6-7  7]. There is a little    prooperties was cconducted at each site durring the field
known ab   bout environm   mental pollutiion in Camb     bodian     sammpling. pH andd ORP was meeasured by Hannna HI 98191
coastal areeas. The marin ne water and seediment qualitty and       pH//ORP meter (Hanna, Italy)). Conductivitty, TDS and
biological samples of Cambodian coastal    c        zones were      saliinity were m  measured by HI 98192 E        EC/TDS/NaCl/
documenteed in 2003 [4]. There is no a regular monitoring           Ressistivity meterr (Hanna, Italyy) while DO w    was measured
program which
          w         has been n well establiished in the coastal
                                                         c          by HI9147 DO m     meter (Hanna, Italy). All fieeld equipment
areas of Cambodia,
           C             except Sihanouk   kville [8]. It is of     andd instruments were checkedd and calibraated with the
significancce to investig   gate water qu   uality and saalinity    resppective standarrd solutions prrior to each fieeld trip. Water
susceptibiliity in the coasttal areas of Cam
                                           mbodia.                  fromm dug well w    was collectedd and treated in the same
                                                                    mannner as grounndwater. One was filled intto the 500ml
II. Materials and Metthods                                          acidd-cleaned polyyethylene bottlee and another w was filled into
                                                                    the 250ml acid-clleaned polyethyylene bottle aft fter which was
2.1. Samplling sites
                                                                    aciddified with HN NO3 (65%) to pH less than 22. Pond water
                                                                    werre collected ussing grab samppling method aat depth about
                                                                    0-3 0 cm. A compposite sample w  was filled into tthe respective
                                                                    polyyethylene bott ttles. All wateer samples weere kept in a
                                                                    coooler after field and transferreed to a fridge at laboratory
                                                                    wheere they were sstored at 4 0C uuntil analysis.
                                                             75
Spectropho otometer DR 1900 (Hach, US     SA). Hach DR R 1900            (ECC1:5) following a method desccribed by Harddie and Doyle
was also used to measure nitrate, nitrite, sulfatee, fee                 [9].. In brief, 1: 5 soil/water suspension is prepared by
chlorine annd total chlorinne. Al, Ca, K and phosphatee were             weiighing 20.0 g air-dry soil innto a vial and add 100 mL
analyzed byb Hanna HI 83099 (Hann        na, Italy) usin
                                                       ng the            deioonized water w  which is then mechanically shaken (end-
respective reagents obtaained from Hanna company        y. All           oveer-end preferreed) at 25°C in a closed systeem for 30 min
analytical methods
            m         and procedures
                           p           of Hach are com mpliant           to ddissolve solublle salts. It is theen allowed aboout 15 min for
with U.S.E  EPA. Likewisse, as soon as    a agricultural soil            the soil to settle. The measurem     ment of EC is performed by
samples arre delivered to a laboratory, the samples arre air-            Hannna HI 981922 dipping the conductivity cell into the
dried in thiin layer and co
                          ontinuously turrned over and mixed
                                                        m                suppernatant, movving it up annd down sligghtly without
to avoid fungal
           f        developpment. After that, the dried d soil           distturbing the setttled soil.
samples arre ground with  h a mortar and a pestle and passed
                                                        p
through 0.2 2 mm (80 messhes) sieve. In  n the laboratory
                                                        y, soil          III . Results and
                                                                                         d Discussion
salinity is measured
            m          as th
                           he electrical conductivity
                                         c            at 25°C
from an unfiltered
           u           1:5 soil : distilled
                                          d water suspeension
                                                                         andd 40% of pond are saline andd 45.2% of tube well, 45.7%
                                                                         of dug well andd 100% of ppond are turbbid. Chemical
                                                                         anaalysis reveals tthat 2.6 % of ttube well and 17.9% of dug
                                                                         welll have As > 10 ppb, exceeeded the WH        HO's Drinking
                                                                         Waater Quality G  Guidelines. Cooncurrently, 299.3% of tube
                                                                         welll, 28.6% and 660% of pond hhave Fe greateer than 0.3 mg
                                                                         L-1 whereas 47.5% % of tube welll, 45.7% of dugg well and 20% %
                                                                         of ppond has Mn > 0.1 mg L-1. Concurrently, 5.7% of tube
                                                                         welll and 14.3% oof dug well havve nitrate greateer than 50 mg
                                                                         L-1, exceeded CD  DWQS and W    WHO's DWQ G     Guidelines. In
                                                                         Kohh Kong, analyttical results revveal that approximately 12.5%
                                                                                                                                       %
                                                                         of tube well, 4%  % of dug welll and 20% poond water are
Fig. 2 Wateer salinity level from shorelin
                                         ne                              saliine. Fe and Mnn are the comm   mon contaminnants for most
                                                                         of tthe water sourrces in Koh Koong coastal areea. The water
                                                                         saliinity decreasess while the ddistance from the shoreline
The Summmary of chemiccal measuremen   nts of water so
                                                     ources              incrreases (Fig. 2).
in Kep pro
         ovince is preseented in Tablee 1. In Kampo  ot and
Kep, appro
         oximately 28.6%% of tube welll, 28.6% of dugg well
                                                                  76
 Table 2 The summary of pH and salinity (µS cm-1) of                          considered non-salinity, but some areas which are close to
 soil in Koh Kong coastal area                                                coastline or in the estuarine is considered high and server
              KMP(n=15)         KRS(n = 13)               BSK (n = 17)        salinity, respectively. This study suggests that appropriate
 Statistics    EC      pH         EC          pH            EC         pH     treatment technologies are necessary for residents in the
 Mean         40.43   5.18       73.58       5.78         130.01      4.83    coastal area to access to clean water and minimize their
 Median       39.36   5.23       31.11       5.95          32.81      4.49    potential health risks. Moreover, adaptation actions should
 SD           18.82   0.86      153.81       1.05         356.69      0.73    be further promoted in order to cope with the potential
 Min          13.44   4.10       6.65        4.25          22.70      3.79    impacts of the climate change in this coastal area.
 Max          72.53   6.83      583.57       7.44         1510.67     6.16
 KMP, Khemarak Pumin; KRS, Kirisakor; BSK, Botumsakor                         Acknowledgements
 SD, Standard deviation; Min, Minimum; Max, Maximum; Salinity is              This work was supported by GIST Research Institute (GRI)
 measured by 1:5 dilution EC1:5 method                                        grant funded by the Gwangju Institute of Science and
                                                                              Technology (GIST) in 2020. The authors thank students in
The summary of pH and salinity (µS cm-1) of soil in Koh                       Food Chemistry Lab, Faculty of Science and Technology,
Kong coastal area is presented in Table 2. The mean                           IU for their field and lab assistance.
salinity of soil in Khemarak Pumin, Kirisakor and
Botimsakor are less than 150 µS cm-1 which is considered                      References
non-salinity by Australian soil salinity classification for
                                                                              [1] Johnsen, S., Munford, G. (2012). European Union Delegation
sandy soil (Table 3).                                                             to    Cambodia.      “Country     Environment     Profile.”
 Table 3 Australian salinity class based on saturated paste                       https://eeas.europa.eu/archives/delegations/cambodia/d
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                                                                                  2012_en.pdf Accessed: 15 December 2020.
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 Non-                                                                         [4] Water Environment Partnership in Asia (WEPA). 2020. The
                0-2                 0-0.14           0-0.18         0-0.25
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 Low            2.0-4.0           0.15-0.28         0.19-0.36   0.26-0.50         db.net/policies/state/cambodia/seaarea.htm Accessed: 15
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 Severe         16.0-32.0         1.15-2.28         1.46-2.90   2.01-4.00         Assessment of heavy metal pollution in water using
 Extreme        > 32.0              > 2.28            > 2.90      > 4.00          multivariate statistical techniques in an industrial area: A case
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                                                                                  Journal of Hazardous Materials 167, 366-373.
Statistical data analysis indicates that soil salinity in                     [6] Kavcar, P., Sofuoglu, A., Sofuoglu, S.C., 2009. A health risk
Khemarak Pumin does not significantly differ from those in                        assessment for exposure to trace metals via drinking water
Kirisakor (t-test, p > 0.05) and Botumsakor (t-test, p >                          ingestion pathway. International Journal of Hygiene and
                                                                                  Environmental Health 212, 216-227.
0.05). Likewise, there is no significant difference in soil
                                                                              [7] Huang, M.L., Zhou, S.L., Sun, B., Zhao, Q.G., 2008. Heavy
salinity in Kirisakor and Botumsakor (t-test, p > 0.05).                          metals in wheat grain: Assessment of potential health risk for
However, upper range of soil salinity in Kirisakor and                            inhabitants in Kunshan, China. Science of the Total
Botumsakor are considered as high and server, respectively,                       Environment 405, 54-61.
for sandy soil (Table 3). This could reflect seawater                         [8] Vorng, S. 2016. Water and Wastewater Management
intrusion in Koh Kong coastal area, especially the                                Cambodia. Conference on Watershed Management for
agricultural fields close to coastline or in the estuarine.                       Controlling Municipal Wastewater in South East Asia, 28 July
                                                                                  2016, Nagoya, Japan
IV. Conclusion                                                                [9] Hardie, M., Doyle, R. 2012. Measuring Soil Salinity: In
                                                                                  Sergey Shabala, S and Cuin, T.A. (Edit). Plant Salt Tolerance,
The present study reveals that water sources near shoreline                       Methods and Protocols, Springer New York Heidelberg
are saline. Water salinity decrease as distance from                              Dordrecht London
shoreline increases. Fe and Mn are the common
contaminants for most of the water sources in Cambodian
coastal area. Soil pH in Koh Kong coastal area is acidic;
most of the agricultural soil in the Koh Kong coastal area is
                                                                         77
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
        1
           Earth Sciences Study Program, Faculty of Earth Sciences and Technology, Bandung Institute of Technology,
                                 Jalan Ganesa No. 10 Bandung 40132, Jawa Barat Indonesia
         2
           Faculty of Water Resources and Hydrology, Institute of Technology of Cambodia, Russian Federation Blvd.,
                                        P.O. Box 86, 12156 Phnom Penh, Cambodia
       3
         Water and Environment Unit, Research and Innovation Center, Institute of Technology of Cambodia, Russian
                                Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                                * thoeurn.thean@gmail.com
Abstract
    Seasonal rainfall prediction is very important product for various purposes, especially agriculture application. The forecast
of the rain in Cambodia contains a high value of uncertainty due to high rainfall variability and complex geography. The level
of uncertainty can be delivered quantitatively using probability. This study aims (1) to apply and evaluate two statistical
downscaling methods; Constructed Analogue (CA) and Bias Correction (BC) Methods based on the Climate Forecast System
version 2 (CFSv2) output for seasonal rainfall forecasts and (2) to assess the probabilistic forecasting skills of the forecasted
rainfall over Cambodia. The predictors used for CA method include stream function (ψ), velocity potential (χ) and geopotential
height at 850 hPa level (z850), whereas the predictand is rainfall quantity. Two statistical indicators are used to evaluate the
performance of each method in downscaling rainfall in Cambodia, namely Correlation Coefficient and Brier Score. Based on
the Correlation Coefficient, the predicted rainfall of CA method shows higher correlation with observation compared to BC
method. However, BS used to evaluate the seasonal extreme showed that the CA method was not able to capture the extreme
rainfall events. The area-averaged BS over Cambodia is 0.26 and 0.33 for CA and BC method (lower BS, better prediction
skill), respectively. Thus, CA method is recommended for climate downscaling in Cambodia.
                                                            78
have not been thoroughly assessed. Moreover, CFSv2               downscaling which is stimulated by analog weather
provides ensemble rainfall prediction that needs to be           forecasting. CA should be basically implemented in two
processed and delivered as probabilistic forecast products.      steps: diagnosis, and prognostic processes. Diagnosis
Specific methods are needed to assess the skill of the           process is performed to find relationships between patterns
probabilistic rainfall forecast in quantifying the uncertainty   of predictor that are similar in two different times (usually
of spatially varying seasonal rainfall patterns across           the past and future). The measure of similarity of analogue
Cambodia due to complex topography. The objectives of this       for two vectors 𝑎⃗(𝑢) and 𝑎⃗(𝑡) can be identified by using,
study are as the following:                                      cosine similarity as given by the following expression:
    1. To apply and evaluate the performance of two                                      𝑎⃗(𝑢). 𝑎⃗(𝑡)
                                                                               𝑆(𝑢) =                                 (Eq.1)
statistical methods, CA and BC, applied for downscaling                                |𝑎⃗(𝑢)||𝑎⃗(𝑡)|
CFSv2 output for seasonal rainfall forecasts in Cambodia
    2. To assess the probabilistic forecasting skills of         In the diagnosis process, both vectors represent same
seasonal rainfall forecast in Cambodia.                          predictor variable; in this case, one of previously mentioned
                                                                 three variables 𝜓, 𝜒, or z at 850hPa. For target time t, an
II. Materials and Methods                                        analog predictor in the database is searched and selected
                                                                 based on the similarity value, 𝑆(𝑢) which is valid for a past
2.1. Dataset
                                                                 time u. Different from original analogue method, where
    Rainfall data with long records are needed to implement
                                                                 only single analogue is searched, 30 best analogues are
the CA method but gauge observations that meet such
                                                                 selected by the rank of 𝑆(𝑢) in this CA implementation.
specification are not obtainable for this study. Therefore,
                                                                 The relationship between those 30 analogues and the
Asian Precipitation—Highly Resolved Observational Data
                                                                 predictor value at target time t can be established by several
Integration Towards Evaluation of Water Resources
                                                                 methods like linear regression or weighted averaging.
(APHRODITE) gridded secondary dataset is used because it
                                                                 Herein, a weighted averaged model is employed to get the
covers Cambodia and available from 1951 to present.
                                                                 constructed value by:
APHRODITE dataset covers Asian continent and contains
daily rain gauge data from a dense network derived from the
Global Telecommunication System (GTS) and consists of                            𝑍𝐶𝐴 (𝑡) = ∑ 𝑊𝑖 𝑃𝑖                     (Eq.2)
gridded rainfall data with 0.25o×0.25o spatial resolution [2].                              𝑖=1
APHRODITE is regarded as a proper dataset for climate            Where 𝑃𝑖 is a database predictor of each 30 best analogue
study over Indochina Region [3].                                 and 𝑍𝐶𝐴 is a target predictor value at target time t.
    Other most important dataset for this study is the           The prognosis process aims to form one analogue rainfall
database of global model output, for which the Climate           (constructed analogue) at every target time t, based on the
Forecast System Reanalysis (CFSR) dataset with                   best analog group (subset) obtained from the process
1979−2010-time span is used. In addition, archives of            diagnosis. In this study we used a weighted averaging
CFSv2 operational predictions model output from 2012 to          method in the prognosis process. The weight (W) of each
2015 are also collected. These databases actually contain        member of the analog subset of predictors was determined
many variables but for the purpose of this study, only           based on the correlation coefficient and RMSE on target
horizontal wind vector and geo-potential height z at 850 hPa     predictors.
level from the CFSR dataset are selected. The wind vectors       This weight is used in the formation of constructed
are then transformed into two scalar variables namely stream     analogues at the target time t:
function 𝜓 and velocity potential 𝜒. These two variables are                   𝑅𝐶𝐴 (𝑡) = ∑ 𝑊𝑖 𝑅𝑖                       (Eq.3)
already available in the CFSv2 data, so further calculations                              𝑖=1
are not needed. More detailed discussions about the use of       Where 𝑅𝑖 is a predictand analog subset that pairs with an
the variables in CA method implementation is given in the        analog subset of predictors and RCA is a predicted rainfall of
following sections.                                              CA. In this study, the training period starts from 1979 to
                                                                 2010, while the target period starts from 2012 to 2015.
2.2. Constructed Analogue Method
    Constructed analogue (CA) is a method of statistical
                                                           79
2.3. Bias Correction Method                                                      Where OBS is the value of observed rainfall, and RF is
                                                                                 rainfall forecast. CC is ranged from -1 (poorest skill) to 1
    The first step of statistical Bias Correction is to find the
                                                                                 (highest skill).
ratio for each quintile (𝛼𝑞 ) between data rainfall observation
(in this research, APHRODITE data used as secondary data)
                                                                                 2.4. Probabilistic Forecast Verification
with database of rainfall estimation based on CFSv2. 𝛼𝑞 is
                                                                                     Brier Score (BS) is used to evaluate the accuracy of
                                       (a)                                                             (b)
 Fig. 1. Correlation between observed rainfall and predicted rainfall of Constructed Analogue (a) and Bias Correction (b)
    with each grid cell over Cambodia region. The correlation is significant at 99% confident interval based on student t-
    test. The cross-hatched and the yellow contours indicate that the test is failed
considered a correction factor for each quantile and a                           probabilistic predictions. BS is a measure of mean square
multiplier for estimated values CFSv2 in the same quantile                       error of probability of prediction for two categories such as
( 𝐶𝐹𝑆𝑉2_𝑝𝑟𝑒𝑑𝑞 ) to obtain corrected rainfall ( 𝑃_𝑝𝑟𝑒𝑑𝑞 ).                        rain event and no rain event. BS is calculated as follows;
                                                                                                 𝑁
The correction factor for each quantile is as follows.                                     1
                                                                                       𝐵𝑆 = ∑(𝑝𝑖 − 𝑎𝑖 )2 ;         0<𝐵𝑆 < 1           (Eq.7)
                                                                                           𝑁
                    𝑑𝑎𝑡𝑎𝑏𝑎𝑠𝑒_𝐴𝑝ℎ𝑟𝑜𝑑𝑖𝑡𝑒𝑞                                                         𝑖=1
            𝛼𝑞 =                                                       (Eq.4)    Where; 𝑁 is the number of samples 𝑝𝑖 is the probability
                     𝑑𝑎𝑡𝑎𝑏𝑎𝑠𝑒_𝐶𝐹𝑆𝑣2𝑞
                                                                                 of prediction and 𝑎𝑖 is that of observation (𝑎𝑖 is 1 if the
                                                                                 event occurs and 0 if the event does not occur). BS ranged
   After obtaining correction factor of each quantile, the
                                                                                 from 0 (highest skill) to 1 (poorest skill).
correction factor will be used to correct rainfall in the testing
period with the equation as following.
                                                                                 III. Results and Discussion
           𝑃_𝑝𝑟𝑒𝑑𝑞 = 𝛼𝑞 × 𝐶𝐹𝑆𝑉2_𝑝𝑟𝑒𝑑𝑞                                  (Eq.5)    3.1. A Comparison of Statistical Performance between
                                                                                 the CA and BC Methods
2.3. Deterministic Forecast Verification                                             Figure 1 illustrates the correlation of daily rainfall of
                                                                                 ensemble mean between the downscaled rainfalls with
    Correlation Coefficient (CC) is a measure of linear
                                                                                 observation. Based on the result, it can be seen that the CA
correlation of two variables. It indicates how well
                                                                                 (Fig. 1a) method showed higher correlation compared to BC
observation and forecast value fit a line. This can be
                                                                                 Method (Fig. 1b). This indicates that BC method is not well
estimated by:
             𝑛 ∑𝑛s=1 RF𝑠 OBS𝑠 − ∑𝑛s=1 RF𝑠 ∑𝑛s=1 OBS𝑠
                                                                                 perform compared to CA method. The CA method exhibits
 CC=                                                 (Eq.6)
     √[𝑛 ∑𝑛s=1 RF𝑠2 − (∑𝑛s=1 RF𝑠 )2][𝑛 ∑𝑛s=1 OBS𝑠2 − (∑𝑛s=1 OBS𝑠 )2]             slightly higher correlations over certain regions such as the
                                                                                 western part of Cambodia, while BC method show limited
                                                                            80
skill over some regions, i.e., hatched areas in Fig. 1b            IV. Conclusion
(correlation is not significant).                                      Based on statistical performance analysis, Bias
                                                                   Correction (BC) method shows lower correlation compared
3.2. Verification of the Probabilistic Seasonal Rainfall           to Constructed Analogue (CA) method. Brier Score (BS)
Forecast                                                           using to evaluate probabilistic forecast of the seasonal
                                                                   rainfall above normal showed that the CA method was not
   In this study, the probability of seasonal rainfall which is
                                                                   able to capture the extreme event. The area-averaged BS
more than 66 percent is used to define seasonal rainfall
                                                                   over Cambodia is 0.26 and 0.33 for CA and BC method
above normal. BS is one of the probabilistic verification
                                                                   (lower BS, better prediction skill), respectively. Thus, CA
methods used for verifying the seasonal prediction skill of
  Fig. 2. Brier Score of seasonal above normal of Constructed Analogue (a) and Bias Correction method (b) for May-July (MJJ).
  The correlation is significant at 99% confident interval based on student t-test. The cross-hatched and the yellow contours indicate
  that the test is failed
climate model result. Technically, the lower BS indicates           method is recommended for climate downscaling in
that the probability of the forecast is close to the observed       Cambodia.
event and vice versa for the higher BS. The result of BS for        References
seasonal rainfall above normal is illustrated in Fig. 2. The        [1]    Wood, A.W., Leung, L.R., Sridhar, V., Lettenmaier,
area-averaged BS over Cambodia is 0.26 and 0.33 for CA                     D.P., 2004. Hydrologic implications of dynamical
and BC method, respectively. It is noted that the BS as a                  and statistical approaches to downscaling climate
result of the CA method over the south-western part of                     model outputs. Climatic Change 62, 189.
Cambodia is higher than that of BS method. This is because          [2]    Yatagai, A., Kamiguchi, K., Arakawa, O., Hamada,
this region is the coastline area which frequently                         A., et al., 2012. Aphrodite constructing a long-term
experienced higher rainfall. Moreover, the prediction of the               daily gridded precipitation dataset for Asia based on
CA method was not able to capture extremely low and high                   a dense network of rain gauges. Bulletin of the
observed rainfall values. For the BC method, certain parts of              American Meteorological Society 93, 1401–1415.
Cambodia have higher BS due to a large uncertainty                  [3]    Chhin, R., Bui, H.-H., Yoden, S., 2017.
produced by the BC method. However, the BC method                          Characterization of monthly precipitation over
shows higher skill than the CA method in several locations                 Indochina region to evaluate CMIP5 historical runs.
such as the north-eastern part of Cambodia.                                DPRI Annuals 60B, 502–522.
                                                            81
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
A Survey of Household Water Use and Groundwater Quality Index Assessment in a Rural
         Community of Cambodia for Studying Potential Water Treatment Plant
Sreymao Sek 1,2, Borin Heang 1,2, Pisut Painmanakul 3, Chantha Oeurng 2 and Saret Bun 2,*
                                1
                                    Water and Environmental Engineering, Graduate School,
                           Institute of Technology of Cambodia, Phnom Penh 12156, Cambodia
                                  2
                                    Faculty of Hydrology and Water Resources Engineering,
                           Institute of Technology of Cambodia, Phnom Penh 12156, Cambodia
                           3
                             Department of Environmental Engineering, Faculty of Engineering,
                                     Chulalongkorn University, Bangkok 10330, Thailand
                                             * Corresponding author: saret@itc.edu.kh
Abstract
    The objective of this assessment is to estimate the household domestic water use and groundwater quality index in a small
rural community of Preyveng province. About household water use, 100 respondents in Preal commune were randomly
selected as the participants for field survey questionnaire. Average daily water consumption in Preal is about 71 liters per
capita. From this value, it was estimated that more than 80% of the households in study area is facing the water scarcity in
terms of water quantity, which may consider as a serious concern for health promoting in the study area. All households in
Preal heavily relies on groundwater wells for household domestic water use. The household used raw groundwater as drinking
water was found up to 56% without a proposer treatment system. Hence, their perception about groundwater was studied in
order to acknowledge their knowledge on quality of water. As the result, more than haft of the household indicated that their
current water use is safe while other 19% considered not safe and still directly accessed to that raw water in a reason of no
choice. About water price investigation, the results demonstrated that the price of domestic water use in Preal commune is
about 0.228 USD/m3, which is more expensive than clean water supply of Phnom Penh Water Supply Authority. In terms of
water quality, about 75% of groundwater wells in Preal commune presented in poor conditions and unsuitable for drinking
purpose. Arsenic, fluoride, and iron were defined as the main associated contaminants in groundwater on water quality index.
Consequently, the presence of these three contaminants has been considered as one of the major challenges associating to
water scarcity in Preal commune as well as many rural communities of Southeast Asia countries.
Keywords: Cambodia, Groundwater quality index, Household water use, Survey questionnaire
                                                         82
many counties and generally provides more than 45% of           for household potable water and other 77 wells used as
drinking water in the world, especially in the small towns      irrigation or agriculture wells (about 65 families). It is
and rural communities where rely for domestic supplies          divided into three types of groundwater well including pump
[2,3]. Groundwater is an optional resource where pipe water     or mixed, ring, and unprotected dug wells.
supply is not accessible.
    In Cambodia, groundwater roles as the main source for
drinking water supply, which used up to 53% of Cambodian
households in dry season. It is currently used for a small
community water supply and expected to be trend more for
industrial and agricultural irrigation use. Main issues and
challenges, groundwater contents high level of arsenic, iron,
manganese, fluorides, and salt in Mekong and Tonle Sap
river basin, particularly along the river and some areas [4].
Not only Cambodia, the neighboring countries including
Laos, Thailand, and Vietnam have reported about the serious
arsenic, iron, fluoride, etc. contamination in groundwater.
    To propose an efficient system for addressing the water
scarcity, the information on water consumption and
groundwater contamination related to the water quantity and     Fig. 1. Study area of Preal commune in Preyveng province
quality are essential for estimating the optimal preparation
of the comprehensive water system including groundwater         2.2. Data collection and analysis on water use
treatment processes design and supply system. Such type of          A survey was conducted at the individual household
investigation assumes importance for satisfying the growing     level in the study area. Basic information of sample size
needs of the people in the community. This study aimed to       selecting for data collection is crucial importance related to
estimate the household domestic water consumption and           resource and time consuming as well as result accuracy.
groundwater quality index in a small rural community of         Determination sample size mainly depend on three
Preyveng province, Cambodia, for proposing a quantitative       parameters: level of precision (e), level of confidence or risk,
information for designing groundwater treatment processes       and degree of variability in attribute [6]. In this study, sample
and supply system. Moreover, the results and findings of the    size of the respondents was determined amount of family
present study with respect to Preal commune in Kanhchriech      need to conduct interview with prepared questionnaires. The
district of Preyveng province would be practical, beneficial    95% of confidence level, 50% of variability degree, and 5%
and meaningful and will act as a model for the rural sector     of precision level was selected to estimate the sample size.
water resource managers in rural or semi-urban area of          Maximum sample size for infinite population is 100. Hence,
Cambodia as well as in other parts of the globe.                100 respondents were collected for conducting an analysis.
                                                                    Methodology of water use analysis is based on an
II. Materials and Methods                                       interdisciplinary, descriptive, intergraded, and cross-
                                                                sectional analysis approaches. Survey questionnaires
2.1. Study area                                                 contained both closed and open-ended question included the
    This study has been carried out in a small scale of         questions on domestic and drinking water consumption and
Preyveng province in Preal commune of Kanhchriech               source, respondent perception on water quality, and level of
district (see Fig. 1). Preal is one of the communes among 8     awareness about safe water accessibility. It was conducted
in Kanhchriech district, where located at the south of Phnom    through direct face-to-face interview at the household of
Penh capital about 45 kilometers, along the coordinate 11º      respondents. Various types and sizes of vessels used in each
39’N latitude and 105º 37’E longitude. Coverage area of         household were measured the volume. Amount of household
Preal commune is about 66.5 km2 to group 16 villages.           domestic and drinking water use was asked in terms of usage
Based on commune database online (CDB) of national              duration per each vessel in which convenient for respondent
committee for sub-national democratic development               and data accuracy. It was therefore used to determine daily
(NCDD) [5], more than 1,100 groundwater wells were used
                                                          83
water consumption for overall household and drinking only.       Table 1. Weight (wi) and relative weight (Wi) of each
                                                                 water quality parameter
2.3. Socio-economic classification
    Annual household income was selected for socio-               Parameter      Unit  WHO Std.            wi        Wi
                                                                  pH              -    6.5 - 8.5           4        0.125
economic classification in this study since it is easy to
                                                                  Iron           mg/L      0.3             4        0.125
operate and understand, as indicated by Singh and Turkiya         Arsenic        µg/L      10              5        0.156
(2013) [7]. A collected annual income data from each              Fluoride       mg/L      1.5             4        0.125
surveyed household was classified into five socio-economic        Hardness       mg/L*    100              2        0.063
groups. These five groups are Group 1 (< USD 500), Group          Chloride       mg/L     250              3        0.094
2 (USD 500 - 1,000), Group 3 (USD 1,000 - 2,000), Group           Manganese      mg/L     0.05             4        0.125
4 (USD 2,000 - 4,000), and Group 5 (> USD 4,000).                 Nitrate        mg/L      50              5        0.156
                                                                  Turbidity      NTU        1              1        0.031
                                                                 *as CaCO3
2.4. Groundwater quality index method
    Groundwater quality was mainly based on the secondary
                                                                    Estimated values of WQI were classified into five levels
data source. Available groundwater quality data of a total 21
                                                                 described water condition, as presented in Table 2.
accessible wells (see Fig. 1.) sampled and analyzed between
2007 and 2008 was collected (MRD-Cambodia, 2010).                Table 2. Water quality classification based on WQI
Water quality index (WQI) is the method for investigating
the influence of individual water quality parameter on the        WQI range       Water quality
overall water quality. Procedure for WQI calculation was             < 50         Excellent water
divided into three steps. First, all nine parameters were          50 – 100       Good water
assigned as weight based on their perceived effects on            100 – 200       Poor water
primary health. Assigned weight of each parameter was             200 – 300       Very poor water
                                                                    > 300         Unsuitable water for drinking purpose
referred to the previous studies of Ramakrishnaiah,
Sadashivaiah, and Ranganna (2009) [8] and Sadat-Noori,
                                                                 III. Results and Discussion
Ebrahimi, and Liaghat (2014) [9], as shown in Table 1.
Secondly, a relative weight (Wi) of each parameter was           3.1. Daily water consumption
determined by using Eq. (1), where wi is the weight each             Total domestic water consumption in daily of Preal
parameter, n is number of parameters investigated, Wi is the     commune were estimated about 31,303 liters. Maximum
relative weight. WHO standard level, weight (wi), and            domestic water was taken by Group 4 households followed
relative weight (Wi) were provided in Table 1.                   by Group 5 and 3 households. These three socio-economic
                                                                 groups constituted more than 70% of total consumption. For
                             wi                                  maximum water consumption by Group 4 represented the
                   Wi =     n                         (Eq.1)
                           ∑i=1 wi                               socio-economic group with the annual income between USD
                                                                 2,000 and 4,000 is in a good agreement with the finding of
                          Ci                                     Singh and Turkiya (2013) [7] that maximum water
                   qi =      × 100                    (Eq.2)
                          Si                                     consumption was observed at a socio-economic class with
                                                                 annual income USD 2,000 – 4,000.
                   SIi = Wi × qi                      (Eq.3)
                                                                 Table 3. Daily water consumption (litter per capita)
                   WQI = ∑ SIi                        (Eq.4)
                                                                   Socio-economic         Mean value              SD
   Last step, a quality rating scale (qi) was determined using        Group 1                76.8                 69.0
                                                                      Group 2                65.8                 45.2
Eq. (2), where qi is quality ranking, Ci is concentration of
                                                                      Group 3                68.6                 46.4
each parameter (mg/L), and Si is WHO standard level                   Group 4                76.0                 64.1
(mg/L). Value of qi was used for determining sub-index (SIi)          Group 5                66.2                 44.3
before calculating WQI using Eq. (3), and (4), respectively.            Mean                 70.7                 53.8
                                                           84
                                                                   consumption possibly due to the higher cost required.
    Table 3 presented the domestic water consumption per
capita in Preal commune. Average daily water consumption           3.3. Perception of water quality
per household in the study area is 313.0 litters whereas per           Perception of water users on current water use quality is
capita is around 70.7 litters. It is quite low, almost two times   another important information should be acknowledged
compared to the minimum water quantity (150 L/day.capita)          even there is a water quality standard set, especially, for a
recommended by WHO. More than 80% of the households                rural community of developing country. Approximate 40%
in Preal commune is facing water scarcity in terms of water        of household in Preal commune responded that they did not
quantity. The value found is such as a serious concern for         concern about their current water use quality. Moreover, it
health promoting in the study area which instantly required        was noticed during the field survey that few people
a suitable and sustainable solution.                               simplified that their water was traditionally used long time
                                                                   ago without any serious problems observed while other few
3.2. Sources of water use                                          people mentioned that raw groundwater is more favorite and
    Information of water sources for domestic water was also       tastier compared to boiled or filtrated or bottled waters.
investigated during field survey. It showed that 93% of the        More than haft of household in Preal commune believe that
households heavily relies on groundwater wells only, while         their current water use is safe while other 19% considered
other 6% are using both groundwater wells and rain water           not safe, but still directly accessed to that raw water. From
storage. There is only 1% of the households depend on              this result, the water quality assessment becomes more and
groundwater wells with surface water.                              more important in order to clarify the safety level of their
                                                                   current water use.
processes and other 37% used groundwater as the source for                                0.4    Average water price for drinking water
                                                                   Water price [USD/m3]
                                                             85
                                                                as well as to find out the main associated contaminants on
    The results demonstrated that the price of domestic water   water quality index. Water quality index was determined in
use in Preal commune is about 0.228 USD/m3 whereas              order to check if groundwaters in Preal commune is suitable
drinking water is about 0.286 USD/m3. This result is very       for drinking purpose or not. Water quality index of each
important for future estimation on water use development as     groundwater well was estimated and the result showed that
well as water economic analysis in the study area. By the       there is no groundwater can be categorized as ‘Excellent
way, assuming that a single household monthly consumed          water’ while only 5 wells are classed in ‘Good water’ and
about 10 m3 of water, the price of water use in Preal           the rest fall below this range. It means that 75% of the
commune (0.228 USD/m3) is more expensive than that of           groundwater wells in study area presents in poor conditions
clean water supply of Phnom Penh Water Supply Authority.        and unsuitable for drinking purpose. Moreover, water
It is expected the people living condition as well as local     quality index was mainly distributed by four contaminants
GDP should be better after a qualified water was supplied       including arsenic, iron, fluoride, and manganese. It indicated
with a reasonable price due to the payment on water sector,     that the presence of these contaminants is the barer for
consequently resulted on health concern as well as human        accessing to the qualified water use in daily life of the people
productivity, etc.                                              in Preal commune and may distribute the nearby
                                                                communities as well.
3.5. Groundwater quality assessment
    Based on the result from previous part, all households in   IV. Conclusion
Preal commune mainly relies on groundwater wells for their
                                                                    This study aimed to estimate the household domestic
domestic activities and more than haft of households directly
                                                                water consumption and assess the groundwater quality in a
consumed raw groundwater as drinking water without any
                                                                small rural community of Preyveng province, Cambodia. In
treatments. Therefore, this groundwater quality assessment
                                                                average, daily water consumption in Preal commune is about
is very important in order to clarify the potential effect of
                                                                71 liters per capita. Related to daily water use, all residents
contaminants in groundwater as well as on human health.
                                                                in this community heavily relies only on groundwater wells
This part aims to assess the quality of groundwater in Preal
                                                                for household domestic water use and the household used
commune mainly based on the secondary data source.
                                                                raw groundwater as drinking water was found up to 56%
Table 4. Statistical analysis of groundwater quality            without treatment process. Due to the importance of
parameters in Preal commune                                     groundwater used in Preal commune and their accessibility
                                                                without treatment, the assessment of its water quality is very
 Parameter      Unit      Min      Mean     Max         SD      necessary for a protection and solution preparation. Based
 pH              -        5.30      6.80     7.42       0.47    on water quality index method, about 75% of groundwater
 Iron           mg/L      0.00      2.70     9.00       3.01    wells in Preal commune presented in poor conditions and
 Arsenic        µg/L      0.00      6.00    25.00       8.00    unsuitable for drinking purpose. Arsenic, fluoride, and iron
 Fluoride       mg/L      0.35      2.46     5.33       2.23
                                                                were defined as the main associated contaminants in
 Hardness       mg/L*     18.0     131.0    198.0       54.0
 Chloride       mg/L      0.29      4.32    14.00       3.68    groundwater on water quality index. Based on the result of
 Manganese      mg/L      0.01      0.10     0.15       0.03    this study, a removal of iron, arsenic, and fluoride from
 Nitrate        mg/L      0.00      1.38    10.54       2.87    groundwater is very necessary for addressing water scarcity
 Turbidity      NTU       0.42     10.82    106.0      23.84    through groundwater use.
*as CaCO3
                                                                Acknowledgement
   Statistical analysis results were presented in Table 4.
Based on the results, it indicated that groundwater in Preal       We are thankful to Project for Strengthening
commune mainly contaminated by iron, arsenic, fluoride,         Engineering Education and Research for Industrial
and manganese, which are mainly associated on human             Development in Cambodia of JICA through LBE Research
health effect from daily consumption. Additionally, water       Grant for financial support.
quality index should be estimated in order to understand the
water condition of each groundwater wells in the study area
                                                           86
References
[1]   Margat, J., Van der Gun, J., 2013. Groundwater
      around the world: a geographic synopsis. CRC Press.
[2]   National Groundwater Association, 2016. Facts
      about global groundwater usage.
[3]   UNESCO, 2009. The united nations world water
      development report 3–water in a changing world.
      United Nations Educational Scientific and Cultural
      Organization, Paris.
[4]   Ha, K., Ngoc, N. T. M., Lee, E., Jayakumar, R., 2015.
      Current Status and Issue of Groundwater in the
      Mekong River Basin. KIGAM, CCOP & UNESCO,
      Bangkok.
[5]   CDB Online, 2010. Commune Database Online.
[6]   Miaoulis, G., Michener, R. D, 1976. An introduction
      to sampling, Kendall.
[7]   Singh, O., Turkiya, S. 2013. A survey of household
      domestic water consumption patterns in rural semi-
      arid village, India. GeoJournal 78(5), 777-790.
[8]   Ramakrishnaiah, C., Sadashivaiah, C., Ranganna, G.,
      2009. Assessment of water quality index for the
      groundwater in Tumkur Taluk, Karnataka State, India.
      Journal of Chemistry 6(2) (2009), 523-530.
[9]   Sadat-Noori, S., Ebrahimi, K., Liaghat, A., 2014.
      Groundwater quality assessment using the Water
      Quality Index and GIS in Saveh-Nobaran aquifer,
      Iran. Environmental Earth Sciences 71(9), 3827-
      3843.
                                                        87
   The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                      Jointly held with
           th
     The 5 International Symposium on Conservation and Management of Tropical Lakes
                      “Insights and Challenges toward Achieving SDGs”
Thi An Hang Nguyen 1*, Thi Van Le 2, Keisuke Sato 1,2, and Ngoc Duy Vu 3
                   1
                    Vietnam Japan University, Vietnam National University, Hanoi, Luu Huu Phuoc St.,
                                         Nam Tu Liem Dist., Hanoi 101000, Vietnam
                          2
                            Graduate School of Science and Engineering, Ritsumeikan University,
                                      Biwako-Kusatsu Campus, Shiga 525-8577, Japan
            3
                University of Science (VNU-HUS), Vietnam National University, Hanoi, 334 Nguyen Trai Rd.,
                                         Thanh Xuan Dist., Hanoi 120106, Vietnam
                                        * Corresponding author : nta.hang@vju.ac.vn
Abstract
It is well recognized that high levels of phosphorus (P) in water bodies can cause eutrophication, adversely influencing the
aquatic life and ecosystem sustainability. Thus, the decontamination of P-rich wastewater before discharging it into the
surrounding environment is essential. This article investigates the feasibility of calcination of natural ferralsols to intensify
its adsorptive removal of P from aqueous solutions. First, the best calcination temperature was determined. Next, a
comparative study between the natural ferralsols (NF) and ferralsols calcined at the selected temperature (CF500) in terms
of both physicochemical properties and adsorptive behaviors was performed. Then, SEM, XRD, XRF, and FTIR analyses
were performed to clarify the effects of calcination. It was found that among three examined calcination temperatures,
500oC resulted in the highest P sorption capacity and most neutral pH value in the post-adsorption solution. CF500
produced by lab-scale furnace and commercial scale one were quite similar with respect to P binding capacity. CF500
exhibited better P sorption capacity and rate (19.38 mg/g and 0.23 min -1) than NF (12.09 mg/g and 0.12 min-1). Additionally,
CF500 possessed higher porosity (51%), more neutral pH H2O (6.18), lower organic matter (< 0.08%), lower available P (0.86
mg P2O5/100 g soil), higher Feoxalate (2.296 mg/g) and Aloxalate (2.167 mg/g) as compared to NF, which were considered to
favor the P retention ability of CF500. These findings were consistent with the changes in morphology, mineral and metal
oxide composition as well as the functional groups of NF after calcination. Due to simple procedure, significant
improvement in P treatment performance, and no secondary pollution, calcination can be a promising method for fabrication
of the P adsorbent from naturally occurring and locally abundant ferralsols. The favorable characteristics of CF500 enable
its actual application as the potential filter materials in constructed wetlands for purification of P-rich wastewater.
                                                           88
restricted by low P sorption capacity, thus requiring the     where Ci is the initial P concentration (mg/L), Ce is the
modification. Among several methods used for this purpose,    equilibrium P concentration (mg/L).
thermal treatment also known as calcination is preferred
because of its simplicity and lack of secondary pollution.            Ci - Ce
This study aims at improving the P sorption capacity of       qe =            xV                                   (Eq.2)
                                                                        m
natural ferralsols by calcination by (i) selection the best
calcination temperature, (ii) characterization of NF and      where qe is adsorption capacity at the equilibrium (mg/g);
CF500, and (iii) investigation of adsorptive behaviors of     Ci is the initial P concentration (mg/L); Ce is the
NF and CF500.                                                 equilibrium P concentration (mg/L); and m is the mass of
                                                              the adsorbent (g).
II. Materials and Methods
2.1. Sampling sites                                           III. Results and Discussion
    Collection of NF in Dak Nong province in Vietnam.
                                                              3.1. Calcination
2.2. Experimental set-up
    Calcination of NF was first done with lab-scale furnace   Table 1. Comparison of ferralsols before and after
at 3 types of temperatures (300, 500, and 700°C) to select    calcination at different temperatures
the best one, which will be applied to the commercial
                                                                 Materials          P adsorption           pH of post-
furnace.
                                                                                   capacity (mg/g)         adsorption
    NF and CF500 were investigated in aspects to
                                                                                                            solution
physicochemical properties and adsorptive behaviors
                                                                      NF                2.58                  6.05
according to the standard methods.
                                                                     CF300              3.83                  6.67
2.3. Analytical methods                                              CF500              4.68                  6.95
                                                                     CF700              4.25                  6.76
    NF and CF500 was characterized using analyses of
SEM (JSM-IT100, Jeol, Japan), XRD (Empyrean,                  3.2. Characterization
PANalytical, Netherlands), XRF (S4 Pioneer, BrukerE
AXS, Germany), and FTIR (FT/IR-4600typeA, Jasco,
                                                                     (a)                             (b)
Germany) at the VNU Key Laboratory of Advanced
Materials for Green Growth.
    Physicochemical properties of NF and CF500 were
analyzed at the Lab of Pedology and Soil Environment,
Faculty of Environmental Sciences (FES), VNU University
of Science (HUS) using the respective analysis methods of
TCVN 5979:2007, TCVN 8941:2011, TCVN 8941:2011,
TCVN 5256:2009, and oxalate extraction.                       Fig. 1. SEM observation of a) NF and b) CF500
    The concentrations of ortho-P in aqueous solutions
were measured according to Method 365.3 (EPA) using               It is demonstrated in Fig. 1 that calcination of NF
UV/Vis Diode Array Spectrophotometer (S2100 UV, Unico,        resulted in the porous structure on the surface of CF500
USA) at the wavelength number of 710 nm. The pH values        with much greater pore diameters, thus improving the P
were monitored with SevenCompact pH/Ion meter (S220-          sorption on CF500.
Kit, Mettler Toledo, China).
                                                              Table 2. Mineral composition of NF and CF500
2.3. Calculation
                                                                         Materials             NF (%)        CF500 (%)
                         (Ci - Ce)
Removal efficiency (%) =           x 100% (Eq.1)                         Kaolinite               37             81
                            Ci                                       Al2O3.2SiO2.2H2O
                                                        89
     Hematite, Fe2O3             5                 13                                   % limon        46.8         17.28
    Gibbsite, Al(OH)3            50                0                                    % clay        43.92          8.16
    Goethite, FeO(OH)            8                 6                 Total P            %P2O5          0.09          0.08
                                                                                       Mg P2O5/
                                                                  Available P                          3.44         0.86
   It can be seen from Table 2 that after calcination, the                             100 g soil
Gibbsite and Goethite in NF were mostly converted into              FeOxalate            g/kg         0.728         2.296
Kaolinite and Hematite, which were proven to favor P                AlOxalate            g/kg         0.848         2.167
sorption [1].
                                                                  Table 4 indicates that CF 500 resulted in the near
Table 3. Metal oxide composition of NF and CF500               neutral pH values, had extremely low contents of organic
                                                               matter, total P, available P but high levels of Feoxalate and
     Composition             NF (%)           CF500 (%)        Aloxalate. These enable its P elimination ability.
       Al2O3                  30.54             35.44
       Fe2O3                  21.83             22.92          3.2. Adsorption tests
        TiO2                   4.15              4.40          Influential factors
       Na2O                   <0.01             <0.01
        K 2O                   0.03              0.03
        CaO                    0.02              0.02
        MnO                    0.09              0.10
Physicochemical properties
                                                               Fig. 4. Effect of adsorbent dose on P sorption of a) NF and
                                                               b) CF500
Table 4. Physicochemical properties of NF and CF500
                                                                   In Fig. 4, the P adsorption capacity of NF and CF500
  Parameters            Unit           NF          CF500
                                                               reached the highest values at adsorbent dose of 1g/75 mL.
     pHH2O                -            5.14         6.18
                                                               Therefore, this will be used as the optimal adsorbent dose
 Organic matter          %             0.62        <0.08
                                                               for next experiments.
    Density            g/cm3           2.79         3.56
  Soil texture         % sand          9.28        74.56
                                                               Isotherm and kinetic studies
                                                          90
Table 5. Isotherm parameters for P sorption of NF and                 It is evident from Table 7 that the P sorption by CF500
CF500                                                              was spontaneous and feasible (△G <0), had endothermic
                                                                   nature (△H >0) with high affinity (△S >0) [4,5].
    Isotherm       Isotherm            NF             CF500
      model       parameters
   Langmuir        qm (mg/g)          12.09           19.38
                                                                   IV. Conclusion
                       KL             0.005           0.008            Calcination of raw ferralsols favored its P retention
                       R2             0.910           0.982        capacity. This was resulted from the changes in the surface
   Freundlich          n               1.91            2.35        morphology, functional groups, and mineral composition of
                       Kf              0.34            1.10        the material under high temperature. The optimal
                       R2             0.980           0.980        calcination temperature was 500°C. The P sorption on
                                                                   CF500 was characterized by mono-layer and chemisorption.
    Table 5 shows that CF500 (19.38 mg/g) exhibited a
significantly higher qmax value as compared to NF (12.09
                                                                   Acknowledgement
mg/g), suggesting that calcination was efficient in
enhancing P binding ability of NF. Langmuir model was                  This research was funded by Vietnam National
better in describing experimental isotherm data of CF500,          Foundation for Science and Technology Development
indicating that the P sorption by CF500 was mono-layer.
                                                                   (NAFOSTED) [grant number 105.99-2018.13, 2018]. We
Table 6. Kinetic parameters for P sorption of NF and               are thankful to the Japan International Cooperation Agency
CF500                                                              (JICA) for the financial support to attend the Conference.
                                                              91
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Saret Bun 1, Fumiyuki Nakajima 2, Tomohiro Tobino 3 and Pisut Painmanakul 4,*
            1
                Water and Environmental Engineering, Faculty of Hydrology and Water Resources Engineering,
                             Institute of Technology of Cambodia, Phnom Penh 12156, Cambodia
                      2
                        Environmental Science Center, The University of Tokyo, Tokyo 113-0033, Japan
                           3
                              Department of Urban Engineering, Graduate School of Engineering,
                                        The University of Tokyo, Tokyo 113-8656, Japan
                            4
                              Department of Environmental Engineering, Faculty of Engineering,
                                       Chulalongkorn University, Bangkok 10330, Thailand
                                              * Corresponding author: saret@itc.edu.kh
Abstract
    The objective of this work is to study the influence of operation parameters on ferrous iron oxidation kinetic under batch
conditions using enhanced aeration efficiency reactor, modified airlift reactor (MALR). It presented as a rectangular internal-
loop column for containing 6.6 litter total working volume. The influence of process conditions, i.e., initial pH (between 6.5
and 8.0), gas flow rate (between 0.5 and 2 L/min), initial ferrous iron concentration (3 and 20 mg/L), and insoluble ferric
hydroxide particle (between 0 and 20 mg/L) were investigated. As the result, iron oxidation is strongly dependent on pH
which emphasizes a good ability to maintain a constant pH of gas-liquid reactor such as MALR. Around neutral pH should
be considered for controlling iron oxidation reaction. For the study of different initial concentrations of ferrous iron, it
indicates that higher ferrous initial concentration (>10 mg/L), the kinetic constant was influenced by heterogeneous reaction.
Therefore, the kinetic constant values estimated are possibly exceed than the actual value as it is the combination of
homogeneous and heterogeneous reaction kinetic constants. It also found that dissolved oxygen supplied to an aeration system
has a pronounced effect on ferrous iron oxidation performance when it was provided in low condition, however, it does not
influent if excess amount of oxygen was provided or oxygen concentration reached the saturation. However, air flow rate may
not only significant impact only on dissolved oxygen level in diffused aerator, but also the hydrodynamic characteristics which
resulted in heterogeneous mechanism based on ferrous adsorption on ferric hydroxide particles. The study showed that the
rate of ferrous iron oxidation was significantly affected by the presence of ferric hydroxide and proportionally increased with
its concentration. Ferric hydroxide acts as an effective catalyst for the oxygenation. Heterogenous reaction occurred through
adsorption mechanism highlights the good mixing ability in multi-phase reactor including MALR. In practical aspect, this
effective catalyst can be enhanced by recirculating the ferric hydroxide particles from ferrous oxidation byproducts in a slurry
phase, consequently, possible saving on reactor size through the decreasing residence time.
                                                           92
I. Introduction                                                   II. Materials and Methods
    Groundwater is a key resource of drinking water. In           2.1. Experimental set-up
Cambodia, more than haft of the population relies heavily             MALR presented as a rectangular internal-loop column
on groundwater resources to deal with water shortages in dry      for containing 6.6 litter total working volume was used in
season when surface water is not available. Even it is looked     this study. Compressed air pump and nitrogen gas tank were
so clear and clean, some contaminants, i.e., iron, arsenic,       connected to rigid stone air spargers at the riser bottom of
fluoride, etc., are commonly found. Since it is often mildly      the reactor controlled by the mass flow meter, as shown in
acidic and devoid of dissolved oxygen, iron presents in           Fig. 1. A DO probe meter was installed in the middle of
groundwater mostly in a form of soluble ferrous iron [1]. Its     downcomer compartment for measuring dissolved oxygen
presence results an unpleasantness of taste in mouth and          concentration in aquatic solution. A pH meter was used to
anesthetic red or brown stains on clothes and sanitary            measure pH and temperature values in aquatic solution as
facilities or even foods. Therefore, the presence of iron         the gas separation zone. The samples were sampled from the
likely the most common water problem faced by consumers           gas separation zone of the reactor before preparing for
and water treatment operators [1]. A recommendation of            analysis. All experiments were conducted at the room
World Health Organization for maximum iron in drinking            temperature.
water is 0.3 mg/L as guideline in order to avoid aesthetic and
organoleptic problems. However, a range between 0.7 and
80 mg/L have been reported as a ferrous iron concentration
in groundwater [2]. Seriously, iron concentration in
groundwater of Cambodia up to 100 mg/L was documented
by RDI-Cambodia (2016) [3]. Consequently, removal of
iron from water is really necessary.
    Iron removal from water can be done through
physicochemical or biological process of a conventional
water treatment. Oxidation-precipitation process followed
by sedimentation or/and filtration is the most common
treatment pathway. Soluble iron (Fe2+) will be oxidized to
insoluble iron (Fe3+). Among all oxidation processes,
aeration process is usually considered for ferrous iron
oxidation in water with high concentration (higher than 5
mg/L) and it also could avoid costs on chemicals used.
    Based on technological application, water can be
saturated by oxygen through various ways, i.e., diffused
                                                                  Fig. 1. Experimental set-up of MALR for ferrous oxidation
aerator [4], orifice spay reactor [5], and open-air cascades or
trays [6]. In the last decade, gas-liquid reactors including
                                                                  2.2. Experimental procedure
bubble column and airlift reactors have been used as
                                                                      Experiment was carried out in the 6.6 liter working
diffused aerators for ferrous iron oxidation [1,2] and
                                                                  volume of MALR under semi-batch conditions at room
manganese oxidation [7] due to its benefits such as good
                                                                  temperature. The influence of process conditions, i.e., initial
mixing, low energy consumption, gas-liquid mass transfer,
                                                                  pH (between 6.5 and 8.0), gas flow rate (between 0.5 and 2
and pH control properties.
                                                                  L/min), initial ferrous iron concentration (3 and 20 mg/L),
    The objective of this work is to study the influence of
                                                                  and insoluble ferric hydroxide particle (between 0 and 20
operation parameters, i.e., ferrous initial concentration,
                                                                  mg/L). Values of pH, dissolved oxygen, and ferrous
initial pH, supplied gas flow, and additional ferric hydroxide
                                                                  concentration were measured along the time.
particles on ferrous iron oxidation kinetic under batch
                                                                      The synthetic waters were prepared by deoxygenated tap
conditions using Modified Airlift Reactor (MALR).
                                                                  water with ferrous sulphate. Nitrogen gas was used for
                                                                  reducing the initial oxygen concentration in tap water to less
                                                            93
than 1 mg/L and for mixing during the synthetic and pH                                                                    d [Fe2+ ]
                                                                                                                      -             ≈ k [Fe2+ ]                             (Eq.1)
adjustment. Diluted acid and base were prepared for pH                                                                       dt
adjustment in aquatic solution. For the effective study of
additional ferric hydroxide particles on ferrous oxidation,                               Fitting experimental result into Eq. (1), k values for each
ferric particle in sludge appearance was used. Ferrous                                condition can be estimated from the slopes of Fig. 2. The k
samples were recovered from the gas separator zone within                             values for initial pH 6.5, 7.0, and 8.0 are 0.013, 0.049, and
every 5 minutes for analysis. After sampling immediately, it                          0.291 min-1, respectively. In conclusion as practical aspect,
was mixed with HCl in order to limit future ferrous                                   iron oxidation is strongly dependent on pH which
oxidation; then, it was added 1,10-phenanthroline to react                            emphasizes a good ability to maintain a constant pH of gas-
with ferrous iron and resulted in a color. Last, its                                  liquid reactor such as MALR. Last, around neutral pH
concentration was measured by UV spectrophotometer.                                   should be considered for controlling iron oxidation reaction.
[Fe2+Z]/[Fe2+]0
                     0.1
                                                   y = 1.028e-0.049x
                                                                                                            0.1
                                                      R² = 0.993
                                                                                                                               y = 0.98e-0.08x
                                                      Initial pH = 6.5                                                           R² = 0.99
                                                                                                                                                          y = 1.03e-0.05x
                               y = 1.061e-0.291x      Initial pH = 7.0                                                                                      R² = 0.99
                                  R² = 0.997          Initial pH = 8.0                                                [Fe(III)]o ~ 3 mg/L
              0.01                                                                                                    [Fe(II)]o ~ 10 mg/L
                           0          20               40                   60                                        [Fe(II)]o ~ 20 mg/L
                                                                                                   0.01
                                      Time [min]                                                                  0                20                40                     60
Fig. 2. Semi-logarithmic plot of ferrous iron concentration                                                                             Time [min]
     with aeration time in function of initial pH value                               Fig. 3. Semi-logarithmic plot of ferrous iron concentration
                                                                                        with aeration time in function of initial concentration
                                                                                 94
     Consequently, higher concentration of ferrous iron must                      In order to investigate the other constants of Eq. (2), the
particularly drop aquatic pH value than lower ones along the                  additional experiments will be examined for validating the
same aeration time, followed ferrous oxidation                                proposed expression. A study of additional ferric hydroxide
stoichiometry equation. Lower aquatic pH surely resulted in                   particles dispersed in the system will be analyzed in order to
lower oxidation performance as higher pH could faster                         clarify heterogeneous reaction. Moreover, since the effect of
oxidize ferrous iron as aforementioned. Even increasing                       ferric iron particles was occurred through adsorption of
initial concentration of ferrous iron could not enhance its                   ferrous iron on surface of iron particle, liquid flow pattern as
conversion yield due to the strong effect of aquatic pH, it                   well as recirculating ferric particles should be considered.
was confirmed in many researches that iron oxidation                          Therefore, different gas flow rates will be investigated in
byproducts, ferric iron has a contribution on ferrous                         order to study not only the effect of oxygen distribution on
oxidation rate through catalytic effect as a heterogeneous                    ferrous oxidation through homogeneous reaction, but also
mechanism which allows ferrous iron adsorption on ferric                      effect mixing condition on ferrous removal through
hydroxide particles together with homogeneous mechanism.                      heterogeneous reaction.
                                                                         95
flow, an extensive difference can be remarkable at the first                                  1
                                                                                                                             [Fe(OH)3] ~ 0 mg/L
10-30 minutes after aerating from a very low concentration.                                                                  [Fe(OH)3] ~ 10 mg/L
This time step is the log yield period for ferrous oxidation as                                                              [Fe(OH)3] ~ 20 mg/L
well. Between this time range, the dissolved oxygen might
                                                                            [Fe2+] [mg/L]
not yet sufficient for oxidizing ferrous iron, consequently,
higher air flow resulted in faster oxidation yield compared                                                                       y = 0.8964e-0.0749x
                                                                                             0.1                                     R² = 0.9934
to the lower ones. This finding is in a good confirmation with
M. Ghosh (1962) [8], who found that dissolved oxygen
supplied for aeration does have a significant influence on                                             y = 0.7429e-0.1269x
                                                                                                          R² = 0.9675
ferrous oxidation reaction kinetics at certain amount. Other                                                                      y = 0.8116e-0.0996x
                                                                                                                                     R² = 0.9810
possible pathway is influence of mixing behaviors on
heterogeneous reaction. Using initial concentration of                                      0.01
                                                                                                   0     10          20         30        40            50
ferrous iron 10 mg/L may result in a catalytic effect of ferric
                                                                                                                   Time [min]
hydroxide particles roleplay as an adsorbent for ferrous iron
                                                                      Fig. 6. Semi-logarithmic plot of ferrous iron concentration
adsorption as found in previous section. Therefore, higher
                                                                      with aeration time in function of ferric hydroxide addition
slurry mixing characteristic could advance better adsorption
performance resulted a faster ferrous removal.
                                                                          For aquatic pH value 6.76 ± 0.18, the k cat values at
                                                                      different additional ferric hydroxide particles were
3.4. Effect of additional Fe(OH)3 particles
                                                                      estimated. The k1 and k2 constants could be calculated for a
    Prepared ferric hydroxide concentration between 0 and
                                                                      certain process condition, as written in Eq. (4).
20 mg/L were added into the ferrous iron water sample. In
order to obtain a constant concentration of ferric hydroxide
in the process, 5 mg/L of ferrous initial concentration was                 d [Fe2+ ]
                                                                        -             = (0.0745 + 0.0026 [Fe3+ ]) [Fe2+ ]                               (Eq.4)
selected as this level was expected that there is no significant               dt
influence of autocatalytic effect caused by ferric iron
precipitated from ferrous oxidation [1]. Therefore, kinetic           IV. Conclusion
equation can be written as Eq. (3).                                        The present part aims to study the influence of process
                                                                      conditions on ferrous iron oxidation kinetic under batch
     d [Fe2+ ]                                                        conditions of MALR. Iron oxidation is strongly dependent
 -             = (k1 + k2 [Fe3+ ]) [Fe2+ ] = kcat [Fe2+ ]   (Eq.3)    on pH which emphasizes a good ability to maintain a
        dt
                                                                      constant pH of gas-liquid reactor such as MALR. Around
    Experimental results from semi-batch condition with gas           neutral pH should be considered for controlling iron
flow 2 L/min were reported in Fig. 6. Result indicates that           oxidation reaction. For different initial concentrations of
higher additional concentration of ferric hydroxide increases         ferrous iron, it indicates that higher ferrous initial
ferrous oxidation yield. Aeration time to achieve more than           concentration (>10 mg/L), kinetic constant was influenced
90% removal efficiency when adding ferric hydroxide                   by heterogeneous reaction. Therefore, the kinetic constant
concentration 0, 10, and 20 mg/L are 30, 22, and 17 minutes,          values estimated are possibly exceed than the actual value as
respectively. To remove ferrous iron from 0.3 mg/L to < 0.3           it is the combination of homogeneous and heterogeneous
mg/L, adding 20 mg/L of ferric hydroxide could decrease               reaction kinetic constants. It also found that dissolved
aeration time almost two times, from 40 to 22 minutes                 oxygen supplied to an aeration system has a pronounced
compared to non-additional condition. Aquatic pH                      effect on ferrous iron oxidation performance when it was
decreased while increase additional ferric hydroxide,                 provided in low condition, however, it does not influent if
however, the kinetic constant increased with ferric                   excess amount of oxygen was provided or oxygen
hydroxide additional. It means that the rate of ferrous iron          concentration reached the saturation. However, air flow rate
oxidation was significantly affected by the presence of ferric        may not only significant impact only on dissolved oxygen
hydroxide and increased with its concentration.                       level in diffused aerator, but also the hydrodynamic
                                                                      characteristics which resulted in heterogeneous mechanism
                                                                 96
based on ferrous adsorption on ferric hydroxide particles.      [8]   Ghosh, M. 1962. A study of the rate of oxidation of
    The study showed that the rate of ferrous iron oxidation          iron in aerated ground waters. Sanitary Engineering
was significantly affected by the presence of ferric                  Series 012.
hydroxide and proportionally increased with its
concentration. Ferric hydroxide acts as an effective catalyst
for the oxygenation. Heterogenous reaction occurred
through adsorption mechanism highlights the good mixing
ability in multi-phase reactor including MALR. In practical
aspect, this effective catalyst can be enhanced by
recirculating the ferric hydroxide particles from ferrous
oxidation byproducts in slurry phase, consequently, possible
saving on reactor size through decreasing residence time.
Acknowledgement
    This research has been supported by AUN/SEED-Net
Program of JICA through Collaborative Research. Authors
also acknowledge Project for Strengthening Engineering
Education and Research for Industrial Development in
Cambodia of JICA through LBE Research Grant.
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[2]   Stiriba, Y., Gourich, B., and Vial, C. 2017.
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[3]   RDI-Cambodia. (2016). Summary of Groundwater
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[4]   Roustan, M. 2003. Transferts gaz-liquide dans les
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[5]   Klein, D. B., and Neufeld, R. D. 2005. Use of a
      multiple orifice spray reactor to accelerate ferrous
      iron oxidation in acidic mine water. Mine Water and
      the Environment 24(4), 186-193.
[6]   Rathinakumar, V., Dhinakaran, G., and Suribabu, C.
      2014. Assessment of aeration capacity of stepped
      cascade system for selected geometry. International
      Journal of ChemTech Research 6(1), 254-262.
[7]   Kouzbour, S., et al. 2017. Removal of manganese (II)
      from drinking water by aeration process using an
      airlift reactor. Journal of water process engineering
      16, 233-239.
                                                          97
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
                       1
                         Water and Environmental Engineering, Institute of Technology of Cambodia,
                            Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
                             2
                               SUDrain, Impact Hub Phnom Penh, St 306 #17, Phnom Penh, Cambodia
                                         3
                                           Faculty of Chemical and Food Engineering,
               Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, Phnom Penh, Cambodia.
                                        *Correspoding author: chendalai7@gmail.com
Abstract
    The system using coconut fiber as filter media (CFFM) was developed for wastewater treatment in this study. The aim of
this experiment is overall to estimate the efficiency of CFFM with various media ratios and hydraulic retention time (HRT)
for wastewater pollutant reduction. Two reactor tanks were designed with 14cm3 and complied with low media ratio (LMR
V/V=15%) and high media ratio (HMR V/V =30%). All parameters were measured after treated 24 hours, 3 days, 1 week, 2
weeks, and 4 weeks called Phase-1, and the process was repeated in Phase-2 using the old media from Phase-1. Nutrient
compositions such as NO3-, NH4+, SO42-, and PO43- were determined by IC while heavy metals were determined by ASS. The
results showed that HMR had no significant effect on the removal while the volume increased 2 times (15%-30%). It is noticed
that LMR of V/V=15% with 2 x 2 cm and 0. 19g/cm3 density was a good condition for this wastewater pollutant load. The
percentage removals of COD, Cu, Cd, NO3-, NH4+, andSO42- were only slightly increased between 1 day and 3 days of HRT
but it showed a remarkable change at 1week of HRT with 7.2% (SO42-) minimum and 25 % maximum (COD) of increasing.
The maximum removal of COD in Phase-1 was 78.01% and 93.68% in Phase-2 while Cu was considered as the highest (about
80%) among heavy metals. Besides that, SO42- was the best removal (81.25%) of nutrient compositions, whereas Fe was the
lowest one among all studied parameters. It was proved that the removals were related to the HRT; however, 1week of HRT
is the better choice for pollutants reduction in terms of efficiency, time, and space-saving.
                                                         98
                                                                                                         24h, 3 days, 1 week,
     The aim of this study is to evaluate the efficiency of        HRT                        -
                                                                                                          2 weeks, 4 weeks
coconut fiber for wastewater pollutant reduction, whereas
                                                                                              3
two specific objectives are taken into account: (1) designing,     Flow rate               cm /h           24h HRT: 500
and (2) optimizing lab-scale of wastewater treatment (WWT)
using biological filter from recycling coconut waste as a        2.3. Analytical methods
filter media and evaluating the efficient removal of             2.3.1. pH, Temperature, EC, and Turbidity
wastewater treatment utilizing coconut fiber in different            pH and EC were measured using pH meter HM-30P and
media ratios (MRs) and hydraulic retention times (HRTs).         EC meter(hold) respectively while Turbidity was measured
                                                                 with Turbidity meter model HI98703.
II. Materials and Methods
2.1. Sampling Sites                                              2.3.2. Total Suspended Solid
    Wastewater was collected from the wastewater                      Cellulose Nitrate Filter Papers with pore size 0.45µm
treatment system at Phnom Penh Special Economic Zone.            were used to separate liquid and solid following the method
The wastes are mainly from the small medium enterprises          2540 of Eaton et al. (2005). The formula for TSS calculation
(SME) and factories in that zone.                                was followed as in Eq. 1 below
                                                           99
                                                                                                           100
need to be filtered to remove particles larger than 0.45µm
                                                                                                                              Blank-1
                                                                                                               90
before analysis (Eaton, 2017).                                                                                                LMR-1
                                                                                                               80             HMR-1
                                                                                                               70
                                                                                        % Removal of COD
III. Results and Discussion
                                                                                                               60
50
Table 2. 20
10
                                                                                                  40
  Cu               ppm       2.90 ± 0.14        <0.2
                                                                                                  30
  Fe               ppm       0.13 ± 0 .033      <1.0
                                                                                                  20
  Pb               ppm       2.66 ± 0.32        <0.1                                              10
3.1. Evaluation of Treatment Performance in Phase-1            3.2. Summary                                                 of All      Percentage       Removals        and
and Effect of Media Ratio                                            Parameters Comparatives
     The removal efficiency of COD (Fig.5.) indicates that         Turbidity in Phase-1 provided the best removal in terms
in 1 day of treatment the percentage removal started from      of the physical parameters in LMR-1 condition which
40.18% of LMR and 41.63% of HMR. It is not a significant       showed the maximum reduction of about 98% at 4 weeks
difference between LMR and HMR. Dharmarathne et al.            HRT. The performance was the same in LMR-2 condition.
(2013b) also reported that HFD (high fiber density) and LFD    However, in terms of chemical parameters, Cu was the best
(low fiber density) treatment tank showed a very parallel      parameter in LMR-1, whereas COD was the best one for
trend in the COD removal [5]. The removal of COD is            LMR-2. Irons provided the lowest removal among all heavy
related to the biofilm which grows on the surface of media.    metals in both phases while PO43- was the lowest one in
                                                               terms of nutrient compositions.
                                                         100
                      100                                                    Turb       removal of COD in Phase-1 was 78.01% and 93.68% in
                                                                             TSS
                       90                                                    Cu
                                                                                        Phase-2, whereas Fe was the lowest removal among all
                       80                                                    COD        studied parameters. This study is beneficial for the further
% Removal for LMR-1
                                                                             SO42-
                       70
                                                                             Cd
                                                                                        research as it provided the data of treatment by using
                       60                                                    NO3-       coconut fiber which is the low-cost materials as the filter
                       50                                                    Pb         media.
                                                                             NH4+
                       40
                                                                             PO43-
                       30                                                    Fe         ACKNOWLEDGMENTS
                       20
                       10
                                                                                            This research was financially supported by AFD-EU;
                        0
                                                                                        laboratory support by SATREPS lab, Ministry of
                            1 day   3 days 1 week 2 weeks 3 weeks 4 weeks               Environment lab, Phnom Penh Special Economic Zone.
                                                HRT
                                                                            Cu
                       70
                                                                            SO42-       [2]      Islam, T., Islam, S., Saifullah, I., Datta, D., &
                       60                                                   Cd
                                                                                                 Ahmed, A. (2017). Suitability of Recycled Coconut
                       50                                                   Pb
                                                                            NH4+                 Fiber as Filter Media for the Treatment of
                       40
                       30
                                                                            PO43-                Wastewater. Proceedings of 5th International
                                                                            Fe
                       20
                                                                                                 Conference on Solid Waste Management in the
                       10
                                                                                                 Developing Countries, Wastesafe-2017, Khulna,
                       0                                                                         Bangladesh.
                            1 day   3 days 1 week 2 weeks 3 weeks 4 weeks
                                                                                        [3]      Sagar, S. S., Chavan, R. P., Patil, C. L., Shinde, D.
                                                HRT                                              N., & Kekane, S. S. (2015). Physico-chemical
                                                                                                 parameters       for    testing      of      water-A
                            Fig.5. % Removal in all condition for HMR-1                          review. International Journal of Chemical
                                                                                                 Studies, 3(4): 24-28.
    The summary of percentage removals in both phases of                                [4]      Sato, N. (2017). Microcosm Experiments on a
HMRs were shown in Fig. 5. Cu was the best element                                               Coconut-Fibre Biofilm Treatment System to
among chemical parameters in HMR-1, whereas COD                                                  Evaluate Waste Water Treatment Efficiencies. S.,
became the best for HMR-2 with maximum removal of                                                Garg, N., & Paudel, R. (2014). Environmental
91.68%. It was also observed that there was no difference                                        Degradation: Causes and Consequences. European
between HMR and LMR on the iron performances which                                               Researcher, 81, 1491.
provided the lowest removal among heavy metals                                          [5]      Dharmarathne, N., Sato, N., Kawamoto, K., Sato,
parameters while PO43- was the lowest one among nutrient                                         H., & Tanaka, N. (2013, November 1). Evaluation
compositions.                                                                                    of Wastewater Treatment Efficiency Using Coconut
                                                                                                 Fiber Biofilm Reactor System with Synthetic
IV. CONCLUSIONS                                                                                  Leachate.
                                                                                  101
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
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      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
    Ultra-violet (UV) filters are pollutants of arising concern due to its persistence in water environment. In previous
researches, UV filters have been reported in pristine coral environment in Okinawa, Japan. The main objective of this research
is to review the spatiotemporal variation of 12 of the 16 UV filters, categorized as 3 groups by the Food and Drug
Administration (FDA) on the Act to Modernize the Regulation of Sunscreen Products in the United States proposed in 2019.
The target area is the Japanese coral reef environment in Ryukyu Trench, Ryukyu Islands, and Okinawa trough, for
highlighting its toxicological and bioaccumulating impacts on coral reefs ecosystems. The web of science database from 2000
to 2020 was searched with the key words: anthropogenic activities, persistent organic pollutants, sunscreens, UV filters, UV
protection, sunblock, UV stabilizer, coral, Japan, and Okinawa. Most of the studies agreed that organic UV filters such as
oxybenzone, octinoxate or octocrylene significantly degrade the water quality, which may have potential risk to coral
ecosystems. In addition, the wide spread of UV filters has shown a perceivable presence in some Okinawa beaches, containing
around 1.4 µg/L oxybenzone during summer season. Nevertheless, oxybenzone at some reef sites have been found to be
around 0.01 µg/L which is almost 500 times lower than the LC50 range of 5.4 to 14.5 µg/ for Acropora cervicornis larvae.
More toxicological and bioaccumulate studies on coral reef bleaching by UV filters have to be performed to support this
statement and re-evaluate their ecological risks in coral reef ecosystems at different season and complex environmental
exposure.
                                                         102
  thousands of tourists each year with Okinawa islands being        These are substances with almost null absorption of visible
  the most visited one. Coral reefs around the main island in       radiation but important light absorption in the UVA (315-
  Okinawa is located a few meters off the coast.                    400nm) and UVB (280-315nm) [7], moreover, regarding
      Several activities such as scuba diving and snorkeling are    their mechanism of action, can be classified into organic
  popular and it attracts tourists to discover the beauty of the    (chemical) absorbers and inorganic (physical) blockers.
  Japanese coral reefs. According to the tourism minister of             A detailed sunscreen classification has been done by the
  Japan, in 2017 over 9 million people visited Okinawa and          FDA (Food and Drugs Administration) in 2019 in the United
  the trend tends to increase year by year possibly to 12           States, where sunscreen products for over-the-counter
  million people by 2021 [2]. However, there are several            human use are classified in three main categories called
  environmental issues to face as the tourism is expanding          GRASE (Generally Recognized as Safe and Effective).
  such as coastal development and construction, land                    The main objective of this research is to review the
  reclamation and degradation of coral reefs.                       spatiotemporal variation of 12 of the 16 UV filters
                                                                    (Avobenzone, Cinoxate, Dioxybenzone, Ensulizole,
                                                                    Homosalate,      Meradimate,       Octinoxate,     Octisalate,
                                                                    Octocrylene, Oxybenzone, Padimate O, Sulisobenzone),
                                                                    categorized as 3 groups by the FDA on the Act to Modernize
                                                                    the Regulation of Sunscreen Products in the United States
                                                                    proposed in 2019.
                                                                    II. Methodology
                                                                         We conducted this review using the web of science,
                                                                    filtering data from 2000 to 2020 using the keywords:
                                                                    anthropogenic activities, persistent organic pollutants,
                                                                    sunscreens, UV filters, UV protection, sunblock, UV
Fig. 1. Japanese coral reefs. Provided by Marine Biotic             stabilizer, coral, Japan, and Okinawa.
   Environment Survey.                                                   From this screening process, 40 different articles were
                                                                    identified to highlight the presence of persistent organic
      Coral reefs declining has been reported in the 1980’s
                                                                    pollutants in Japanese marine environment. Nevertheless,
  where approximately 40% of the coral bleached and 10%
                                                                    just 2 of them reported concentrations and affectations in
  died in Sesoko and Okinawa Island [1]. The main stressors
                                                                    Japanese coral reefs by sunscreen UV filters [5,6].
  that influence in coral bleaching are solar irradiance, global                               • UV filters, UV
  warming and anthropogenic activities like municipal and                        Data base       protection,
                                                                                                 sunblock, UV
  industrial wastewater effluent and micro-pollution.                            searching       stabilizer,
                                                                                 key words       coral, Japan, • 40 articles
      Micropollutants directly and indirectly enter the aquatic                                  and Okinawa about the
                                                                                                                 presence of
  environment via industrial or municipal wastewater                                                             persistent
                                                                                                                 organic
  effluents, stormwater runoff, or recreational activities.                                  Screening           pollutants in
                                                                                              process            Japanese
  Several studies have focused on the ecotoxicological effects                                                   marine
                                                                                                                 environment
                                                                                                                                 • 2 articles just
                                                                                                                                   addressed
  of sunscreen pollutants in marine biodiversity, proving the                                                    .                 the
                                                                                                                                   problematic
  presence of Oxybenzone (BP-3) in Scrobicularia plana, an                                                       Final             about the
                                                                                                                                   sunscreen
  indicator species for assessing the health statues of estuarine                                              screening           pollutants in
                                                                                                                                   Japanese
  and coastal ecosystems [3]. Furthermore, in situ and                                                                             coral reefs
  laboratory experiments in several tropical regions have                  Fig. 2. Screening process of literature review.
  shown coral bleaching of communities, such as
  Zooxanthella, where the organic ultraviolet filters induce the    III. Results
  lytic viral cycle with latent infections [4].                     3.1. UV filters presence in coral reefs in Okinawa
      UV-filters are widely popular to offer protection to              Prefecture
  human skin against deleterious effects of UV radiation.               High level of organic pollutants (Organo-tin compounds
                                                             103
(OTCs),       organochlorine      pesticides   (OCPs)      and    Oxybenzone were detected in coral tissue from three
polychlorinated biphenyls (PCBs) were detected in surface         important tourist sports at Oahu island (Ka’a’awa, Waikiki
water and sediments of some rivers and coastal waters of          beach and Kaneohe Bay). The detection frequencies of the
Okinawa [6]. OTCs were found at considerable                      four chemicals were 100%, 100%, 96% and 82%, showing
concentrations in sediments that could be a possible threat       a the presence of those compounds in Hawaiian coral reefs.
to marine life including coral communities around Okinawa             In this same study [10], eight different UV filters were
Island. This study refers to a large number of chemical           detected in marine environments, especially in Kaneohe bay,
groups and non-sunscreen chemical was detected or                 where the concentration of BP-3 was higher before water-
consider in this study. Nevertheless, this study set the ball     users arrived at this site, than later in the morning after
rolling for further investigations and monitoring of coral reef   people arrived. The first sample at 8am contained 6.6 ± 0.7
ecosystem to elucidate the effects of toxic organic pollutants    ng/L BP-3 and 2.8 ± 0.1 ng/L of OC, then around 10 am and
on the subtropical marine life around Okinawa Island.             with more than 120 people around the coral reefs another
    Yutaka Tashiro performed a constant sampling once a           sample was taken showing an increased to 27.0± 18.4 ng/L
month in Okinawa main Island for analyzing the occurrence         and 23.6 ± 19.0 ng/L, respectively [10], assuming that
of UVFs and UVLs in seawater [5]. The results varied due          sunscreen primary source in coastal water is due to the
to the fact that the distribution of the chemical in the beach    increased of swimmers around the area, causing different
water is not uniform and is strongly affected by water            fluctuations in the final exposure in coral reefs.
movement. The maximum concentration of BP-3 (1.34 µg/L)               The two research articles from the Okinawa prefecture
detected at Sunset beach in July was one fifth of its PNEC        are considered the pioneers for addressing the environmental
value (6 µg/L). In fact, the concentration of UV chemicals at     impacts of sunscreen pollutants this field in Japan. More
the reefs were much lower that the estimated lethal               research has to be performed based on the UV filters are the
concentration, however it was suggested that more studies         most consumed in the Japanese sunscreen market. It can be
over the range of concentrations detected and exposure time       inferred that, according the investigations addressed in this
are strongly necessary to prevent impact in coral ecosystems.     review paper, the main impacts of chemical filters are
In this same investigation, the wide spread of UV filters has     bleaching of hard corals, damage of coral larvae, and
shown a perceivable presence in some Okinawa most visited         possible biomagnification and bioaccumulation issues.
beaches, containing around 1.4 µg/L oxybenzone during                 Coral bleaching in Okinawa prefecture have occurred
summer season. Nevertheless, oxybenzone at some reef sites        before in 1998, 2001, 2008 and recently 2016 [12]. The
have been found to be around 0.01 µg/L which is almost 500        Ministry of the Environment Government of Japan have
times lower than the LC50 range of 5.4 µg/L to 14.5 µg/L          reported that in 2016 in Sekisei Lagoon around 90% of the
for Acropora cervicornis larvae.                                  reef presented damage from coral beaching, including 70%
                                                                  that died by the bleaching phenomenon” [12]. Several
IV. Discussion                                                    investigations on Japanese coral reefs damage have been
4.1. Importance of UV filters                                     shown that temperature rising and ocean acidification are the
    Based on the production and consumption of cosmetic           main factors leading to the stress and decline of the coral
sun products, commonly people applied around 65-130mg             communities. Nevertheless, Persistent Organic Pollutants
of sunscreen each time. In Germany, annually 7,900 tons of        such as sunscreen UV filters in Japanese coral reefs can
sunscreen are consumed assuming that 20,000 tons are              contribute to the bleaching problem.
released in the northern Mediterranean [9]. According to              As the consumption of this products increases, the
some estimations, 10% of the sunscreens produced in the           concern about the possible repercussions of UV filters in the
world are normally used in tropical areas with coral reefs [9].   environment raises up. Japanese cultural background about
Nevertheless, this statement was done in 2004, and based on       skin protection is an influential factor to consider in the
the gradual increase of sunscreen products sales, the amount      consumption, especially when the skin beauty is important
of these chemicals entering to the environment is unknown.        for some sectors of the society. The cultural background and
    A novel report [10] was released in 2019 in Hawaii,           the desire for a white and spot free skin is coming from the
where UV-filters were reported in coral tissue in Hawaiian        Bihaku or skin whitening culture which is a common
coral reefs. Octinoxate, Homosalate, Octocrylene and              practice by the majority of the Japanese woman. Bihaku
                                                           104
products sales have been increased gradually year by year              clam Scrobicularia plana. Science of The Total
generated revenue of around 62 billion ¥ in 2018 [14].                 Environment, 733, 139102.
Pharmaceutical industries find the Japanese skin care market    [4]    Danovaro, R., Bongiorni, L., Corinaldesi, C.,
as reliable and demanding.                                             Giovannelli, D., Damiani, E., & Astolfi, P. et al., 2008.
                                                                       Sunscreens Cause Coral Bleaching by Promoting
V. Conclusion                                                          Viral Infections. Environmental Health Perspectives,
    Although Oxybenzone was found in Okinawa corals                    116(4), 441-447.
with a concentration of 1.4 µg/L, the potential harm for        [5]    Tashiro, Y., & Kameda, Y. 2013., Concentration of
larvae species such as Acropora cervicornis is lower than the          organic sun-blocking agents in seawater of beaches
LC50 range. However, further investigations should be done             and coral reefs of Okinawa Island, Japan. Marine
to prove potential ecotoxicological risks by prolonged                 Pollution Bulletin, 77(1-2), 333-340.
exposure of UV filters under real conditions, to refuse or      [6]    Imo, S., Sheikh, M., Sawano, K., Fujimura, H., &
affirm, any affectation to the coral ecosystem. The main               Oomori, T. 2008,. Distribution and Possible Impacts
motivation to elaborate this review paper is to highlight              of Toxic Organic Pollutants on Coral Reef
investigations and actions other countries are taking already          Ecosystems around Okinawa Island, Japan. Pacific
to face coral declining, and review the presence of 12                 Science, 62(3), 317-326.
sunscreen chemicals stated in the FDA list published in 2019.   [7]    Giokas, D., Salvador, A., & Chisvert, A. 2007., UV
    Probable data of the presence of sunscreen chemicals in            filters: From sunscreens to human body and the
Japanese coral reefs will bring more investigations to this            environment. Trac Trends In Analytical Chemistry,
field and consequently find alternatives to mitigate any               26(5), 360-374.
potential risk. Spatial-temporal variation of UV filters in     [8]    Tsui, M., Leung, H., Wai, T., Yamashita, N., Taniyasu,
Japanese marine environment and ecotoxicological studies               S., & Liu, W. et al. 2014., Occurrence, distribution
in coral reef biota, are necessary to know the affectation of          and ecological risk assessment of multiple classes of
sunscreen chemicals in coral ecosystems.                               UV filters in surface waters from different countries.
                                                                       Water Research, 67, 55-65.
Acknowledgement                                                 [9]    Danovaro, R., & Corinaldesi, C. 2003., Sunscreen
                                                                       Products Increase Virus Production Through
   Authors would like to express gratitude to Asia-Pacific
                                                                       Prophage Induction in Marine Bacterioplankton.
Network for Global Change Research for funding this                    Microbial Ecology, 45(2), 109-118.
project - "Collaborative Research Platform to Manage Risk       [10]   Mitchelmore, C., He, K., Gonsior, M., Hain, E.,
and Enhance Resilience of Coral Reef in Southeast Asia,                Heyes, A., & Clark, C. et al. (2019). Occurrence and
CRRP2019-08MY-Khanal".                                                 distribution of UV-filters and other anthropogenic
                                                                       contaminants in coastal surface water, sediment, and
References                                                             coral tissue from Hawaii. Science Of The Total
[1]    Nakano Y (2004) Index map for Chapter 6. In:                    Environment, 670, 398-410.
       Tsuchiya M, Nadaoka K, Kayanne H, Yamano H (eds)         [11]   Schaap, I., & Slijkerman, D. 2018., An
       Coral reefs of Japan. Ministry of the Environment,              environmental risk assessment of three organic UV-
       Tokyo, pp 155.                                                  filters at Lac Bay, Bonaire, Southern Caribbean.
[2]    The Japan times., 2018. Okinawa Tourist Numbers                 Marine Pollution Bulletin, 135, 490-495.
       Top Those of Hawaii For First Time:                      [12]   Kayanne, H., Suzuki, R., Liu, G. 2017., Bleaching in
       https://www.japantimes.co.jp/news/2018/02/09/nati               the Ryukyu Islands in 2016 and associated Degree
       onal/okinawa-tourist-numbers-top-hawaii-first-time/.            Heating Week threshold., Journal Of Coral Reef
       Accessed 16 December 2020.                                      Studies, 19(1), 17-18.
[3]    O'Donovan, S., Mestre, N., Abel, S., Fonseca, T.,        [13]   Tokyoesque (2017)., Beauty, Grooming & Skincare
       Carteny, C., Willems, T., Prinsen, E., Cormier, B.,             Market in Japan. https://tokyoesque.com/industries-
       Keiter, S. and Bebianno, M., 2020. Effects of the UV            japan-market/skincare-market-in-japan/. Accessed
       filter, oxybenzone, adsorbed to microplastics in the            24 November 2020.
                                                         105
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
   Prediction of Future Land Use Change in the basin of Tonle Sap Lake Using Scenario
                                  Analysis in CLUMondo
Abstract
    Land-Use and Land-Cover (LULC) is an important factor for maintaining healthy ecosystem. The change
in LULC responses to different socio-ecological system and regime shifts. Due to the significant change of LULC in Tonle
Sap Lake (TSL) of Cambodia in last decade, it puts more concern on the consequence impacts to the surrounding environment
while it lacks of scientific study on how LULC in this area will be change in the future. The aim of this study is to assess the
future land use change in the basin of TSL using CLUMondo model over the period 2015-2045 based on the recent land use
update. Four scenarios were simulated based on the government policy and commitment: The Economic Land Concession
scenario, the Moderate Conservation scenario, the Conservation scenario, and the SDG-2030 scenario. All scenarios show an
increase in the urban area, annual crop, wood plantation, and agricultural land while the flooded forest remain constant. The
economic land concession or business as usual scenario cause highly change of LULC. Particularly, until 2045, the forest
cover in the basin of TSL will change differently from each scenario which are -10%, -8%, -6%, -6% for ELC, Moderate
Conservation, Conservation and SDG-2030 respectively. The shifting cultivation declines dramatically and will all disappear
by 2030 for all scenarios while grassland will be completely transferred to annual crop, wood plantation, urban area, and
agricultural land by 2045 to compensate the need of land for food production in the scenario of conservation and
SDG2030. The result of this study can guide and support future land use planning, management, and policy formulation in
the basin of TSL.
I. Introduction                                                   where the fluvial water flows in two directions during the
    Land use and land cover change is an important factor in      year as a result of the rain season. This interesting catchment
the study of environmental change [1]. Land use is thus a         is influenced by the surrounding environment where land
central component of biophysical, social, and economic            use changes impact the hydrological processes such as
systems acting across various scales. Therefore, the study of     surface runoff generation, groundwater recharge and soil
land use and land cover change becomes very important to          erosion. However, some studies have assessed the land cover
address the environmental issues.                                 but not the prediction for the future change. The study on the
    The basin of the Tonlé Sap Lake (TSL) is a unique basin       drivers of deforestation and agricultural transformations in
                                                          106
the Northwestern uplands of Cambodia by analyzing                  wood production, subsistence crop, and built-up area. The
historical rejection of land use/ cover changes using a            driving factor indicate the factors that can affect land use
chronological series of Landsat data and the investigated          change. In this report, these driving factors were
of land cover and land use Change in Stung Chrey Bak               characterized into 4 categories included, Climate,
Catchment [3,4]. Recently, there are many studies have been        Socioeconomic, Soil type, and Topographic. We estimate the
conduct on the impact of land use change on water supply           conversion order base on the realities of land use services
for the Angkor temple and the surrounding population and           with the land use types. The conversion order is a technical
the impact of land use and climate change on water resources       parameter that tells the model how to change land use to
and remand in Srepok River Basin [5,6]. The objective of           fulfill demand while, the values that do not supply a good or
this paper is to systematically study of land use change with      service get a 0, and all land-uses that do supply a good or
different changing scenarios using CLUMondo model over             service get a value from 1 onwards.
Tonle Sap basin. This study is intended to integrate together
ArcMap (GIS) and CLUMondo model approach to identify
a change in land use pattern in the basin of Tonle Sap Lake
during 2015 to 2045.
II. Materials and Methods
2.1. Study area
    The area of the basin of Tonle Sap Lake is located in the
northwest of Cambodia ( 102°00’-106°00’ E, 11°30’-14°30’
N), with a total land area of 81,372 Km2. The basin consists
of the Tonle Sap lake and 12 sub-basin which covered on 10
provinces [7]. The average annual rainfall is from 1000-
1500mm with, the daily mean temperatures between 21-
25 °C (minimum) and 30-35 °C (maximum). The average
humidity varies from 70% (March) to 85% (September) [8].
                                                                           Fig. 1.Flowchart of land system simulation
The main land system divided into five classifications:
Forest (48.5%), Agricultural land (25.6%), Barren land
(13.3%), Aquatic ecosystems (12.7%), and Urban area                    The conversion resistance factor for each land system
(0.1%) [7].                                                        estimated base on the costs of conversion, information on
2.2. Data Sources                                                  local policies on land use, and scenarios setup. In the model
    The existing data included the land use/cover (2015)           we have assigned each land-use type a dimensionless factor
were obtained from the National Institute Statistic (NIS).         that represents the relative elasticity to conversion, ranging
These land use datasets separated into 9 categories (water,        from 0 (easy conversion) to 1 (irreversible change).
urban area, annual crop, flooded forest, wood plantation,              The conversion matrix was estimated by the model
grass land, forest, agricultural, and shifting cultivation). The   which indicates what types of land use conversions are
climate and topographic got from Mekong river commission           allowed. We have assigned each land-use type based on the
(MRC) and SRTM, the socioeconomic and soil data were               reality of the land policy and scenario setup which 0 (no
obtained from NIS.                                                 conversion allowed) and 1 (conversion is allowed).
2.3. Model implementation                                              2.4. Scenario setting
    To simulate the land system, change until 2045, we                 To capture land system change under different levels of
applied CLUMondo model with the spatial resolution of 2 ×          socioeconomic        development        and     environmental
2 km to simulate the future scenarios land system in TLS.          conservation, four scenarios were developed according to
This model determines the global spatial allocation of land        the historical trend of land system change, the land use
system through the allocated the land system change based          planning from 2015 to 2045, and the biodiversity
on the demand of goods, services for difference land               conservation targets. These differences reflect the
system[1]. The overall flowchart was described in Fig. 1.          importance given to different land system functions under
    The demands considered in this study included cash crop,       different scenarios. The first scenario Economic Land
                                                            107
Concessions (ELC) is a scenario based on only demand,             grassland(0%), shifting cultivation(0%), and forest land
population, and economic. it's long-term to clear land in         (21%) in Conservation and SDG 2030 scenario. For both
order to develop industrial scale agriculture and can be          scenario Economic land concessions and Moderate
granted for various activities. Second, The Moderate              conservation, the shifting cultivation land decrease to 0%
Conservation (MCO) is a scenario based on demand,                 since 2030, when the grassland remains less than 4.5% and
increasing rate of population and economic, with moderate         19% for forest land in 2045.
conservation of forest. It is balancing between demand and            The model simulation presented the land system change
supply. Third, Strong Conservation (SCO) is a scenario            that is a major driver of change in the spatial pattern and
based on the limit conservation of forest. The limit must be      overall provision of ecosystem service. Four scenarios show
high to preserve the biodiversity or to put in the conservation   that, while the demand for cash crop, wood product,
area. The last one, Sustainable Development Goals 2030            subsistence crop, and built-up area can be provided by both
(SDG-2030) is a scenario that based on the restoration to         smallholders and large-scale land acquisition (LSLAs), but
achieve the 60% of forest cover over Cambodia in 2030.            as the result “Water” and “Flooded forest” area would
III. Results and Discussion                                       remain constant for an area of 353,200 ha (4.34%) and
    The results from the four scenarios are presented in terms    277,200 ha (3.41%). Even though, the urban area, annual
of the simulated land system changes in TLS basin.                crop, wood plantation, and agricultural land are similar to
    Fig. 2 shows the resulting land system maps in 2045           increase until 2045, but other types of land system are very
under the four future scenarios which three quite different       different changing. In the ELC and Moderate Conservation
land system changes, even though the demands for most             scenario, most of the increasing of the urban area and annual
land system commodities and services are similar across all       crop land take a place of forest cover and shifting cultivation.
scenarios. The percentage of land system change between           However, we see the increasing of the urban area and annual
2015-2045 under different scenario shows in Fig. 3. In this       crop take a place of grassland and shifting cultivation than
case study, the water and flooded forest remained unchanged       the forest in the Conservation and SDG-2030 scenario. As
for all the scenarios, when the other land system is strongly     can be seen, all the changes of each land use type are almost
changing. The total amount of agricultural land, urban area,      linear except the type of water and flooded forest that
annual crop land, and wood plantation approximately               remains stable.
increase to 30.5%, 8.75%, 28.85%, and 3.1% in 2045.
However, three types of land system will be takeover in
Fig. 2. Land system changes in case study under the four scenarios
                                                           108
                                                  28.988
                                                                                                                         30.541
                                                                                                                          30.33
                                                   28.80
28.83
                                                                                                                          30.48
                                                                                                                          30.60
                                                   28.67
      35.00
                                                                                                                         27.45
                                                                                                                 26.68
      30.00
                                                                                                            20.798
                                                                                                            21.03
                                                                                                         18.74
      25.00
17.00
                                                                                                        16.94
                                                                                     13.62
      20.00
  %
                                  8.765
      15.00
                                  8.77
                                  8.76
                                  8.75
              4.341
                                                           3.407
      10.00
                                                                        3.156
              4.34
              4.34
              4.34
              4.34
                                                                                                 4.15
                                                           3.41
                                                           3.41
                                                           3.41
                                                           3.41
                           3.13
                                                                        3.12
                                                                        3.12
3.11
                                                                                               2.35
                                                                       2.33
2.05
                                                                                                                                        0.005
                                                                                             0.000
                                                                                                                                        0.20
                                                                                             0.00
                                                                                                                                        0.00
                                                                                                                                        0.00
       5.00
       0.00
                Water     Urban Area      Annual Crop Flooded Forest     Wood        Grass land  Forest Cover            Agricultural    Shifting
                                                                        Plantaion                                          lands        Cultivation
                 Land system 2015      Economic Land Concessions       Moderate Conservation    Conservation             SDG-2030
    The main reason that produces the results performing                          3648–3667, 2013, doi: 10.1111/gcb.12331.
like this is that all data of scenario including cash crop               [2]      E. F. Lambin, H. J. Geist, and E. Lepers, “ D
production, wood production, subsistence crops production,                        Ynamics of L and -U Se and L and -C Over C Hange
                                                                                  in T Ropical R Egions ,” Annu. Rev. Environ.
and built-up land were defined annually by a linear increase.
                                                                                  Resour., vol. 28, no. 1, pp. 205–241, 2003, doi:
IV. Conclusion                                                                    10.1146/annurev.energy.28.050302.105459.
                                                                         [3]      R. Kong et al., “Understanding the drivers of
    LULC change is closely related to the socio-economic
                                                                                  deforestation and agricultural transformations in the
development of an area and local planning and policy. In this                     Northwestern uplands of Cambodia,” Appl. Geogr.,
study four scenarios, which considered multiple demands                           vol. 102, no. April 2018, pp. 84–98, 2019, doi:
for commodities and services, representing different                              10.1016/j.apgeog.2018.12.006.
pathways of managing TLS's land resources, were using                    [4]      S. Chann, N. Wales, and T. Frewer, “An
CLUMondo simulation demonstrated that land-use change                             Investigation of Land Cover and Land Use Change
between 2015 and 2045. The result from the analysis in                            in Stung Chrey Bak Catchment, Cambodia,” no. 53,
                                                                                  2011.
CLUMondo model can serve as an indicator of the direction
                                                                         [5]      K. Chim, J. Tunnicliffe, A. Shamseldin, and T. Ota,
and magnitude of change in the future. CLUMondo tool can                          “Land use change detection and prediction in upper
conveniently explore the possible patterns of multiple land-                      Siem Reap River, Cambodia,” Hydrology, vol. 6, no.
use changes under the influence of both human and natural                         3, 2019, doi: 10.3390/hydrology6030064.
effects. These results of land-use models are important to               [6]      T. Van Ty, K. Sunada, Y. Ichikawa, and S. Oishi,
evaluate policy options and assess the impact of land-use                         “Scenario-based Impact Assessment of Land
change on natural and socio-economic conditions.                                  Use/Cover and Climate Changes on Water
                                                                                  Resources and Demand: A Case Study in the Srepok
Acknowledgement                                                                   River Basin, Vietnam-Cambodia,” Water Resour.
   This work was supported by the Science and Technology                          Manag., vol. 26, no. 5, pp. 1387–1407, 2012, doi:
                                                                                  10.1007/s11269-011-9964-1.
Research Partnership for Sustainable Development
                                                                         [7]      C. O. Project, M. Committee, M. Committee, T. H.
(SATREPS), the Japan Science and Technology Agency                                E. M. Project, O. F. Mekong, and R. Commission,
(JST)/Japan International Cooperation Agency (JICA).                              “Learning from the lakes : IWRM implementation
                                                                                  in Tonle Sap Lake of Cambodia and Songkhla Lake
                                                                                  Basin of Thailand,” no. August, pp. 1–89, 2013.
References
                                                                         [8]      C. Oeurng, T. A. Cochrane, S. Chung, M. G.
[1]      S. Van Asselen and P. H. Verburg, “Land cover                            Kondolf, T. Piman, and M. E. Arias, “Assessing
         change or land-use intensification: Simulating land                      climate change impacts on river flows in the Tonle
         system change with a global-scale land change                            Sap Lake Basin, Cambodia,” Water (Switzerland),
         model,” Glob. Chang. Biol., vol. 19, no. 12, pp.                         vol. 11, no. 3, 2019, doi: 10.3390/w11030618.
                                                               109
        The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                           Jointly held with
                th
          The 5 International Symposium on Conservation and Management of Tropical Lakes
                           “Insights and Challenges toward Achieving SDGs”
_________________________________________________________________________
       1
           Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia Russian Federation Blvd., P.O.
                                               Box 86, 12156 Phnom Penh, Cambodia,
        2
          Faculty of Hydrology and Water Resource Engineering, Institute of Technology of Cambodia, Russian Federation
                                          Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
         3
           Water and Environmental Research Unit, Research and Innovation Center, Institute of Technology of Cambodia,
                                Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
            4
              Department of Science, Technology & Innovation Promotion and development, National Institute of Science,
                          Technology & Innovation, Ministry of industry, Science, Technology & Innovation
                                                     5
                                                       Yamagata University, Japan
               6
                 Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Tokyo, Japan
      7
        Department of Science, Technology & Innovation Policy, General Department of Science, Technology & Innovation,
                                        Ministry of industry, Science, Technology & Innovation
*sievsokly@yahoo.com
Abstract
          Water quality of Tonle Sap Lake have been investigated for many years. However, the applicability of high-
resolution satellite images for monitoring spatial variations of water quality has not been studied. Therefore, this study aimed
to explore the spatial variation based on field observation and the remote sensing as a mean of water quality mapping. Water
quality including temperature, electrical conductivity (EC), total dissolved solids (TDS), salinity, and total bacteria
concentration were sampled during the dry season (March 2018) at 19 points in Chhuk Tru area and statistically fitted by the
reflectance of Sentinel-2’s bands with the central wavelength between 665 nm to 1610 nm. As the result, the coefficient of
determination (R2) of temperature and Band 8A at 865nm was 0.83. EC (R2= 0.80), TDS (R2=0.79), and Salinity (R2=0.79)
were best fitted with Band 11 at 1610 nm. Total bacteria concentration in water and sediment (R2= 0.87 and R2= 0.55) were
fitted with Band 11 at 1610 nm and band 4 at 665 nm, respectively. Those correlations are possibly due to light absorption
and reflecting properties of each water quality parameter. Those results showed potential applicability of Sentinel-2 for
monitoring the water quality, especially in the large area (e.g., floating village and Tonle Sap Lake) using fitted equations and
reflectance bands. The output of this research may provide benefits to decision makers for water quality management in
floating villages.
                                                          110
I. Introduction
                                                              111
for capture the image for EC, TDS, and Salinity at 1610nm.                 3.2. Conductivity, Total dissolved solid and
The image of bacteria concentration in water was capture by                Salinity
band 11 which is the same as other parameters. But, for
bacteria concentration in sediment with the high spatial                             Electrical conductivity is the measure of water
resolution 10m and wavelength 665nm, band 4 was used to                    capacity to conduct electrical current. It illustrated
mature the image for monitoring bacteria concentration in                  significant correlation with TDS and Salinity. Band 11 was
sediment. By reflectance measurement and in-situ                           used for analyzing the data of EC, TDS and salinity. The
measurement, it gives the suitable values from water quality               spatial distribution of water that is used to estimate those
parameter and its reflectance.                                             parameters are generally increase from solid surface to water
                                                                           surface. As a result, EC value was around 100µS/cm, TDS
III. Results and Discussion                                                was around 50mg/L and Salinity was 0.025psu with R2=
                                                                           0.80, R2=0.79 and R2=0.79 (Table 1), respectively. Band 11,
3.1. Temperature                                                           with the wavelength 1610nm (SWIR), give the best potential
                                                                           for salinity detection and discrimination [10] the same for
         Daily temperature at TSL about 20℃ and 36℃ in                     electrical conductivity and total dissolve solid. Since the
dry season that the weather is influence by monsoon. In this               bands found in SWIR were associate with information
study, the temperature of water was around 30 to 31℃                       related to salt content differences.
(Figure 2) with the coefficient of determination R2= 0.83
(Figure 3), while the highest temperature from those 19                    3.3. Bacteria concentration
points was around 34℃.
                                                                                    For bacteria concentration, two different bands
                                                                           were used to determine the bacteria concentration. Band 11
                                                                           was used to analyze bacteria concentration in water and
                                                                           Band 4 was used for estimating sediment. The mean value
                                                                           of bacteria concentration in water and sediment was around
                                                                           70.37 CFU and 1075 CFU with R2= 0.87 and R2= 0.55,
                                                                           respectively as shown in Table 1. bacteria concentration in
                                                                           sediment, Band 4 (Visible) is needed for monitoring it
                                                                           because the sediment in suspension present in the bodies of
                                                                           water are visibly seen by their coloring, which are varies
                              Cloud
                                                                           depending on the concentration of sediments from dark
                                                                           brown to yellowish green. The correlation of between
                             Figure 2. Map of Temperature                  sedimentary bacteria and B-4 reflectance is very low due to
                                                                           the cause of turbidity in the low water depth. Since turbidity
                        35                                                 is a measured of the cloudiness in water.
                                 y = 25.398x + 28.679
     Temperature [oC]
                        34            R² = 0.8312
                                                                            Table 1. Parameter of water quality, types of bands value
                        33                                                                       range and R2
                                                                     112
                                                                 References
                                                          113
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Sreynich Pang 1, Sreyla Vet 1, Penghour Hong 1, Pisut Painmanakul 2 and Saret Bun 1,*
            1
                Water and Environmental Engineering, Faculty of Hydrology and Water Resources Engineering,
                           Institute of Technology of Cambodia, Phnom Penh 12156, Cambodia
                           2
                             Department of Environmental Engineering, Faculty of Engineering,
                                     Chulalongkorn University, Bangkok 10330, Thailand
                                            * Corresponding author: saret@itc.edu.kh
Abstract
    This study aimed to optimize electrode configuration and operation condition of electrocoagulation reactor for removing
color and turbidity from synthetic textile wastewater. The experiment was firstly conducted in the small batch column for
investigating the performance of different electrode types, arrangements, gaps, and current density. The result showed that the
arrangement of electrodes as monopolar and bipolar with 1.5 cm inner gap and 1.5 mA/cm2 current density provided the
optimal performance in terms of gas flow and electrode loss. Monopolar was found as optimum level in terms of energy
consumption while comparable treatment efficiency was observed. Hence, the experiments for color and turbidity removal
kinetic under optimal condition were conducted for defining the sufficient hydraulic retention time and overflow rate of
continues electrocoagulation reactor integrated sedimentation. Bentonite and reactive dye were used for preparing turbidity
and color wastewater, respectively. To archive 95% removal efficiency of both pollutants, the detention time about 25 to 30
minutes using 4.5 mA/cm2 current density are required. Plus, overflow rate 2.1 m/hr was found as the effective condition for
gravity settling to design sedimentation compartment. Therefore, integrated system in continues operation was constructed as
semi-industrial scale, 141 litters, for performance evaluation study. Approximate 95% and 97% removal efficiency of both
pollutants was obtained under the optimal condition found (13.5 mA/cm 2 current density) with liquid flow rate 3 and 1 L/min,
respectively. However, 2 L/min was found as the optimum liquid flow for simultaneous removal of both pollutants.
                                                         114
coagulation requires an addition of chemicals, which leads          turbidity, bentonite was rapidly mixed with water at 300 rpm
to generate huge quantity of sludge.                                for 5 minutes, followed by slow mixing at 40 rpm for 30
    Electrocoagulation (EC) process has been interested for         minutes, and let it settle down 35 minutes. Moreover,
studying with different types of effluents from the industries.     synthetic color wastewater was prepared by dissolving the
EC has been employed successfully for the reduction dyes            reactive dye in tap water for 5 minutes with 300 rpm.
using a direct current source between metal or aluminum
electrodes immersed in polluted water. It has the capacity to       2.3. Electrode optimization
treat wastewater more efficient comparing to conventional                Configuration and operation condition of electrodes
coagulant, about 10 – 15% [2]. This study aims to develop           were initially investigated to define the optimum condition
and evaluate the electrocoagulation reactor combining both          in the batch column experiment in terms of generated gas
EC and sedimentation units in terms of design criteria and          flow and electrode corrosive loss ratio (Qg/Eloss). Generated
operation condition in batch and continue modes for color           gas flow (Qg) was directly measured using soap film meter
and turbidity removal from wastewater of textile industry.          captured from the reactor cap covering (see Fig. 1). It can be
                                                                    estimated by using Eq. (1), where Qg is gas flow rate [mL/s],
II. Materials and Methods                                           ΔV = V2 - V1 is the different volume of gas (mL), and Δt =
                                                                    t2 - t1 is the different time of gas moved (sec.). Electrode loss
2.1. Experimental set-up
                                                                    (Eloss) presented in percentage was defined the different
    Batch column was constructed from clear acrylic
                                                                    weights of electrode used before and after the experimental
material in cylinder shape with 3 cm-diameter for containing
                                                                    work, as expressed in Eq. (2). Electrode configuration and
4 litters of water sample, as illustrated in Fig. 1. At the
                                                                    operation condition parameters included electrode gap (1 –
bottom, it was connected to the drainage port for discharging
                                                                    2 cm), electrode arrangement (monopolar and bipolar), and
the sludge and sample after conducting the experiments. The
                                                                    current density (1.5 – 2.5 mA/cm2). The initial turbidity and
electrode plates (20 cm × 5 cm × 0.2 cm) were installed in
                                                                    color concentration in this part were 250 NTU and 6,000
the reactor and connected to the direct current (DC)
                                                                    ADMI, respectively.
generator for supplying the current. Aluminum electrode
plates were used in this study. At the top, an acrylic cap was                                     ΔV
covered for collecting the generated gas from the system to                                 Qg =                            (Eq.1)
                                                                                                   Δt
the soap film meter. Tap water was firstly used as liquid
phase at room temperature (25 ± 3°C) for optimization study                           initial weight - final weight
of EC configuration and operation condition.                                Eloss =                                         (Eq.2)
                                                                                              initial weight
    Fig. 1. Experimental set-up in batch column reactor             III. Results and Discussion
                                                                    3.1. Optimize EC configuration and operation condition
2.2. Synthetic wastewater                                               This part aimed to optimize the electrocoagulation
    To synthesize turbidity and color wastewater, bentonite         condition including electrode configuration, arrangement,
and reactive dye were prepared with tap water. For synthetic
                                                              115
and current density. Electrode configuration, i.e., gap,                       arrangement were comparable, other evaluation factor,
arrangement, and current density, was initially investigated                   treatment cost, was used to select the optimum one. Based
in terms of Qg/Eloss. It was investigated between monopolar                    on the energy consumption estimation, bipolar required
and bipolar, inner electrode gap (1.0 – 2.5 cm), and current                   approximate $US 0.31 to remove one kilogram of dye from
density (1.5 – 2.5 mA/cm2). It was found that the optimum                      1 m3 of wastewater, while $US 0.05 was paid by using
electrode in monopolar and bipolar arrangement were 1.5                        monopolar electrode. Hence, aluminum electrode in
mA/cm2 of current density with 1.5 cm and 2 cm of electrode                    monopolar arrangement with 1.5 cm gap was selected as the
gap, respectively (data not shown). These conditions were                      economize condition in terms of turbidity and color removal.
therefore used to conduct under synthetic wastewater of 250                    Therefore, it will be designed for investigating under
NTU turbidity and 6,000 ADMI color.                                            different current density.
                                                                                   Current density plays an important role in EC process. In
     a                          100                                            this study, it was then varied in 5 levels, i.e., 1.5, 2.5, 3.5,
                                                                               4.5, and 5.5 mA/cm2 for turbidity and color removal from
      Removal efficiency [%]
20 Bipolar a 100
                                                                                                                                  Cₒ= 50 NTU
                                                                                                               20
                                                                                                                                  Cₒ= 250 NTU
                                60                                                                                                Cₒ= 500 NTU
                                                                                                                0
                                                                                                                    0   10            20        30
                                40
                                                                                                                         Time [min]
                                20                      Bipolar                      b 100
                                                        Monopolar
                                                                                      Removal efficiency [%]
                                                                                                               80
                                 0
                                      0   30           60           90
                                          Time [min]                                                           60
                                                                         116
performance was kinetically studied in this part. The initial    that after decreasing the liquid flow to 2 L/min, the removal
turbidity and color concentrations were examined in range        efficiency increased due to the higher hydraulic retention
of 50 to 500 NTU, and 2,500 to 15,000 ADMI, respectively.        time allowing the coagulant and particles attached to each
The result was shown in Fig. 3. Initial concentration of 50      other to form floc for settle down.
NTU needed electrolysis time about 25 minutes to dissolve
aluminum ion to improve the lag stage until reaching the         a                          300                                         100
stable stage, which provided removal efficiency around 75%.
                                                                                                                                                 % Removal
                                                                                            200
respectively (see Fig. 3 (a)). Low concentration of color
consumed less electrolysis time and provided higher                                                                                     50
treatment efficiency than the high concentration at lag stage.
                                                                                            100
At stable stage, removal efficiency of three initial
                                                                                                                                        25
concentrations were very similar, 98% ± 1% after 20                                                                 StD: 20 NTU
minutes (see Fig. 3 (b)).
                                                                                               0                                        0
3.3. Settling performance                                                                          0   50           100           150
     Settling test was studied in a batch column containing 4-   b                          6000                                        100
litter sample with 33-cm height. Four sampling ports, 13, 18,
23, and 28 cm from water surface, were designed for
                                                                 Residual color [ADMI]
                                                                                                                                        75
samples collection. It was investigated after operating EC of
                                                                                                                                              % Removal
                                                                                            4000
optimum condition previously found with 250 NTU and
6,000 ADMI as initial concentrations. The results showed                                                                                50
that 2.1 and 1.7 m/hr of overflow rate (OFR) can separate
                                                                                            2000
turbidity (~ 87%) and color (~ 90%), respectively (data not
                                                                                                                                        25
shown). This finding will be used as the design criteria of
                                                                                                              StD: 300 ADMI
the settling separation process.
                                                                                               0                                        0
3.4. Performance of ECR integrated sedimentation                                                   0   50           100           150
                                                                                                       Time [min]
    Based on the result separately found, each design criteria
were used for constructing the new ECR, which was                Fig. 4. Treatment performance in continuous EC integrated
included EC (4 units of EC) and separation compartments.             sedimentation (2 L/min) for: (a) turbidity, and (b) color
The experiment was conducted for individual pollutants
with 13.5 mA/cm2. Under initial concentration 250 NTU and        IV. Conclusion
6,000 ADMI, turbidity and color can be removed to less than          The objective of the present study is to optimize the
20 NTU and 300 ADMI after using liquid flow 3 and 1              electrode configuration and operation condition of
L/min, respectively (data not shown).                            electrocoagulation reactor integrated sedimentation for
    Then, a simultaneous removal of both pollutants was          removing color and turbidity from synthetic textile
conducted to define the optimum liquid flow. Under 3 L/min       wastewater. In order to confirm the effect of the new reactor
flow, color cannot be completely removed to the target level,    design, several parameters in batch and continue reactor was
300 ADMI (data not shown). The simultaneous removal              evaluated. It was firstly examined in a small batch column
under the flow 2 L/min was conducted and the result was          for different electrode types, arrangements, gaps, and current
shown in Fig. 4. Removal efficiency was reached to 90% for       density. Monopolar with 1.5 cm inner gap and 1.5 mA/cm 2
both turbidity and color after 60 minutes operation as the       current density was found as the optimum condition in terms
stable stage. At 150 minutes, color removal reaches 97%,         of Qg/Eloss ratio and energy consumption, while monopolar
(residual color 213 ADMI), and 94% removal efficiency for        and bipolar resulted comparable treatment performance.
turbidity (residual turbidity 14.2 NTU). It can be explained     Therefore, color and turbidity removal kinetic under optimal
                                                          117
condition were conducted for defining the sufficient
hydraulic retention time and overflow rate of continues ECR
integrated sedimentation. Approximate 95% removal
efficiency was obtained under the detention time about 25 to
30 minutes using 4.5 mA/cm2 current density. Moreover, 2.1
m/hr of overflow rate was found as the effective condition
for gravity settling to design sedimentation compartment.
Integrated system in continues operation was constructed to
evaluate treatment performance. A simultaneous removal of
turbidity and color can be completely removed to be lower
than effluent wastewater standard under the optimum
condition found with 13.5 mA/cm2 current density with 2
L/min liquid flow.
Acknowledgement
   Authors acknowledges Project for Strengthening
Engineering Education and Research for Industrial
Development in Cambodia of JICA through LBE Research
Grant for financial support.
References
[1]   Verma, A., Bhunia, P., and Dash, R., 2014.
      Reclamation of wastewater using composite
      coagulants: A sustainable solution to the textile
      industries. Chem. Eng. Trans. 42, 175-180.
[2]   Zaleschi, L., Teodosiu, C., Cretescu, I., Rodrigo, M.
      A., 2012. A comparative study of electrocoagulation
      and chemical coagulation processes applied for
      wastewater treatment. Environmental Engineering &
      Management Journal. 11(8).
                                                         118
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                         Jointly held with
      The 5th International Symposium on Conservation and Management of Tropical Lakes
                         “Insights and Challenges toward Achieving SDGs”
            1
              School of Natural Science and Technology, Kanazawa University, Kakuma-machi, Kanazawa City,
                                           Ishikawa Prefecture 920-1192, Japan
        2
            Faculty of Geosciences and Civil Engineering, Kanazawa University, Kakuma-machi, Kanazawa City,
                                          Ishikawa Prefecture 920-1192, Japan
                                     * Corresponding author: rhonda@se.kanazawa-u.ac.jp
Abstract
    Perfluorooctanesulfonate (PFOS) and Perfluorooctanoic acid (PFOA) have been strictly regulated due to their high
bioaccumulation and potential toxicity to human health. PFOS and PFOA are commonly found in the environment; however,
knowledge of biodegradation of PFOS and PFOA is still limited. The aim of this research is to investigate PFOS and PFOA
biodegradability using environmental microbes from acclimated sludges. The return sludge from a local wastewater treatment
plant was cultured in synthetic wastewater with a stepwise increase of PFOS or PFOA dose at 0, 5, 10, 20 µg/L in every 5
days under aerobic condition. After 20-days, acclimated sludge with each concentration of PFOS or PFOA were utilized as
inoculum in Kirk liquid media for batch biodegradation experiment. The mixture of 20 µg/L PFOS and 20 µg/L PFOA was
spiked in glass vials with a rubber stopper and seal crimp in triplication. These vials were then incubated at 30°C under orbital
shaking at 170-180 rpm and their headspaces were replaced with ambient air every 2-4 days to supply oxygen. Liquid samples
were taken after 6 hours, and days 1, 2, 7. PFOS and PFOA were measured by LC-MS/MS after solid phase extraction. With
PFOS-acclimated sludge, PFOS was decomposed approximately 40% after 7 days of incubation. On the contrary, significant
biodegradation was not observed for PFOA with PFOA- nor PFOS-acclimated sludges. Thus, this study could contribute to
the biodegradation of PFOS using microbial communities derived from wastewater sludge.
Keywords: Bioremediation, LC-MS/MS, Perfluoroalkyl and Polyfluoroalkyl substances (PFASs), Perfluorooctanoic acid
   (PFOA), Perfluorooctanesulfonate (PFOS)
                                                          119
(EPA) has set the safety consumption dose in drinking water     samples from Aqueous film forming foam utilized sites were
up to 70 ppt and banned PFASs production since 2000s [1].       employed as seeding for fungi isolation by American
However, the legacy of PFASs still existed in environment       research group to degrade 6:2 FTOH [11]. PFOS degradable
these days.                                                     Pseudomonas aeruginosa strain was enriched from activated
    PFASs have been commonly detected as high                   sludge of PFCs contaminated municipal wastewater
concentration in wastewater treatment plants, industrial        treatment plants in Korea [12]. These studies suggested the
producing or using PFASs, and firefighter training sites [2].   potential of enrichment and isolation PFASs degradable
PFASs are hardly to remove using existed treatment              microbes from historically PFASs contaminated sites and
technologies, therefore; residue of PFASs have still found in   effectiveness of acclimation processes. It also reflected the
downstream even at low concentrations. The US reported          development on bioremediation technologies that are
the median of total 17 PFASs in source of water is 21.4 ng/L,   expected to increase the efficiency of treatment PFAS in real
and 19.5 ng/L in treated drinking water [3]. PFASs were also    polluted environment. The aim of this research is to
reported in drinking water and bottle waters at range of 116-   investigate PFOS and PFOA biodegradability using
140ng/L according to an assessment of PFASs in Brazil,          environmental microbes from acclimated sludges.
France, and Spain [4]. Regarding the numbers of survey by
French Overseas Territories, PFOS and PFOA were founded         II. Materials and Methods
as the most frequently existed compounds in surface water
                                                                2.1. Sludge acclimatation
[5].
                                                                    The return sludge was taken from a local wastewater
    Previous studies have shown their great efforts on PFASs
                                                                treatment plant and used as inoculum. It was cultured in
remediation using various technologies in both physical and
                                                                synthetic wastewater by ratio 1:2 which prepared according
chemical approaches such as absorption, photocatalytic,
                                                                to OECD recipe [13]. New synthetic wastewater has been
electrochemical oxidation, and reverse osmosis [6]. These
                                                                replacing every 2-3 days with stepwise increase of PFOS or
treatment technologies have limitations for their application
                                                                PFOA dose at 0, 5, 10, 20 µg/L in every 5 days under aerobic
on high operational cost and may also produce
                                                                condition.
perfluorocarbons wastes (PFCs). The PFCs waste are
potentially more harmful to health and even more
                                                                2.2. Batch biodegradation experiment
persistence in future.
                                                                    After 20-days, sludge acclimatized with each of PFOS
     Microbial approach for remediation is a key to eliminate
                                                                and PFOA, and non-acclimated sludge were utilized as
the harmful pollutants from environment. It has gained the
                                                                inoculum in Kirk liquid media as described by Ramírez and
interest of researchers to combat PFASs in the last decades.
                                                                co-workers [14] for batch biodegradation experiment.
PFASs degradable microbes enriched from environmental
                                                                Deactivated sludge by autoclaving non-acclimated sludge
samples have been applied as one of affordable
                                                                has also been examined to reveal the sludge absorption of
bioremediation treatment technologies. Previously, loam
                                                                PFOS and PFOA. A mixture of 20 µg/L PFOS and 20 µg/L
soil from an agronomy farm was used as microcosms on 8:2
                                                                PFOA was spiked in 50 mL glass vials with a rubber stopper
Fluorotelomer Stearate Monoester biodegradation [7],
                                                                and seal crimp in triplication. These vials were then
aerobic and anaerobic river sediment also performed for 6:2
                                                                incubated at 30°C under orbital shaking at 170-180 rpm and
fluorotelomer sulfonate treatment [8], and marine sediment
                                                                their headspaces were replaced with ambient air every 2-4
from False Creek used for N-Ethyl Perfluorooctane
                                                                days to supply oxygen.
Sulfonamido Ethanol (EtFOSE) and EtFOSE-Based
                                                                    Mix liquor in each glass vial was transferred into a sterile
Phosphate biodegradation [9]. Lab scale acclimation has
                                                                50 mL polypropylene (PP) centrifuge tubes after 6 hours and
also been performed to enrich biodegrading bacteria strain
                                                                days 1, 2, 7. The samples were centrifuged at 13,000 ×g for
from soil samples, and Pseudomonas parafulva was reported
                                                                5 min to separate supernatant and pallet. Then, the used glass
as PFOA-degrading bacteria strain [10]. Some studies draw
                                                                vials, and sludge have been rinsed using Phosphate-buffered
their attention on pure culture isolation which were isolated
                                                                saline to collect all attachment PFOS and PFOA. After
from PFASs contaminated environment that commonly
                                                                rinsing, all liquid samples were collected at final volume 40
known as potential inoculum sources for stronger
degradability microbial cultivation. Groundwater and soil       mL and stored at 4°C till extraction.
                                                         120
2.4. Analytical determination of PFOS and PFOA
    Each liquid sample was spiked with 50 µL of isotopically                           23                       Activated sludge
labeled 1 mg/L 13C4-PFOS and 1 mg/L 13C4-PFOA standards.                                                        Deactivated sludge
                                                                Concentration (µg/L)
                                                                                       21                       PFOS acclimated sludge
PFOS and PFOA were enriched on Oasis WAX (150mg, 6cc)
                                                                                                                PFOA acclimated sludge
cartridge (Waters, U.S.A.) according to manufacturer’s                                 19
instruction [15]. Briefly, sample was the cartridges were
preconditioned by 4 mL of 0.1% ammonia/methanol, 4 mL                                  17
of methanol and 4 mL of Milli Q water. Samples were loaded
                                                                                       15
at the frow rate of 5 ml/min or slower, and washed with 4
mL of ammonium acetate buffer. Subsequently, the                                       13
cartridges were dried under vacuum for 2 min before elution                                 0   1    2      3      4      5     6        7
into 15 mL PP conical tubes using 4 mL of methanol and 4                                            Degradation time (days)
mL of 0.1% ammonia/methanol. The eluent was evaporated            Fig. 1. Biodegradation of PFOS using non acclimated sludge,
to dryness under gentle nitrogen stream at temperature 40°C.           deactivated sludge, PFOS-acclimated sludge and PFOA
The extracts were reconstituted in 0.5 mL of 50% methanol       3.2. PFOA biodegradation acclimated sludge.
and Milli Q water before being transferred to PP vial for LC-
MS/MS analysis.                                                     Results of the experiments set up under four different
    PFOS and PFOA were analyzed on a Nexera X2 HPLC             types of sludge conditions are presented in Fig.2. None of
(Shimadzu, Japan) using a 2.1×100 mm Inertsil ODS-4             the tested conditions showed a significant decrease in the
column (3µm) (GL Science, Japan) coupled to a Sciex 3200        concentration of PFOA during experiment 7 days. Thus,
triple quadruple spectrometer in multiple reaction              microbial communities in PFOA-AS are likely unable to
monitoring and negative electrospray ionization mode. 5 µL      degrade PFOA nor PFOS. These results supported the highly
of extracts were injected via an autosampler and eluted with    tolerant nature of PFOA in microbial communities derived
50% of 10 mM ammonium acetate and 50 % of acetonitrile          from wastewater sludge. At the same time, it indicated that
as mobile phase. The flow rare was set at 0.2 mL/min.           microbial profile in PFOS-AS might differ to PFOA-AS.
                                                         121
not observed for PFOA with PFOA-AS nor PFOS-AS. Thus,           [8]    Zhang, S., Lu, X., Wang, N., & Buck, R. C., 2016.
this study could contribute to the biodegradation of PFOS              Biotransformation potential of 6:2 fluorotelomer
using microbial communities derived from wastewater                    sulfonate (6:2 FTSA) in aerobic and anaerobic
sludge. Further study should be focused on microbial                   sediment. Chemosphere, 154, 224–230.
community with high degradation capacity acclimated             [9]    Benskin, J. P., Ikonomou, M. G., Gobas, F. A. P. C.,
sludge by 16S rRNA sequencing.                                         Begley, T. H., Woudneh, M. B., & Cosgrove, J. R.,
                                                                       2013. Biodegradation of N-ethyl perfluorooctane
Acknowledgement                                                        sulfonamido ethanol (EtFOSE) and EtFOSE-based
                                                                       phosphate diester (SAmPAP diester) in marine
    We are thankful to Prof. Shaily Mahendra of Department
                                                                       sediments. Environmental Science and Technology,
of Civil and Environmental Engineering, University of
                                                                       47(3), 1381–1389.
California in Los Angeles for her experiences on this field
                                                                [10]   Yi, L. B., Chai, L. Y., Xie, Y., Peng, Q. J., & Peng, Q.
of research on bioremediation and documentary supports.                Z., 2016. Isolation, identification, and degradation
                                                                       performance of a PFOA-degrading strain. Genetics
References                                                             and Molecular Research, 15(2), 1–12.
[1]   EPA, 2017. Technical Fact Sheet- Perfluorooctane          [11]   Merino, N., Wang, M., Ambrocio, R., Mak, K.,
      Sulfonate (PFOS) and Perfluorooctanoic acid                      O’Connor, E., Gao, A., Hawley, E. L., Deeb, R. A.,
      (PFOA).                                                          Tseng, L. Y., & Mahendra, S., 2018. Fungal
[2]   Dauchy, X., 2019. Per- and polyfluoroalkyl                       biotransformation of 6:2 fluorotelomer alcohol.
      substances (PFASs) in drinking water: Current state              Remediation, 28(2), 59–70.
      of the science. Current Opinion in Environmental          [12]   Kwon, B. G., Lim, H. J., Na, S. H., Choi, B. I., Shin,
      Science & Health, 7, 8–12.                                       D. S., & Chung, S. Y., 2014. Biodegradation of
[3]   Boone, J. S., Vigo, C., Boone, T., Byrne, C., Ferrario,          perfluorooctanesulfonate (PFOS) as an emerging
      J., Benson, R., Donohue, J., Simmons, J. E., Kolpin,             contaminant. Chemosphere, 109, 221–225.
      D. W., Furlong, E. T., & Glassmeyer, S. T., 2019. Per-    [13]   OECD, 2010. OECD Guidelines for the Testing of
      and polyfluoroalkyl substances in source and treated             Chemicals (Technical Report 209). Activated Sludge,
      drinking waters of the United States. Science of the             Respiration Inhibition Test (Carbon and Ammonium
      Total Environment, 653, 359–369.                                 Oxidation. Guideline 16.
[4]   Schwanz, T. G., Llorca, M., Farré, M., & Barceló, D.,     [14]   Ramírez, D. A., Muñoz, S.V., Atehortua, L., Michel,
      2016. Perfluoroalkyl substances assessment in                    F. C., Jr., 2010. Effects of different wavelengths of
      drinking waters from Brazil, France and Spain.                   light on lignin peroxidase production by the white-
      Science of the Total Environment, 539, 143–152.                  rot fungi Phanerochaete chrysosporium grown in
[5]   Munoz, G., Labadie, P., Botta, F., Lestremau, F.,                submerged cultures. Bioresource Technology, 101
      Lopez, B., Geneste, E., Pardon, P., Dévier, M. H., &             (23), 9213-9220.
      Budzinski, H., 2017. Occurrence survey and spatial        [15]   Waters. (2009). PFOS/PFOA extraction method
      distribution of perfluoroalkyl and polyfluoroalkyl               using                    Oasis                    WAX.
      surfactants in groundwater, surface water, and                   https://www.waters.com/waters/promotionDetail.ht
      sediments from tropical environments. Science of the             m?id=10108600&locale=145. Accessed 26 Oct 2020.
      Total Environment, 607–608, 243–252.
[6]   Kucharzyk, K.H., Darlington, R., Benotti, M., Deeb,
      R., Hawley, E., 2017. Novel treatment technologies
      for PFAS compounds: A critical review.
      Environmental Management, 204 (2),757-764.
[7]   Dasu, K., Liu, J., & Lee, L. S., 2012. Aerobic soil
      biodegradation of 8:2 fluorotelomer stearate
      monoester. Environmental Science and Technology,
      46(7), 3831–3836.
                                                         122
     The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                        Jointly held with
             th
       The 5 International Symposium on Conservation and Management of Tropical Lakes
                        “Insights and Challenges toward Achieving SDGs”
.
           Effect of Crop Growth through Improving Drip Irrigation Uniformity
    Channtola SOT1*, Vouchleang SREANG1, Mengheak PHOL1, Sophanith THA1, Makara SOY1, Somnang
                   SRIM1, Seum MAO1, Chanthan HEL2, Chantha OEURNG1, Pinnara KET1
                   1
                   Faculty of Hydrology and Water Resource Engineering, Institute of Technology of Cambodia,
                             Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia.
2
  Faculty of Telecommunication, Electronic, and Network Engineering, Institute of Technology of Cambodia, Russian Fed
                               eration Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                     .
                                       * Corresponding author: tolasot25@gmail.com
Abstract
    Crop production experiments of three crops, such as, Red Oakleaf, Red Lettuce and Bok Choy with different system
uniformities and field scales controlled by driplines were conducted in a greenhouse in 2020. The Christiansen uniformity
coefficients were evaluated. The uniformity of systems was established with nominal emitter discharge rates along a
dripline. For all of the system uniformities tested, dry matter above ground uptake displayed high uniformity coefficients
throughout the entire growing season. The effects of system uniformity on the crop growth was evaluated. The crop
growth experiment of 3 plants, such as, Red Oakleaf (R1), Red Lettuce (R2) and Bok Choy (R3) in the new system
installed presented the excellent crop growth with the uniformity of 70-90%. The yields obtained R1 7000kg/ha, R2
6500kg/ha, R3 14000kg/ha. However, the crop growth uniformity of Bok Choy was affected by insects so that lead to
lower uniformity despites the irrigation uniformity.
                                                       123
I. Introduction                                               Table 1: Date of each growing step
                                                               Planting date     Transplanting           Harvesting
    Water use efficiency (WUE) in irrigation is the factor
                                                                                 date                    date
that saves water to increase crop yields. WUE can be
                                                               25.09.2020        17.10.2020              18.11.2020
enhanced through improving water distribution
uniformity in irrigation system (Phengphaengsy and
                                                              Soil properties were measured as indicated in the Table
Okudaira 2008; Li 1998).
                                                              2
    Actually, in drip irrigation system, the uniformity is
                                                              Table 2. Soil properties
considered as a key parameter to design a proper system.
                                                                Parameters                Value
Improper determination of the parameter, it leads to
                                                                Soil Texture              Loam
nonuniform and lower yields (Bralts and Kesner 1983),
(Zhao et al. 2012). Some previous scientific studies            pH                        6.63
prove that a good design of the water pressurize by using
the software to increase the system performance and
water efficiency obtained energy saving was (34.23 ;          V(A)               V(B)                  V(C)
29.54%) with slope 2% by using lateral length 30m for
drip irrigation(Attia et al. 2019).
                                                        124
   Figure 2. Schema of drip system at the first event
                                                                  Where 𝒙𝒊 parameter of discharge each emitter
After measured wet area was designed the spacing              (ml/min), 𝒙 is the average of all discharge in the emitter,
emitters and laterals in the same shape of box which had      n is the total emitter.
48 emitters with 6 laterals in order to get the water             (Zhao et al. 2012) suggests a design Christiansen
uniformly cover the soil and the root length will get         uniformity coefficient (CU) got greater than 80%.
water enough for growing according to the graph shown         However,
(Figure 3).                                                       Using the same principle of Christiansen uniformity
                                                              to calculate the uniformity of crop growth
                                                                                                 ∑𝒏𝒊=𝟏|𝒃𝒊 − 𝒃|
                                                                          𝑪𝑼𝒄𝒓𝒐𝒑 = 𝟏𝟎𝟎 × (𝟏 −                  )
                                                                                                      𝒏𝒃
                                                                  Where 𝒃𝒊 parameter of biomass of each plant
                                                              (g/plant), 𝒃 is the average of weight’s plant, n is the total
                                                              emitter.
A(A) (((B)
    Figure 4. Emitter flow rate measurement in the box        Figure 5. shows the flow rate variation in the
of soil.                                                      growing boxes. The first event of drip installation
A) first event of drip system installation, B) Second         presented the large variation within the box. This
event of drip system installation.
                                                              means that there were nonuniformity of the
Biomass of plants were collected for 3-weeks and those
                                                              irrigation water supply in the box that impacted the
plants were dried in oven at 70℃ in 48h. In each plant
type, the three-difference types of biomasses were            crop growth. The new event of installation
collected.                                                    presented the small graduation of the flow rate in
                                                              the box.
II.4. Analytical methods
                                                        125
                Table 3: CU Analysis
             Flow rate of old       Flow rate of new
             emitter (F1)           emitter (F2)
             (ml/min)               (ml/min)
                                                        126
growth with the uniformity of 70-90%. The yields        Zhao, Weixia, Jiusheng Li, Yanfeng Li, and Jianfe
obtained R1 7000kg/ha, R2 6500kg/ha, R3 14000kg/ha.          ng Yin. 2012. “Effects of Drip System Unifo
However, the crop growth uniformity of Bok Choy is           rmity on Yield and Quality of Chinese Cabb
                                                             age Heads.” Agricultural Water Management
affected by insects so that lead to lower uniformity
                                                             110:118–28. doi: 10.1016/j.agwat.2012.04.00
despites the irrigation uniformity.                          7.
Acknowledgement
   We are thankful to ARES-CCD for financial
support for this research.
References
Attia, Samir S., Abdel Ghany M. El-Gindy, Hani
      A. Mansour, Soha E. Kalil, and Yasser E. A
      rafa. 2019. “Performance Analysis of Pressur
      ized Irrigation Systems Using Simulation Mo
      del Technique.” Plant Archives 19:721–31.
Bralts, Vincent F., and Charles D. Kesner. 1983.
      “Drip Irrigation Field Uniformity Estimation.
      ” Transactions of the American Society of A
      gricultural Engineers 26(5):1369–74. doi: 10.
      13031/2013.34134.
Li, Jiusheng. 1998. “Modeling Crop Yield as Affe
      cted by Uniformity of Sprinkler Irrigation Sy
      stem.” 38:135–46.
Phengphaengsy, Fongsamuth, and Hiroshi Okudair
      a. 2008. “Assessment of Irrigation Efficienci
      es and Water Productivity in Paddy Fields in
       the Lower Mekong River Basin.” Paddy an
      d Water Environment 6(1):105–14. doi: 10.1
      007/s10333-008-0108-z.
Zhao, Weixia, Jiusheng Li, Yanfeng Li, and Jianfe
      ng Yin. 2012. “Effects of Drip System Unifo
      rmity on Yield and Quality of Chinese Cabb
      age Heads.” Agricultural Water Management
      110:118–28. doi: 10.1016/j.agwat.2012.04.00
      7.
(Phengphaengsy and Okudaira 2008)
Attia, Samir S., Abdel Ghany M. El-Gindy, Hani
      A. Mansour, Soha E. Kalil, and Yasser E. A
      rafa. 2019. “Performance Analysis of Pressur
      ized Irrigation Systems Using Simulation Mo
      del Technique.” Plant Archives 19:721–31.
Bralts, Vincent F., and Charles D. Kesner. 1983.
      “Drip Irrigation Field Uniformity Estimation.
      ” Transactions of the American Society of A
      gricultural Engineers 26(5):1369–74. doi: 10.
      13031/2013.34134.
Li, Jiusheng. 1998. “Modeling Crop Yield as Affe
      cted by Uniformity of Sprinkler Irrigation Sy
      stem.” 38:135–46.
Phengphaengsy, Fongsamuth, and Hiroshi Okudair
      a. 2008. “Assessment of Irrigation Efficienci
      es and Water Productivity in Paddy Fields in
       the Lower Mekong River Basin.” Paddy an
      d Water Environment 6(1):105–14. doi: 10.1
      007/s10333-008-0108-z.
                                                  127
      The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                         Jointly held with
              th
        The 5 International Symposium on Conservation and Management of Tropical Lakes
                         “Insights and Challenges toward Achieving SDGs”
      Groundwater Quality Assessment in the coastal area of Preah Sihanouk and Kampot
                                  province, Cambodia
 Sovandy Sem1, Ech Chin2, Thida Khoeun2, Ratha Doung2, Kong Chhuon2, Sambo Lun2, Sytharith Pen2, Ratino
                                 Sith2, Sylvain Massuel3, Khy Eam Eang2*
  1
   Master of UWE, Graduate School, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86,
                                              Phnom Penh, Cambodia
2
  Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Russian Federation B
                                    lvd., P.O. Box 86, Phnom Penh, Cambodia
3
  UMR G-EAU, IRD, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, Phnom Penh, Cambodia
                                                         128
leading to a shortage. Within the coastal zone, the major       atomic absorption spectrophotometer (AAS, Shimadzu AA-
cause of groundwater pollution is seawater intrusion. Over-     7000).
exploitation may be an extreme issue that affects the
                                                                2.3. Analytical methods
potability of water. Hydrogeochemical processes are
controlling components of water chemistry [3]. The present      In this study, the groundwater was taken from the well by
study was carried out in the coastal area (Sihanoukville) in    pumping or drawing water with a bucket/container in case
order to analyze water quality. The seawater intrusion was      of no pumping machine. At the same time, four parameters
reported from this area by international organizations [2].     such as pH, ORP, conductivity, and temperature were
Essentially, a few groundwaters actually contain                measured at situ by EXO Sondes YSI.
constituents of well-being concern, and a few well waters at    The alkalinity was analyzed only with water samples that
Sihanouk Ville which is used for the household is sometimes     had pH greater than 4.5, while water with pH lower than 4.5
not known whether its quality is fulfilled with the standard    was assumed that no alkalinity in the water [4]. The
of drinking water. Subsequently, understanding the effect of    measurement was divided into 4 steps including: Sulfuric
groundwater on public health is exceptionally valuable. It is   acid preparation, calibration of pH meter, alkalinity
exceptionally useful to be known all these specified issues.    measurement, and alkalinity calculation.
So, the present study was conducted with an objective to        + AAS analysis for the heavy metals: Each water sample
evaluate groundwater chemistry and water quality in the         was filtered 0.45 μm membrane after adding 0.05 ml of nitric
coastal area of Preah Sihanouk and Kampot province which        acid (65% of 𝐻𝑁𝑂3). The accuracy of the AAS result was
focuses on the current status of the integration of             confirmed by maintaining the 𝑟2 value of the calibration
groundwater with seawater intrusion and the suitability of      curve at least 0.99.
drinking water quality compared to WHO standard.
II. Materials and Methods
2.1. Study Area
    The study was conducted along the Cambodia’s coastal
aquifers (Fig. 1) which include Preah Sihanouk and Kampot
province. There are 51 groundwater samples were collected
from tube wells and dug wells with several sources like
household, community, and rural supply well by 39
locations in Sihanouk Ville and 12 locations in Kampot.          Fig. 2. AAS machine used for Fe, Mn, and As analyses
                                                                Straightway, to survey drinking water this study has utilized
                                                                the current information to compare with Cambodia Drinking
                                                                Water Quality Standard (DWS) and World Health
                                                                Organization (WHO) as shown in Table 1.
                                                                III. Results and Discussion
                                                                3.1. Current status of water quality
                                                                    In-situ measurement of the groundwater quality
                                                                conducted by EXO shows that pH value ranged out of the
                                                                allowable limit of DWS and WHO of drinking water (Fig. 3
                                                                and Table 2). Well water in Kampot was strongly acidic to
                                                                slightly alkaline with the pH. In comparison to Sihanouk
                  Fig. 1. Map of study area                     Ville, the pH was slightly acidic to neutral in the pH range
                                                                of 4.83 to 7.1, respectively. According to Appelo and Postma
2.2. Experimental set-up                                        (2005), the pH ranges <6.3 resulted in abundant carbonic
    Physicochemical properties include TDS, ORP, Temp,          acid (H2CO3), indicating that wells from Sihanouk Ville and
pH, Turbidity and Conductivity were analyzed in-situ using      Kampot contained H2CO3. In comparison, dug/tube wells
YSI EXO2 multi-parameter instrument. Then, well water           from Sihanouk Ville obtained higher HCO3- due to pH
sample were analyzed in SATREPS laboratory of Institute         ranged from 4.83 to 7.1. The concentration of Fe and Mn
of Technology of Cambodia. Alkalinity was determined by         perhaps elevated in well water from Kampot due to acidic
0.01M sulfuric acid titration, harmful substances [Arsenic      water [5].
(As), Iron (Fe), and Manganese (Mn)] were analyzed by           Electrical Conductivity: The value of each well water
                                                                sample in both areas slightly fluctuated. Also, the twelve
                                                         129
sampling in Sihanouk Ville and Kampot location have high         Total Dissolved Solids: The TDS distribution in Sihanouk
EC especially found in well F2W2, F3W2, F1W12, F1W15,            Ville exhibited of a minimum 44 mg/L, a maximum of 1390
F3W14, and F3W20. The other sampling was exceeded the            mg/L and a mean of 295.33 mg/L. The value of TDS in
desirable limit in drinking water of WHO, 250 μS/cm.             Kampot ranged from 17 mg/L to 3212 mg/L with a mean of
Oxidation-reduction potential (ORP): In Sihanouk                 660.66 mg/L. In Kampot, the TDS values were higher than
Ville, the ORP value ranged from -49 to 207.2 mV with a          in Sihanouk Ville. The concentration of TDS in this study
mean is 95.83 mV. In Kampot, the ORP varied from -42 to          site slightly fluctuated between Sihanouk Ville and the
211.3 mV with average is 112.76mV. The ORP value the             Kampot location.
higher than in Sihanouk Ville. Perhaps, the concentrations       Alkalinity: The wells contain low alkalinity with low pH,
of manganese probably released from the manganese rock           indicating corrosive concern. Fig.5. illustrated the detailed
into the wells due to having ORP negative [6]. So, other well    result of alkalinity from Sihanouk Ville. Water samples
numbers may obtain more manganese concentration than             contained higher alkalinity may be affected by the presence
other wells.                                                     of bicarbonate and carbonate.
                                                                 3.2. Heavy metals
                    Preah Sihanouk
      8
      7                                                          Manganese (Mn): The manganese for drinking purposes
      6                                                          was recommended by the Cambodia standard and WHO, 0.1
      5                                                          mg/L and 0.5 mg/L, respectively. Fig.6. illustrated the
      4
      3                                                          concentration of Mn distributed in all water samples from
 pH
 Table 2. Ranges of physicochemical parameters and their comparison with MIME and WHO standards for drinking water
 Site                       Temp (C) Cond (µS/cm) TDS (mg/L)               pH     ORP (mV)      Turbidity (FUN)
 Preah             Min         27.5           16.1              11         3.82       -49              -4.69
 Sihanouk         Mean         29.2          304.85          187.52        5.94     95.83              61.35
                   Max         40.1          2294.4           1390         7.61     207.2             1202.4
 Kampot            Min         28.8           28.1             17          3.89       -42              -3.65
                  Mean         29.6          294.12          660.66        5.42     112.76             2.99
                   Max         30.7          1390.5           3212         7.23      211.3             24.73
 MIME/WHO                       -             250              800        6.5-8.5      -                 5
 -: not mentioned
                                                          130
                                             Kampot                                                                     Preah Sihanouk
                        30                                                                                 75
                        25                                                                                 65
Turbidity (FNU)
                                                                                         Turbidity (FNU)
                        20                                                                                 55
                        15                                                                                 45
                                                                                                           35
                        10
                                                                                                           25
                         5                                                                                 15
                         0                                                                                  5
                        -5                                                                                 -5
Fig. 4. Result of turbidity in Kampot and Preah Sihanouk, dash-red line means maximum value of Cambodia drinking standard
                        1.5
                                                                                       Acknowledgement
                          1
                        0.5                                                                We are thankful to the Science and Technology Research
                          0                                                            We are thankful to the 4-C water project for the financial
                                                                                       support under the management of Institut de Recherche pour
                       -0.5
                                                                                       le Développement (IRD).
                                                                                       References
                                              Water samples
                                                                                       [1] Kazakis, N., Voudouris, K. S. (2015). Groundwater
                              Fig. 5. Result of alkalinity at Sihanouk                      vulnerability and pollution risk assessment of porous
                                                                                            aquifers to nitrate: Modifying the DRASTIC method
                                             Preah Sihanok                                  using quantitative parameters. Journal of Hydrology,
                       0.5                                                                  525, 13-25.
                                                                                       [2] Rizvi, A. R., Singer, U. (2011). Cambodia Coastal
 Mn (ml/l)
                                                                              131
  The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                     Jointly held with
          th
    The 5 International Symposium on Conservation and Management of Tropical Lakes
                     “Insights and Challenges toward Achieving SDGs”
_________________________________________________________________________
* dykimsreang168@gmail.com
Abstract
    Understanding the performance of soil water dynamic is important for agricultural and water resources
management. Dealing with the infiltration process and its prediction is an important topic for current
research. The objective of the study is to characterize water dynamic in two distinct soils in urban garden by
using HYDRUS 1D. Infiltration experiment loam and sandy soils was conducted at Soil laboratory at Institute of
Technology of Cambodia. Mini-tension infiltrometer was used to measure the soil infiltration process. The data
from experiment was used to test the Hydrus 1D model. The result of simulation of infiltration shown that
Hydrus 1D has capability to simulate the infiltration well.
   I.    Introduction
                                                           conditions flexibly (Simunek et al. 2008). It has
    In Cambodia, irrigation is a significant water-        been used worldwide and achieved a great deal
related activity, especially in urban area where           of valuable research results.
agriculture cannot exist without adequate                  There is still the need of understa
irrigation. To manage efficient water use irrigation,      nding of infiltration process from different soil
infiltration is crucial part to be defined. For            especially in urban garden.
studying water movement Characteristics in                     In this research, we conducted a field
infiltration process, numerical simulation has             infiltration experiment of sandy soil and loam
become an important technique. The HYDRUS                  soil of greenhouse garden at soil laboratory of
model can simulate water infiltration in the               Institute of technology of Cambodia. The ability
variable saturated zone with the term source and           of applying Hydrus 1D to simulate the
sink considered and manage different boundary              infiltration process is our research question.
                                                    132
     II.   Methodology
 b                                                                   =                          h>0
 )
 Figure 1. Experimental design
                                                                           h≤0
                                                         Where h is the soil water pressure head (cm), is the
      2.2 Mini-disc infiltrometer                        water content (cm3/cm3), r and s are the residual
                                                         and saturated water contents (cm3/cm3),
       Mini-disc infiltrometer is an device used to      respectively, ˛, m and n are empirical parameters
measure the rate of water infiltration into soil or      and m=1 − 1/n.
other porous media.
                                                                          =                         ά h>1
                                                   133
                                                              result needs to be calibrated by the oven dry to
       Where h is the soil water pressure head, θ is          confirm this properties. It is reasonable that Ks
the volumetric water content, t is time, z is the             suggested by model proposed the small value from
vertical coordinate with the origin at the soil               loam soil and high value from sand soil with Ks f
surface (positive upward), and K(h) is the                    0.0029 mm/s and 0.0825 mm/s respectively.
unsaturated hydraulic conductivity. For the                   Where α’ is an empirical parameter (1/cm) and it is
experiment studied, the initial condition and upper           the reciprocal of ha, ha is often referred to as the
boundary condition were:                                      air entry value (cm), and is the pore-size
       h(z, 0) = hi(z)                                        distribution parameter affecting the slope of the
       h(0, t) = h0                                           retention function.
       Where hi(z) is the initial soil water pressure         The unsaturated hydraulic conductivity of each soil
head through the soil column, and h0 is the soil              layer can be expressed as (van Genuchten et al.,
water potential at soil surface.                              1991):
       The free drainage was to be considered as
lower boundary condition: ∂h/∂z=0.
       The soil profile was 20 cm depth.                               Ks{1 − ( h)mn [1 + ( h)n]−m}2
                                                              K(h) =
         α’h ≤ 1                                                       [1 + ( h)n] m
III. Results
The results of estimation of hydraulic properties from the experimentation were shown in the Table 2. The model
proposed the same soil moisture contents of the two different soils, e.g. loam and sand. This is the first
proposition. However, this result needs to be calibrated by the oven dry to confirm this properties. It is
reasonable that Ks suggested by model proposed the small value from loam soil and high value from sand soil
with Ks f 0.0029 mm/s and 0.0825 mm/s respectively.
         Values of soil hydraulic parameters as obtained from the HYDRUS-1D (θr is the residual water content,
θs s the saturated water content, α, n, and l are empirical parameters, and Ks is the saturated soil hydraulic
conductivity).
                                                    134
     1. Infiltration process simulated
 -  Loam Soil
                                                                    Bottom Flux
    Cumulative infiltration increased from 0sec
    to <250 (figure 3).                                                 0.00000005
    The      Loam     Soil    Pressure    Head
                                                                        0.00000000
    concentration was drop down slowly from
    h > 75 mm to nearly 250 sec. And the data                           -0.00000005
60 22
                                                                            20
      55
                                                                            18
      50                                                                    16
           0   50    100      150       200     250     300
                           Time [sec]                                       14
                                                                            12
           Figure 4. Pressure Head of Loam Soil
                                                                            10
                                                                                 0     10    20       30         40     50     60
                                                                                                  Tim e [sec]
                                                              135
                                                                    further work is to calibrate and validate the
This saturation persisted less than 60mm. Very                      performance of the model with statistical analysis.
slight changes in soil water pressure head during
storms effected relatively large changes in both                       Acknowledgement
magnitude and direction of water flux.
                                                                       We are thankful to the Science and Technology
The results of this experiment differed significantly
 Bottom Flux                                                        Research Partnership for Sustainable Development
between Sand soil and Loam Soil.
                                                                    (SATREPS), the Japan Science and Technology
      0.00000000
                                                                    Agency (JST)/Japan International Cooperation
      -0.00000001
                                                                    Agency (JICA) for their financial support.
      -0.00000002
      -0.00000003
                                                                       References
      -0.00000004
      -0.00000005
                                                                        Bouwer, H., 1986. Intake rate: cylinder
      -0.00000006                                                   infiltrometer. Methods of Soil Analysis: Part 1
      -0.00000007                                                   Physical and Mineralogical Methods, 5, pp.825-
      -0.00000008                                                   844
                     0    10      20       30   40      50    60
                                                                        http://www.fao.org/3/r4082e/r4082e03.htm#2.2.
                                      Time [sec]
              Fig8: Bottom                                          1%20the%20infiltration%20process
  Surface Pressure  Head Flux of Sand Soil                              https://www.sciencedirect.com/topics/earth-and-
                                                                    planetary-sciences/infiltrometer.
       80
                                                                        Šimůnek, J., M. Šejna, H. Saito, M. Sakai, and
       70                                                           M. Th. van Genuchten, The HYDRUS-1D software
       60                                                           package for simulating the one-dimensional
       50
                                                                    movement of water, heat, and multiple solutes in
                                                                    variably-saturated media, Version 4.0, Hydrus
       40
                                                                    Series 3, Department of Environmental Sciences,
       30                                                           University of California Riverside, Riverside, CA,
       20                                                           USA, 2008.
                                                                        Šimůnek, J., M. Th. van Genuchten, and M.
       10
                                                                    Šejna, Development and applications of the
            0   10       20      30        40      50    60
                                                                    HYDRUS and STANMOD software packages, and
                              Time [sec]
       Fig.7. Surface Pressure Head of Sand Soil                    related      codes,    Vadose     Zone     Journal,
                                                                    doi:10.2136/VZJ2007.0077, Special Issue “Vadose
                                                                    Zone Modeling”, 7(2), 587-600, 2008.
   IV. Conclusion                                                       Van Genuchten, M.V., Leij, F.J. and Yates,
                                                                    S.R., 1991. The RETC code for quantifying the
    In this study, the infiltration process has been                hydraulic functions of unsaturated soils.
conducted at institute of technology of Cambodia.
Hydrus 1D has been used to simulate the water
dynamic of the process. The result proposed that
saturated conductivity simulated for sandy soil was
28 time of the loam soil with a value of 0.0825 and
0.002 respectively.
    The sandy soil pressure head decreased sharply
with time compared to the loam soil. However, our
                                                              136
       The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                          Jointly held with
               th
         The 5 International Symposium on Conservation and Management of Tropical Lakes
                          “Insights and Challenges toward Achieving SDGs”
        Rajendra Khanal 1*, Pham Quy Giang 2, Binaya Kumar Mishra 3, Ratino Sith 4, Soly Siev 5, Varinthorn
                       Boonyaroj 6. Vannak Ann 7, Vengsong Khov 8, Jorge Garcia-Hernandez 1
  Department of Civil and Environmental Engineering, School of Environment and Society, Tokyo Institute of T
  1
 echnology, 2-12-1-M1-4, Ookayama, Meguro-ku, Tokyo, 152-8552, Japan; 2 Faculty of Environment, Ha Long
 University, Vietnam; 3 Faculty of Science and Technology, Pokhara University, Nepal; 4 Faculty of Hydrology a
 nd Water Resources Engineering, Institute of Technology of Cambodia, Phnom Penh, Cambodia; 5 Department
 of Science, Technology & Innovation Policy, Ministry of Industry, Science, Technology and Innovation, Cambo
 dia; 6 Faculty of Science and Technology, Rajamangala University of Technology, Bangkok, Thailand; 7 Water
 and Environment Unit, Institute of Technology of Cambodia, Phnom Penh, Cambodia;8 Tonle Sap Authority, Mi
                             nistry of Water Resources and Meteorology, Cambodia
Keywords: Coral bleaching hotspot, covid-19 pandemic, sea surface temperature, National Oceanic and Atmospheric
      Administration, Coral Reef Watch, gulf of Thailand, south China sea
Acknowledgement
Authors would like to express gratitude to Asia-Pacific Network for Global Change Research for funding this project -
"Collaborative Research Platform to Manage Risk and Enhance Resilience of Coral Reef in Southeast Asia, CRRP2019-
08MY-Khanal". Acknowledgements also goes to National Oceanic and Atmospheric Administration, Coral Reef Watch for
the data
                                                          137
                                   No data 0         1   2          3   4     5 OC
               20
1 November
20
                    0
                                                                                             0
               -20
                                                                                             -20
               20                                                                                20
1 September
0 0
-20 -20
               20                                                                                20
1 July
                0
                                                                                                 0
              -20
                                                                                                 -20
               20                                                                                20
 1 May
0 0
-20 -20
              20                                                                                 20
1 March
0 0
-20 -20
               20                                                                                    20
1 January
                   0
                                                                                                     0
               -20                                                                                   -20
                        80         100         120       140   80       100          120   140
Fig. 1. Coral bleaching hotspot mapping in the year 2019 (pre-pandemic) and 2020 (during pandemic) based on sea surface
temperature modelled data by National Oceanic and Atmospheric Administration Coral Reef Watch.
                                                                                            138
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Abstract
    Tourism plays an important role in the economic development of the country. Tourism contributes to as much as 7% of
Thailand national GDP. Pristine beaches in Thailand attracts millions of tourists every year. On one hand, local economy is
booted with tourism. Contract to that, over-tourism may lead to stress on the local environment. One of the classical examples
of impact of over tourism on the environment is the degradation of pristine beach and coral communities in the Maya bay, Phi
Phi Leh, southern Thailand. This paper, aims to analyze the paradox of over-tourism, income opportunities and the impact on
coral community in Maya bay, based on the literatures. Ever since, Maya bay was known to the world in early 2000’s, the
number of tourists visiting there every day increased by close to 3000-fold in the last 20 years. Though, tourism helped to
increase the local economy dramatically, later, due to impact of probably over exploitation of corals from snorkeling and
diving, and wash-off of the toxic UV-filters led to bleaching of the corals. Most of the corals were dead in 20 years of tourism
exploitation by 2017. Government of Thailand came up with the strategy to ban Maya bay as a tourist hotspot, and promoted
coral recovery. Because of the solid policy, and action plan of the multiple stakeholders, in the last three years, corals has been
significantly recovered. This paper discusses about the strength, weakness, challenges, opportunities and threat of the action
plan in restoring coral community in Maya bay.
Keywords: Maya bay, UV-filters, coral planting, bleaching, over-tourism, stakeholder management
                                                           139
and fluorescence. The unique fluorescence of the corals, and      touch, BBC, 20 February 2019)
the huge diversity of aquatic flora and fauna are depended
on the reef build by the corals. Some of these corals grow at         The representative figure for the over-tourism in Maya
a very slow rate, about 5mm per year, and it takes hundreds       bay is shown in Fig. 1. Prior to 2000s, Maya bay was pristine.
and thousands of years to build the reefs. These reefs made       During early 2000s, by 2008, around 30% of the coral were
by the corals supports ecosystem both in land and water.          bleached. The number of tourists in early 2000 used to be
With an urbanization, unplanned growth, discharge of              less than 10, it rose to around 170 by 2008, and by 2017,
municipal solid waste and wastewater, marine plastics,            number of tourists rose to as much as 4000. The beach in
coupled with climate change has brought tremendous stress         itself is around 200m. As much as 18 million tourists were
to the coral community                                            reported to visit Maya bay, Phi Phi Island in 2017 [3]. This
    One of the most popular tourism spots in Thailand is the      huge number of people in such a confined area exerted
pristine white sandy beaches. May bay in Phi Phi island lies      tremendous pressure on the coral environment. The increase
in the Krabi Province, southern part of Thailand lies at 7° 40'   in tourism, though significantly led to increase in local
44.0004'' N and 98° 45' 53.9964'' E. The economic value of        economy, however also led to some serious problems like,
coral tourism in Phi Phi island amounts to as much as USD         disposal of solid waste at the beach, degradation of water
300 mil (approximate value in 2020, based on 110 mil in           quality, and coral bleaching. The rate of coral bleaching, and
2003) [1].                                                        haphazard waste along the Maya bay beach continuously
    The main factors that led to destruction of corals in Maya    increased, as a result, close to 90% of the corals were
bay are, i) pollutants from wash-off of UV-filters used to        degraded by early 2010. Still, due to popularity of the beach,
prevent sunburn, ii) leakage of the boat gasoline, iii)           led to increase in number of tourists. By 2015, almost all
recreational activities including jetski, boat, yachts,           corals were bleached. This send an alarming message, as a
speedboats, and iv) mechanical destruction of corals during       result, Government of Thailand proposed a policy to
diving, anchors, and propellers.                                  completely banned tourism in Maya bay in 2018. Slowly and
    The main objective of this paper is to review the policies    steadily corals are being restored. However, recovery is a
behind promotion of tourism, over-tourism impact on               slow process.
environment and the economy, and critical analysis of
restoration policies in conservation of corals in Maya bay.       2.2. Economic aspects of tourism
                                                                  According to the data of Ministry of Tourism and Sports,
II. Discussions                                                   Thailand, the number of tourists visiting Thailand has
                                                                  increased dramatically in the last 50 years. It used to be less
2.1. Over-tourism in Maya bay                                     than 100,000 in 1960, and has increased to 10 million by
       2008                      2017                             2000. Furthermore, with intensive tourism marketing,
                                                                  Thailand welcomed close to 40 million tourists in 2018. This
                                                                  makes Thailand one of the most popular tourist spots in the
                                                                  world. Most of the tourists do visit the white sandy Thai
                                                                  beach - railway beach, Koh Phi Phi, Tonsai beach, etc. At
                                                                  Maya bay, local government charges ~ 14 USD per person
                                                                  to visit the beach, and with close to 4000 people visiting
                                                                  Maya bay every day, the amount of revenue generated per
                                                                  day is quite huge ~ 56,000 USD. Tourism can have multiple
                                                                  impact on environment, economic, local community,
                                                                  infrastructure including hotel, transportations, transportation,
                                                                  ecosystem services, all of which are again interrelated and
                                                                  interdependent.
                                                           140
tourism on ecosystem services in Maya bay. The steps taken        sustainable tourism. Qualitatively, it can be said as the
by the Thai government in preserving corals in Maya bay           maximum number of tourists that can be handled by
includes, initiation of fine by the local environmental           operating sites, without hampering the aesthetic tourism
authorities of ~ 18 USD to boat operators who throw anchors       quality. Koh and Fakfare (2019) recently proposed the
into the water, waste collection bin, banning on fishing and      unique strategy for the stakeholder management for the
construction. It was however difficult to follow the              restoration of Maya bay – the BRAVE framework consisting
implementation, due to lack of manpower on monitoring,            of business, residents, authorities, visitors and
and also ignorance from the tour operators. Even, some tour       environmentalists [6]. The interests of different stakeholders
operators, who used to bring lots of tourist, continued to pay    are different. Since, a beach area is quite open. It is nearly
fine and breached the directives. Following a series of           impossible to restrict the number of people entering such
campaigns by the environmentalist, Thai government                kind of open area, it all depends on concept of “responsible
banned a visit to Maya bay by judicatory order in June 2018,      tourism”, whereby the BRAVE framework proposes the
firstly for a period of 6 month, and later from Oct 1, 2018       integrated action plan to limit the number of visitors at a
has been closed indefinitely [3].                                 particular site, perhaps alternate spots of tourism sites,
                                                                  proper waste collection strategy, and promoting the use of
    2.3.1 Engineering aspects of coral restoration                non-toxic UV-filters.
A number of reports are available on the coral restoration
strategies, among them a study by Boström-Einarsson et al.,                                               Residents
(2020) seems quite comprehensive [4]. One of the biggest
problems in coral restoration is that, each restoration is seen
as a project lasting 6 to 24 months. A restoration of up to 12
years has been done in Caribbean coral reefs, which was
though successful but was not a solution to restore coral
community. The restoration methods can be divided into                                     Societal -
                                                                                        transformation
physical, biological and structural restoration. Some of the
restoration strategies as proposed by Boström-Einarsson et
al., (2020) includes direct transplantation of coral, coral                                              Visitors
gardening, micro-fragmentation, genetic diversity in asexual
propagation, larval enhancement, artificial reefs, and
substratum stabilization.                                         Fig. 2. Conceptual framework for achieving sustainable
                                                                  tourism (Adapted from [6], Koh and Fakfare (2019).
    2.3.2 Japan experience on coral restoration                   (Unscaled / qualitative figure)
In Japan, the action plan to conserve coral reef ecosystem [5]
has been focused on three priority issues, i) measures against        The framework for the sustainable tourism is shown in
negative impact from runoff, ii) promotion of regional            Fig. 2. The concept is adapted from BRAVE framework
economy through sustainable tourism, and iii) promotion of        proposed by Koh and Fakfare, 2019. The green circle
harmonic relationship between community and ecosystem.            represents the interdependency of the BRAVE stakeholders.
The basic action to realize above three priority issues           The tourism business can be checked by the authorities by
includes, information sharing, awareness training,                the legislation. The aim of this legislation should not be to
communication outreach, capacity development, restoration         grip business, but provide the competitive access for
projects, planned urbanization and coastal reconstruction,        business opportunities to all the interested one. The three
water quality conservation, surveillance and monitoring,          other players, residents, visitors and environmentalists sole
treatment of effluents, sustainable use of marine ecosystem       depend on the societal-transformation strategy, which means
services, and follow up and review.                               to take responsibility for the conservation of environment,
                                                                  without unduly compromising on one’s wish, to promote
2.4. Sustainable tourism                                          responsible tourism.
    It is really quite complex to define the indicator for
                                                           141
2.5. SWOT analysis                                                 the beaches affected by over tourism. Conservation strategy
    The SWOT analysis of the conservation strategy taken           should be extended to all the beaches, in the form of
by the Thai authorities is given in Table 1. The strong            sustainable and responsible tourism.
government approach in conservation, and availability of
plenty of alternative tourist spots are the strength and           Acknowledgement
opportunities of the project. Training of the tour operators,
                                                                      Authors would like to express gratitude to Asia-Pacific
and maintaining database on spatio-temporal variation of
                                                                   Network for Global Change Research for funding this
tourist visit, frequency, time period is a challenge and a
                                                                   project - "Collaborative Research Platform to Manage Risk
weakness. However, definition of sustainable tourism in
terms of quantitative variables is really complicated. The         and Enhance Resilience of Coral Reef in Southeast Asia,
proper balance between SWOT will lead in success of the            CRRP2019-08MY-Khanal".
conservation strategy.
                                                                   References
 Table 1. SWOT analysis of coral restoration strategy in
 Maya bay, Thailand                                                    [1] Christiernsson, A. 2003. An Economic valuation
           Strength                  Weakness                              of the coral reefs at Phi Phi Island, master’s thesis,
 • Strong government and     • Quantitative                                Department of business administration and
 local people support        parameters to define                          spocial sciences, Lulea university of Technology,
 • Funding opportunities for sustainable tourism                       [2] Saira Asher, the beach nobody can touch, BBC,
 the restoration,            • Qualitative and
                                                                           20 February 2019) assessed December 10, 2020
 • Alternate tourism         quantitative measure to
 opportunities               define pollution, and                         and available at
                             economy                                       https://www.bbc.co.uk/news/resources/idt-
        Opportunities                  Threat                              sh/the_beach_nobody_can_touch
 • As a model site for       • Poacher tourism                         [3] SeATM, 2018. South east asia tourism monitor,
 studying case of over-      • Continuity of the                           briefing on tourism, development and
 tourism                     preventive measures                           environment, Vol. 9, No.3, May – June 2018
 • Multiple stakeholder      • Change in policy due                    [4] Boström-Einarsson L, Babcock RC, Bayraktarov
 engagement                  to socio-economic
                                                                           E, Ceccarelli D, Cook N, Ferse SCA, et al. (2020)
 • Consensus between         pressure
 government, tourism         • Lack of trainings on                        Coral restoration – A systematic review of current
 operators, and local people sustainable tourism                           methods, successes, failures and future directions.
                                                                           PLoS ONE 15(1): e0226631
III. Conclusion                                                        [5] MOE, 2017. The Action Plan to Conserve Coral
                                                                           Reef Ecosystems in Japan 2016 – 2020.
    There are 11 strategies proposed by the United Nations                 Biodiversity       Policy       Division,     Nature
World Tourism Organization to manage over-tourism, some                    Conservation Bureau, Ministry of the
of which includes, promotion and dispersion on a time and                  Environment, Japan
location basics, visitor segmentation, review of the policies,         [6] Koh, E., & Fakfare, P. (2019). Overcoming “over-
and establishment of the surveillance and monitoring                       tourism”: The closure of Maya Bay. International
mechanism [7].                                                             Journal of Tourism Cities, 6, 2, pp. 279-296
    Impact of restoration policies are promising, and                      [7] World Tourism Organization (UNWTO);
significant improvement in coral community and water                       Centre of Expertise Leisure, Tourism &
quality has been observed in two years in Maya bay.                        Hospitality; NHTV Breda University of Applied
However, it is still early days of coral restoration, which is a           Sciences; and NHL Stenden University of Applied
time-consuming process. Hence, all the stakeholders should                 Sciences (2018), ‘Overtourism’? – Understanding
be patient, and the decision to resume tourism in Maya bay                 and Managing Urban Tourism Growth beyond
should be supported by the quantitative evidence-based                     Perceptions, Executive Summary, UNWTO,
policies, and quantitative indicators. Maya bay is just one of             Madrid
                                                            142
Session 3: Lake Environment
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                         Jointly held with
      The 5th International Symposium on Conservation and Management of Tropical Lakes
                         “Insights and Challenges toward Achieving SDGs”
                   1
                     Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                         Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                   2
                     School of Life Science and Technology, Tokyo Institute of Technology, 4259 J3-8
                                  Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan
     3
         Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                   Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                           * Corresponding author: rtan@itc.edu.kh
Abstract
    The conventional treatment practices by villagers of usage alum can cause overdosing of concentration of alum
since it can cause the water taste to be sour and is considered as the health risk in drinking water such as vomiting,
diarrhea, mouth and skin ulcers, and so on. Therefore, the objective of this study was conducted by comparing the
effects of yellow PAC and white PAC in removing turbidity, changing pH value, and settling time and the effects
of using Ca(OCl)2 in removing bacteria in lake water to develop a package containing PAC and Ca(OCl)2 . To
achieve these objectives, the lake water sample was treated with the yellow PAC and white PAC. Two methods
were used in bacteria removal, sole using of Ca(OCl)2 and dual using of Ca(OCl)2 with PAC. As a result, the
highest efficiency of turbidity removal was within 97.66–99.89% and 91.55–99.88% for yellow and white PAC,
respectively between the settling time of 60–120 mins. The changed of pH for yellow PAC complied with the
standard for drinking water which is 6.5–8.5, while the pH for white PAC did not comply with the standard. For
the results of bacteria removal, 100 % of E. coli was removed in both methods and 98.8–99.4% for the first method
and 96.3–99.4% for the second method of total coliform removal were achieved. Overall, yellow PAC showed the
better performance in removing turbidity, subsequently the second method of bacteria removal showed the best
settling time is 60–120 mins. Moreover, yellow PAC has gradually changed in pH and adjusting pH was not need.
Finally, It was conducted the net contents of one package are 12.75g which is contained yellow PAC and
Ca(OCl)2 for treating 100 L of lake water.
Keywords: Bacteria removal, E. coli, Settling time, Total coliform, Turbidity removal.
                                                       143
in the water, the greater turbidity of the water will be high.   solution was contained 10 mg, therefore, the added 1 %
The familiar pollutant to turbidity is organic matter which is   solution to 1 L of water is 10 mg/L.
a major cause of the quality of surface water. Turbidity is      2.2.2. Calcium hypochorite (Ca(OCl)2)
generally source from the small discrete mass of solids in the       0.1 g of calcium hypochlorite granule was suspended in
water which is connected with muddiness and color.               100 mL of distilled water to produce Ca(OCl)2 stock
Turbidity is commonly indicated by using turbidity meter.        solution and stirred at room temperature until it
Turbidity is described in the united that called a               homogenizes. 1 mL of stock was contained 1 mg. 1 ppm of
Nephelometric Turbidity Unit (NTU) or a Jackson Turbidity        free chlorine was obtained by diluted 5 mg (5 mL) of
Unit (JTU) [3].                                                  Ca(OCl)2 stock in 1 L of water (5 mg/L). This value was
    Coagulation and flocculation are utilized to remove the      obtained by an actual measurement using the N, N-diethyl-
organic matter from the water [4]. Coagulation and               ρ-phenylenediamine (DPD) method using the Free/Total
flocculation are taken place in serial steps that permit         Chlorine Colorimeter.
particle collision and growth into floc, then followed by        2.3. Experimental procedures
sedimentation. The serial steps are connected, if coagulation    2.3.1. Coagulation and flocculation experiments
is incomplete, the following steps are also incomplete and           The lake water sample was priority treated with
will be unsuccessful.                                            coagulants (yellow PAC and white PAC) to find the optimal
    Total coliform bacteria refer to a broad span of             dose in removing turbidity. High turbidity with 943 NTU of
facultatively anaerobic and aerobic, a large group of Gram-      lake water sample was diluted with distilled water to
negative, non-spore-forming bacilli have an ability for          obtained new initial turbidity 753 NTU, 558 NTU, and 341
developing in the presence of a comparatively high               NTU randomly. 500 mL of the sample of each condition of
concentration of bile salt with the process of fermenting of     initial turbidity was filled in 3 beakers and were treated with
lactose and a product of acid/ aldehyde in the limit of 24       two types of PAC products such as yellow and white to
hours at 35-37 °C [5]. Total coliform was presented in nature    indicate one suitable product to make the package for lake
such as soil, vegetation, and water. Normally, they are          water treatment.
located in fecal-polluted water and usually connected with a     2.3.2. Disinfection experiments
disease outbreak. Escherichia coli is a type of gram-negative    2.3.2.1. Sole using of Ca(OCl)2
bacilli of family Enterobacteriaceae [6]. In most water, the         The 500 mL of lake water sample was primarily treated
greater in number genus is Escherichia, and yet some species     with 120 mg/L of yellow PAC for 60 mins. 250 mL of water
of Citrobacter, Klebsiella, and Enterobacter are also            sample after treatment was taken into a new bottle and
thermotolerant. Escherichia coli can be distinguished from       treated with three different doses of Ca(OCl)2. The sample
the other thermotolerant coliforms by the capability to create   was stirred for 1 min within 200 rpm and set for the contact
indole from tryptophan or the creation of the enzyme β-          time for 60 mins.
glucuronidase [5].                                               2.3.2.2. Dual using Ca(OCl)2 with PAC
                                                                     500 mL of lake water sample was filled in 3 sterilized
II. Materials and Methods                                        bottles and treated with 120 mg/L of yellow PAC and stirred
                                                                 for 1min within 200rpm and then three different
2.1. Sampling sites
                                                                 concentrations of Ca(OCl)2 were added to the samples and
    Lake water was collected from Boeung Choeung Ek with
                                                                 continuously stirred for 2 min at the same stirring speed and
coordinate 11.466076, 104.914543 which is located Sangkat
                                                                 set for the contact time for 60 min.
Choeung Ek, Khan Dangkor, Phnom Penh during the rainy
                                                                 2.4. Analytical methods
season. The sample was collected in plastic bottles of 1.5 L.
                                                                 2.4.1. Turbidity measurement
After sampling, the sample was transported immediately to
                                                                     In each settling time, 10 mL of sample were collected at
ITC laboratory to analyze within a day.
                                                                 3 cm below the surface level. The turbidity measurement of
2.2. Preparation of stock solution
                                                                 treated water was measured by using HANNA-HI 98703
2.2.1. Polyaluminum chloride (PAC)
                                                                 Portable Turbidimeter in three replicates for accuracy. The
    1 g of PAC powder was suspended in 99 mL of distilled
                                                                 turbidity removal efficiency was calculated by using Eq.1.
water to produce a PAC stock solution of 1% and stirred at
room temperature until it homogenizes. 1 mL of 1% stock
                                                          144
                                  (𝑇4 − 𝑇6 )                         after treated for 120 min. For each figure, it was clearly
  𝑇𝑢𝑟𝑏𝑖𝑑𝑖𝑡𝑦 𝑟𝑒𝑚𝑜𝑣𝑎𝑙(%) =                      × 100      (Eq.1)
                                       𝑇4                            shown that each dose of yellow PAC is more effective than
where Ti and Tf are the initial and final turbidity, respectively    the dose of white PAC. Therefore, yellow PAC was chosen
2.4.2. pH measurement                                                due to its high effectiveness in turbidity removal comparing
     At the end of the experiment, the sample was taken to           to white PAC. Alternately, the comparison of all
measure the change of pH in using yellow and white PAC.              concentration dosages of yellow PAC was significant, thus
The measurement was done by using WM-32EP EC/pH                      the amount of yellow PAC between 60-120 mg/L can
meter.                                                               completely remove the turbidity with a range from 300-1000
2.4.3. Microbiological analysis                                      NTU to below 5 NTU.
     After each performed treatment, the samples were taken                                        (a) At initial turbidity 943 NTU                                                     (b) At initial turbidity 753 NTU
for total coliform and E. coli count. 100 mL of sample was                                      100                                                                                    100
                                                                                                                                                 99                                                            97
                                                                                                                                                 98
                                                                                                                   96                                                                                          96
                                                                                                                                                 97
III. Results and Discussion                                                                                        95                                                                                          95
                                                                                                                                                 96
    The physicochemical characteristics of the lake water                                                                                        95
                                                                                                                   94                                                                                          94
sample such as turbidity, pH, and bacteria (total coliform and                                                                       60
                                                                                                                                      94    80      100                                                              40     60      80
                                                                                                                                    Concentration
                                                                                                                                               80 (mg/L)      100                                                   120
                                                                                                                                                                                                                    Concentration (mg/L)
E. coli) were analyzed. After the measurement, the                                                                                                    Concentration (mg/L)
parameter of turbidity was 943 NTU and pH was 7.72, while
                                                                                                                                                      Yellow PAC                                               White PAC
the parameter of bacteria was 4.03´103 of total coliform and
2.37´102 of E. coli as illustrating in Table 1.
                                                                           Figure 1. Effect of yellow PAC and white PAC dosage
                                                                           on turbidity removal in varies condition of turbidity after
Table 1. Physicochemical characteristics of lake water
                                                                           treated for 120 mins
  Parameter                                       Value
                                                                     3.2. Effect of PAC on changing pH value
  Turbidity (NTU)                                   943                  As a result, in each initial turbidity, the change of
  Total coliform (CFU/100ml)                     4.03´103            pH in using each dose of yellow PAC was fallen into
  E. coli (CFU/100ml)                            2.37´102
  pH                                                                 the standard for drinking water 6.5-8.5. In contrast, th
                                                   7.72
                                                                     e change of pH when using each dose of white PAC
                                                                     was fallen out from standard that was allowed for dri
3.1. Effect of PCA on turbidity removal
                                                                     nking water except some doses of 100 mg/L, 80 mg/L,
    Figure 1 expresses in the effect of yellow PAC and white
PAC on turbidity removal in various conditions of turbidity          60 mg/L, and 40 mg/L. Therefore, using yellow PAC
                                                               145
has gradually changed in pH and it did need to adjust                                                                                                        IV. Conclusion
pH before or after treatment and it is suitable for the                                                                                                          The development of a package containing yellow PAC
small scale of drinking water treatment.                                                                                                                     and Ca(OCl)2 was made after this study. The package was
3.3. Effect of settling time in turbidity removal                                                                                                            forming where the net contents of one package are 12.75g
    the percentage of turbidity removal of using yellow                                                                                                      and capable for treating 100L of water. Additionally, yellow
PAC and white PAC gradually increased from low to                                                                                                            PAC displayed the better performance comparing to white
high dose from 15 min to 120 min of settling time. at                                                                                                        PAC in removing turbidity with more than 99% owing to the
 the settling time 60-120 min, the average of high re                                                                                                        various raw materials and producing methods. Thus, this
moval of turbidity is more than 99% in using yellow                                                                                                          made yellow PAC more suitable for drinking water process.
PAC and 98% of using white PAC.                                                                                                                              Also, the two methods of using Ca(OCl)2 showed a slight
3.4. Effect of Ca(OCl)2 on bacteria removal                                                                                                                  difference in removing bacteria with more than 98% in
    The     comparison     of    both     conditions    of                                                                                                   removing total coliform and 100% of E. coli.
using Ca(OCl)2 was clearly shown that the first method of
using only Ca(OCl)2 is more effective than the second                                                                                                        Acknowledgement
method of using Ca(OCl)2 with PAC. However, the second
                                                                                                                                                                 We are thankful to the Science and Technology Research
method of using Ca(OCl)2 with PAC with a dosage of 7.5
                                                                                                                                                             Partnership for Sustainable Development (SATREPS), the
mg/L had the same effect in reducing bacteria to the first
                                                                                                                                                             Japan Science and Technology Agency (JST)/Japan
method where 100
               99.4% in removing total coliform, and 100%
in removing E. 99
                coli.                                                                                                                                        International Cooperation Agency (JICA) for their financial
    (a)                      (b)                                                                                                                             support.
               98
                        100                                                                                   100
                                                                 97
                                                                                                               99                                            References
                                          Bacteria removal (%)
99
                                                                 96                                            98
                         98
                                                                                                               97
                                                                 95                                                                                          [1] Environmental Protection Agency, 2012. 5.5 Turbidity.
 Bacteria removal (%)
                         97
                                                                                                               96
                         96
                                                                 94
                                                                                                               95
                                                                                                                                                                 InWater:Monitoring&Assessment,https://archive.epa.
                         95                                      93                                            94
                                                                                                                                                                 gov/ water/archive/web/html/vms55.html (Consulted
                                                                 92
                                                                                                               93                                                on April 01, 2020).
                         94
                                                                                                               92                                            [2] Perlman, H., 2014. Turbidity. In the USGS Water
                         93                                      91
                                                                                                               91                                                ScienceSchool,http://ky.gov/nrepc/water/ramp/rmtss.h
                         92                                      90
                              Control     3.75                        5        7.5
                                                                          Control      3.75
                                                                                                               90
                                                                                                                       5
                                                                                                                   Control   3.75 7.5 5          7.5             tm (Consulted on April 01, 2020).
                               Concentration of Ca(OCl)2Concentration
                                                         (mg/L)                                                     Concentration of Ca(OCl)2 (mg/L)
                                                                                                               of Ca(OCl)2    (mg/L)                         [3] Fondriest Environmental, Inc, 2014. “Turbidity, Total
                                        Total Coliform                       E. coli                                   Total Coliform      E. Coli
                                                                               Total Coliform                              E. Coli                               Suspended Solids and Water Clarity.” Fundamentals of
   Fig. 2. Effect of Ca(OCl)2 on bacteria removal at the                                                                                                         EnvironmentalMeasurements,https://www.fondriest.c
contact time for 60 mins:(a). The first method of using only                                                                                                     om/environmentalmeasurements/parameters/water-
 Ca(OCl)2 and (b).the second method using Ca(OCl)2 with                                                                                                          quality/turbidity-total-suspended-solids-water-clarity/
                           PAC.                                                                                                                                  (Consulted on March 29, 2020).
                                                                                                                                                             [4] Prakash, N.B., 2015. Waste Water Treatment by
3.5. The packages of yellow PAC with Ca(OCl)2                                                                                                                    Coagulation and Flocculation. International Science
                                                                                                                                                                 and Innovative Technology (IJESIT), 3, 479.
                                                                                                                                                             [5] World Health Organization, 2011. Guidelines for
                                                                                                                                                                 drinking-water quality-4th ed. WHO Library
                                                                                                                                                                 Cataloguing-in-Publication Data, 1–564.
                                                                                                                                                             [6] Bhavsar, S., and Krilov, L., 2015. Escherichia coli
                                                                                                                                                                 Infections. Pediatrics in review/American Academy of
                                                                                                                                                                 Pediatrics, 36, 167–71.
                                                                                                                                                       146
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Assessment of Particle Size Fraction Distribution of Surface Sediment of Tonle Sap Lake,
                        Cambodia: A Case Study in Chhnok Tru.
             1
               Graduate School of Water and Environmental Engineering, Institute of Technology of Cambodia,
                           Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
      2
        Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. B
                                              ox 86, 12156 Phnom Penh, Cambodia
     3
       Faculty of Hydrology and Water Resource Engineering, Institute of Technology of Cambodia, Russian Federation Blv
                                        d., P.O. Box 86, 12156 Phnom Penh, Cambodia
        4
         Water and Environmental Research Unit, Research and Innovation Center, Institute of Technology of Cambodia,
               Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
                                                   *heu.rina@itc.edu.kh
Abstract
    Tonle Sap Lake (TSL), located in the center of Camboida, is the largest productive freshwater lake in Southeast Asia
regions. TSL gives a huge benefit to Cambodians, especially for riparian settlements along the lake. However, changes in
hydrology and water depth in the lake appear to be the main factors affecting the variability in the particle size distribution in
sediment and its properties. Thus, this study aims to evaluate the D50 of particle size distribution and understand the
compostioins of surface sediment as an ecological function of the lake. The extensive sampling survey was conducted to
collect samples of surface sediment from 18 sampling sites around Chhnok Tru. The particle size distribution (PSD) was
analyzed by using Laser Diffraction Particle Size Analyzer. A synthetic analysis showed that particle size fraction of surface
sediment was a sensitive and effective mechanism to understand climatic and environmental changes of the lake around
Chhnok Tru. Netherless, changes in PSD between different varve types were relatively small indicated that they have a similar
source for the material deposition. The result also showed that the median fraction (D50) of surface sediment was ranged from
164μm to 694μm consisted of 83.32% sand, 1.22% silt, and 15.46% clay. Therefore, the smaller sediment fractions and
variation may attribute to the location of the flow affected by the current in the turbulence area. Besides, smaller fractions
appear to carry out most of the photosynthesis around Chhnok Tru, while larger fractions are responsible for seasonal trends
in sedimentation. Overall, PSD showed from poor to very poor sorting, and generally sorting deteriorated with increasing
mean grain-size. The output information about particle size distribution is essential for the characterization of mineral
components of biogenic lake sediments leading to understanding the changes in physical and biological trends in the lake
around Chhnok Tru.
Keywords: Assessment, Chhnok Tru, Particle size distribution, Surface sediment, and Tonle Sap Lake
                                                           147
I. Introduction                                                   II. Materials and Methods
     Tole Sap Lake (TSL) is the largest productive lake in        2.1. Sampling sites
South-East Asia in which it covers land areas of                      The sampling points of the study were taken randomly
approximately 3,000 km2 in the dry season to more than            based on geological features around Chhnok Tru of Tonle
15,000 km2 in the rainy season [1]. For the water depth of        Sap Lake; Kampong Chhnang province, by applying the
TSL, it is varied from 0.8 to 1 meters of water level in the      mapping waypoints of coordinated system. In addition, there
dry season, while in the wet season, the water level is varied    were 18 samples were collected on 5th March 2020 during
from 10 to 12 meters [2]. TSL has provided a huge benefit to      dry season as shown in Fig. 2.1.
Cambodian people especially for the riparian settlements
along the lake. Unfortunately, scientific information about
its productivities as natural resources is not well understood.
In an aquatic environment, different compounds are
incorporated within or absorbed on mineral matter
depending on the physical, chemical, and biological
processes that may change substantially the sediment texture
[3]
   .
     Sediments in lakes play an important role in elemental
cycling in the aquatic environment, and they are responsible
for transporting a significant proportion of many nutrients
and contaminants [4]. The sediments also mediate their
uptake, storage, release, and transfer between environmental
compartments. Most sediment on the surface of the bottom
of the lake derives from surface erosion and comprises a
mineral component, arising from the erosion of bedrock, and
an organic component arising during soil-forming processes
included biological and microbiological production and                     Fig.2.1: Mapping of sampling sites in TSL
decomposition, and the additional organic component may
be added by biological activity within the water body [5].            The grab sampler was used to sample the surface
Besides, the grain-size analysis is useful for more than the      sediment of the lake, and the sediment samples were
characterization of the mineral component of biogenic lake        transferred into plastic zip-locks then kept in an ice-box to
sediments, and particle size distribution is important for        maintain the quality of samples and transported to the
understanding the physical and chemical properties of a           laboratory for analysis. Critically, we assumed that the
material [6]. The median of 50% particle size fraction in         constant temperature in an ice-box is 4oC which prevents
sediment is the practical understanding of the distribution of    bacterial activity that could modify their properties [8].
particle; based on size fraction. On top of that, the
importance of the D50 is to understand the dynamics and           2.2. Laser Diffraction Particle Size Analyzer
other geomorphological behaviors of the lake. Particle size             Laser diffraction particle size analyzer (SALD-2300,
and mineralogy are directly related because individual            SHMADZU, Japan) was used to measure the size fraction of
minerals tended to form within characteristic size ranges.        particles of 18 samples. The particle size was calculated by
Sediments may thus be described in terms of discrete              measuring the angle of light scattered by the particles as they
compositional fractions, the overall characteristics of which     pass through a laser beam through the dispersion of particles
are due to the variation in the proportions of these fractions,   [9]
                                                                      . The light that is scattered at various angles by different
and the consequent changes in particle size [7]. However,         particle sizes was measured by a multi-element detector, and
there is much not known or understood about the productive        the magnitude of scattered light intensities was recorded [10].
ecological systems of the aquatic ecosystem of TSL, and           Moreover, sediment samples were analyzed for particle size
how they interact between surface sediment and the                fractions using the light intensity of cumulative percentages
productive systems.
                                                           148
of the ranging size of particles in micrometer. The D50 of         by clay of 12.08, while silt was the lowest of 1.88 as shown
particle size fraction were studied to understand 50%              in Fig.3.1. Therefore, the higher value of SD the higher error
distribution of particle fractions of samples.                     of sand, clay and clay, accordingly.
                                                                      Mean(%)
                                                                                60
of 18 points, based on percentages.                                             50
                                                                                40
                                                                                                                       SD =12.08
Table 2.1: Sediment types based on particle size diameter                       30
                                                                                20
 Sediment types             Diameter                  Unit                      10                       SD =1.88
                                                                                 0
 Sand                    smaller than 2000            μm
                                                                                          Sand             Silt          Clay
 Silt                     smaller than 63             μm
 Clay                     smaller than 20             μm                               Fig.3.1: Mean of each particle fraction
    Overall, the median of 50% particle size fraction was              The analytical measurement of PSD by particle size
studied to understand the distribution of surface sediment         analyzer showed the quantitative value of particle size in
around Chhnok Tru, and its critical associations to physical       range with its cumulative percentage which is based on light
and biological changes of the lake.                                intensity as shown in Fig. 3.2. In addition to the PSD curve,
    The PSD of sediment samples was found in arithmetic            the result showed about D10, D50 and D90 of sediment
means of cumulative percentage of each sampling site.              distribution. Thus, the 50% of median fraction (D50) of
Furthermore, they was plotted by means of its cumulative           surface sediment was ranged from 164μm to 694μm with its
percentages with the particle diameter in micrometer. For          mean of 300μm from each sampling site. This was meant
graphical analysis, Origin Pro-2021 program was used.              that the 50% of particle size was sand fraction in which it
                                                                   showed the biggest diameters among other fractions.
III. Results and Discussion
   The sediment types and their mean percentages from 18
sampling points as a summary of surface sediment samples
around Chhnok Tru were shown in Table 3.1.
                                                             149
the turbulence area. Besides, smaller fractions appear to                  Estonian Journal of Ecology, 57(4), 231.
carry out most of the photosynthesis in the lake, while larger             https://doi.org/10.3176/eco.2008.4.01
fractions are responsible for seasonal trends in                    [4]    Uk, S., Yoshimura, C., Siev, S., Sophal, T., Yang, H.,
sedimentation. Also, there was a study that showed a similar               Oeurng, C., Li, S., & Hul, S. (2018). Tonle Sap Lake:
result that sediments from lake expressed that biological and              Current status and important research directions for
chemical content accumulated on the particles from 100 to                  environmental management. Lakes & Reservoirs:
1000 µm in which there was a tendency associated with                      Research            &          Management,          23.
increasing basic content as far as decreasing particle size [12].          https://doi.org/10.1111/lre.12222
                                                                    [5]    Bartram. (1996). (PDF) Water quality monitoring: A
IV. Conclusion                                                             practical guide to the design and implementation of
                                                                           freshwater quality studies and monitoring programmes.
    Tonle Sap Lake (TSL) is the most productive lake in
                                                                           ResearchGate.
South-East Asia. Thus, understanding the pattern of the
                                                                           https://www.researchgate.net/publication/253953121_
ecosystem of the lake around Chhnok Tur is the crucial
                                                                           Water_quality_monitoring_a_practical_guide_to_the_
benefit to estimate the interaction between sediment and its
                                                                           design_and_implementation_of_freshwater_quality_st
potential influents on the physical and biological condition
                                                                           udies_and_monitoring_programmes
of the lake. According to the result of the study, the surface
                                                                    [6]    Żarczyński, M., Szmańda, J., & Tylmann, W. (2019).
sediment around Chhnok Tru was a sand fraction with the
                                                                           Grain-Size Distribution and Structural Characteristics
highest composition of 83.23%. In addition, the mean of D50
                                                                           of Varved Sediments from Lake Żabińskie
of PSD was also a sand fraction which came up with the
                                                                           (Northeastern Poland). Quaternary, 2(1), 8.
mean of D50 of 300μm. Therefore, it could be concluded that
                                                                           https://doi.org/10.3390/quat2010008
the smaller sediment fractions, and the variation may
                                                                    [7]    Chapman, D. V., Organization, W. H., Unesco, &
attribute to the location of the flow affected by the current in
                                                                           Programme, U. N. E. (1996). Water quality assessments:
the turbulence area. Moreover, PSD of surface sediment
                                                                           A guide to the use of biota, sediments and water in
around Chhnok Tru might strongly interact with
                                                                           environmental monitoring. London : E & FN Spon.
productivities in the lake as macronutrients for the growth
                                                                           https://apps.who.int/iris/handle/10665/41850
for higher productivities.
                                                                    [8]    Eadie, B J, and S J Lozano. (1999). Grain Size
                                                                           Distribution of the Surface Sediments Collected during
Acknowledgment                                                             the Lake Michigan Mass Balance and Environmental
    We are thankful to the Science and Technology Research                 Mapping and Assessment Programs. 42.
Partnership for Sustainable Development (SATREPS, Grant             [9]    Hackley, V. A., Gintautas, L., & Lum, L.-S. (2004).
No: JPMJSA1503), the Japan Science and Technology                          (PDF) Particle Size Analysis by Laser Diffraction
Agency (JST)/Japan International Cooperation Agency                        Spectrometry: Application to Cementitious Powders.
(JICA), and French Developmet Agency (AFD), Grant                          ResearchGate.
No:CKH 1236 02P) for their financial support.                              https://www.researchgate.net/publication/238669156_
                                                                           Particle_Size_Analysis_by_Laser_Diffraction_Spectro
References                                                                 metry_Application_to_Cementitious_Powders
                                                                    [10]   Lawrence, J. (2017). Particle Size and Distribution
[1]    Kite, G. (2001). Modelling the Mekong:                              Analysis. Chemical Engineering.
       Hydrological simulation for environmental impact             [11]   Blair, T. C., & McPherson, J. (1999). Grain-size and
       studies. Journal of Hydrology, 253(1), 1–13.                        textural classification of coarse sedimentary particles.
       https://doi.org/10.1016/S0022-1694(01)00396-1                       Journal of Sedimentary Research, 69, 6–19.
[2]    Somony, T., & Schmidt, U. (2004). Aquatic                           https://doi.org/10.2110/jsr.69.6
       Resources Management: The Tonle Sap Great Lake,              [12]   Maslennikova, S., Larina, N., & Larin, S. (2012). The
       Cambodia. 19.                                                       effect of sediment grain size on heavy metal content.
[3]    Vaasma, T. (2008). Grain-size analysis of lacustrine                Lakes Reservoirs and Ponds, 6, 43–54.
       sediments: A comparison of pre-treatment methods.
                                                             150
   The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                      Jointly held with
           th
     The 5 International Symposium on Conservation and Management of Tropical Lakes
                      “Insights and Challenges toward Achieving SDGs”
Mardi Meas 1, Rina Heu 2,4,*, Laty Ma 1, KhyEam Eang2, and Sokly Siev3,4
             1
              Graduate School of Water and Environmental Engineering, Institute of Technology of Cambodia,
                           Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
       2
         Faculty of Hydrology and Water Resource Engineering, Institute of Technology of Cambodia, Russian Federation
                                       Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
       3
         Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., P.O.
                                             Box 86, 12156 Phnom Penh, Cambodia
        4
          Water and Environmental Research Unit, Research and Innovation Centre, Institute of Technology of Cambodia,
                              Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                                  *heu.rina@itc.edu.kh
Abstract
    Tonle Sap Lake (TSL), the largest freshwater lake in Southeast Asia, plays an important role in the economy of
Cambodia. It supports the population around it through fishery productivity, water supply and variety of biodiversity.
Currently, regional residents around TSL purchase clean water for their daily consuming from private water supply facility
that use raw water from TSL. However, there are growing concerns related to degradation of the quality of lake water. Even
though, TSL is invaluable by its ecosystems, lake water was polluted by organic pollutants that have been discharged by
various disposal through agriculture, aquaculture and human activities into the lake, and threaten local people’s drinking
water supply. Hence, this research aims to review on researches of occurrence, source, regulation and treatment methods of
organic pollutants in TSL water. Some organic pollutants including aliphatic hydrocarbons, ether, ketone, phenol,
phthalate, fatty acid ester, other oxygenated compounds, benzene and polycyclic hydrocarbons, nitrogenous, sulfur-
containing, phosphorus-containing, pharmaceuticals and personal care product and pesticide were found in lake’s surface
water because of agriculture, aquaculture and human activities . Among them, plasticizers and pesticides are over allowable
standard for drinking water and also the most toxic compounds. The biological method, adsorption, advanced oxidation
process, membrane filtration, and membrane bioreactor are effective whereas coagulation and flocculation are ineffective to
remove organic pollutant. The result of this study will provide the people around TSL the awareness about present of
pollutants in lake water and its quality. Furthermore, it will be used as a recommendation and reference for TSL residents
about using treatment method for pollutant removal.
Keywords: Organic pollutants, occurrence, transportation, regulation, treatment methods, Tonle Sap lake
    I. Introduction                                            enlarges during the flood phases to about 250 km long and
   Tonle Sap Lake (TSL) is the largest freshwater water        100 km wide with an area of about 17,500 km2, and the
body in Cambodia (Figure 1), and its watershed extending       depth reaches 8-10 m [29]. The climate in TSL region is
over 43% (approximately 85,786 km2) of the national land       control by two monsoon periods characterized by two
[17]. Lake’s surface area varies between the wet and the       distinct seasons, namely the rainy season (May-October)
dry season [5]. During the dry season, the lake is about 120   and dry season (December-April) [17]; and the water
km long and 35 km wide with an area of about 2500              temperature of lake varies between 28 and 33˚C [22].
km2,and maximum depth of about 3.3 m. Lake surface                 TSL provides various ecosystem services consider as a
                                                               basic environmental key for nurturing the local culture
                                                         151
associated with it. It is estimated that more than one million   investigated [19, 25]. The studies found chemical
people living on and around TSL. Their living is mainly          contaminants in TLS such as aliphatic hydrocarbons, ether,
depended on water resources for domestic use, irrigation         ketone, phenol, phthalate, fatty acid ester, other oxygenated
and industry, adjustment of the local climate, fish              compounds, benzene and polycyclic hydrocarbons,
production, aquaculture, transportation and tourism [17].        nitrogenous, sulfur-containing, phosphorus-containing,
Lake water supports regional population through water            pharmaceuticals and personal care product (PPCPs) and
supply [26]. Even though, TSL is significant by its value        pesticide such as insecticides, herbicide (atrazine-i.e.) and
but the lake and its ecosystems are under threat due to          disinfectant (Table 1).
anthropogenic activities occurring inside and outside its        Table 1: Concentration of compounds of organic
basin. Currently, the lake water was polluted by chemical        pollutants in surface water of TSL during rainy season
disposal through agricultural production, aquaculture and        and dry season [19, 25]
human activities. Water pollution in TSL threatens the
drinking water supply of local people, and lead to the           2.2. Transportation of Pollutants
explosive development of harmful invasive plant species,            The TSL ecosystem has experienced major changes
such as water hyacinth, and impact biodiversity in and           over the past few decades as a result of anthropogenic
around the lakes, as well as food quality and finally human
health [41]. Therefore, this study aims to review occurrence       Category                Rainy Season         Dry Season
of organic pollutants in lake water, understanding its                                    Min       Max        Min     Max
sources and transportation, regulation and technologies to                               (μg/L)    (μg/L)     (μg/L) (μg/L)
treat pollutants. The result from this review will be used to      Aliphatic
                                                                                         0.0003     6.203        -        -
                                                                   hydrocarbons
aware local people living around TSL about the lake water
                                                                   Benzene               0.0029     0.8703       -        -
quality and give recommendation to its resident about
                                                                   Polycyclic
pollutants treatment method in order to obtain clean water                               0.0021     0.3036       -        -
                                                                   hydrocarbons
that ensure safe consuming.                                        Ether                  0.181     1.854        -        -
                                                                   Ketone                0.0265     3.830        -        -
                                                                   Phenol                 0.001     3.800        -        -
                                                                   Plasticizer
                                                                                         0.020      74.340       -        -
                                                                   (Phthalates)
                                                                   Fatty acid ester      0.0037     0.7308       -        -
                                                                   Other compounds         0.01     27.100       -        -
                                                                   Nitrogenous           0.0015      5.570       -        -
                                                                   Sulfur                0.0287      1.730       -        -
                                                                   Phosphorus            0.0161      8.423       -        -
                                                                   PPCPs                 0.0065     0.4766       -        -
                                                                   Pesticide              0.001     1.0600    0.0510   2.3168
                                                                 activities both inside and outside of its basin (e.g., water
                                                                 infrastructure development; land use change, agriculture,
                                                                 aquaculture) [17]. Also, TSL is surrounded by the most
                                                                 densely populated region of Cambodia [39] with
Figure 1: Tonle Sap Lake and its floodplains [9]                 approximately 5 million people living around the lake [43,
2. Occurrence and Transportation of Pollutants                   17]. The average annual population growth was 1.4%
                                                                 between 1998 and 2008 [40, 17]. There is extraordinary
2.1. Occurrence of Pollutants
                                                                 growth in the city of Siem Reap, the city from which
    Degradation of water quality in TSL has been growing
                                                                 tourists visit Angkor. The annual increases in hotel rooms is
concerns [6], which water quality is indicated as a key
                                                                 112% between 2003 and 2004 [5]. The city at present has
factor to determine the environmental health and quality of
the ecosystem [6]. To Understand the importance of water         no waste treatment facilities, so hotels build their own
quality role of lake, many researchers conducted study on        package treatment plants or septic systems, so there is
contaminants occurred in the lake water. Thus, the               increasing concern about contamination of the Siem Reap
chemical contamination, which obtained from intensive            River which drains to the lake [5]. Deforestation and land
agricultural production, aquaculture and human activities        use changes in the TSL basin and its inundation area are
within catchment area in Tonle Sap Lake of Cambodia was          substantial. The area affected by deforestation in the TSL
                                                          152
basin is equal to 15% of the basin total land area, indicating   Table 2: Human-Toxicological maximum permissible risk
a higher sediment load into TSL and its floodplain is            level evaluation [1,3,16,30,31,33,34,35,36,37,38,45,48,49]
anticipated because of erosion in its catchments. Then, the
                                                                          Category        Toxicity                      Effect
sediment could carry the organic pollutant and nutrients
from upland into the lake.                                             Aliphatic          100              Liver, kidney and hematologic
                                                                       hydrocarbons       (μg/kgbw/day)    effects
    The pollution from agricultural chemicals is also
potentially substantial in the TSL basins [17]. A study in six                            4.3              Decreased lymphocyte and
                                                                       Benzene
                                                                                          (μg/kg bw/day)   Group A (human carcinogen)
provinces surrounding TSL indicated a high level of trade
of prohibited pesticides still exists, despite the 1998 Sub-           Polycyclic         6.3
                                                                                                           Carcinogenicity
                                                                       hydrocarbons       (μg/kg bw/day)
Decree on Standards and Management of Agricultural
Materials [50]. In TSL basins, there are about 67% of                  Ether              23.6 (μg/day)    Increase in liver weight
farmers in the TSL region used pesticides for agricultural             Ketone             100              Skin irritation and transient,
activities [32, 17] and the households around TSL also                                    (μg/kg bw/day)   hypnotic or sedative effects,
                                                                                          40
applied pesticides, herbicides and fungicides which was                Phenol                              Diarrhea, salivation, urine, and
                                                                                          (μg/kg bw/day)   blood and liver effects
dominant in the plains zone [44]. After raining, the runoff
                                                                       Plasticizer        4                Cancer, or reproductive harm,
from those agriculture and household was connected to the
                                                                       (Phthalates)       (μg/kg bw/day)   disrupt the endocrine
rivers and could potentially contaminate Tonle Sap Lake
                                                                       Nitrogenous        10               Carcinogenicity, neural tube
[19]. It has been found that large communities within                                     (μg/kg/day)      defects, and diabetes
floating villages relied mainly on fishing, rice cultivation                                               Gastrointestinal, kidneys, liver,
and trading while their economic opportunity depended on               Phosphorus         0.02
                                                                                                           cardiovascular system, and
                                                                       (White)            (μg/kg bw/day)
zones they are living, e.g., land-base, water-base or semi-                                                nervous system effect
land-water base [13, 19]. The existence of communities                                                     Rat study: tendency of
                                                                       PPCPs              40               transiently suppressed body
living at floating village on the lake further induced                                    (mg/kg/bw/da)    weight and transiently
eutrophication, small-scale-aquaculture, boat transportation                                               decreased motor activity
within the area and solid waste/wastewater contamination                                  0.1-50
                                                                                                           Carcinogenic, oncogenic,
not only from household, but also small factories, e.g., ice-          Pesticide                           genotoxic and teratogenic
                                                                                          (μg/kg bw/day)
                                                                                                           effect
making factory or fish processing [19].
3. Toxicity and Standard Regulation of Organic
                                                                 Table 3: Standard regulation of drinking water
Pollutants in Drinking Water
                                                                                                            MIME                 Others
    Most chemicals arising in drinking water are health                             Pollutants
                                                                                                            (μg/L)               (μg/L)
concern due to their extended exposure of years, rather                Polychlorinated biphenyls              0.5                   -
than months [28]. The organic pollutants cause toxic,                  Trihalomethanes                       250                    -
teratogenic, mutagenic and carcinogenic effects in aquatic             Aliphatic hydrocarbons                  -                    -
environment as summarized in Table 2. To ensure a safe                 Benzene                                10                   10a
                                                                       Polycyclic hydrocarbons                 -                  0.1b
drinking water for public health, the Royal Government of
                                                                       Ether (Methyl terrt-butyl ether)        -                   13c
Cambodia has established a comprehensive policy on                     Ketone ( 2-butanone (methyl ethyl
                                                                                                                -                     16d
National Water Supply and Sanitation and set the Drinking                  ketone))
Water Quality Standard (DWS) for Cambodia (Table 3)                    Phenol                                   -                  50b
Drinking Water Quality Standards were prepared based on                Plasticizer (Phthalates)                 -                3 -6b-8b
                                                                                                                                  b
                                                                 a
                                                                   :   World Health organization(WHO)
                                                                 b
                                                                   :   Environmental Protection Agency(EPA)
                                                                 c
                                                                   :   State Water Resource Control Board(SWRCB)
                                                                 d
                                                                   :   Indiana Department of Environmental Management(IDEM)
                                                                 e
                                                                   :   European Council Directive(ECD)
                                                          153
4. Treatment Methods of Organic Pollutants                                5. Conclusion and Future Work Need
    Currently, there are some methods to removal those                         Organic micro-pollutants were found in Tonle Sap Lake
organic pollutants from water such as coagulation and                     such as aliphatic hydrocarbons, ether, ketone, phenol,
flocculation, biological methods, Chlorination, Activated                 phthalate (plasticizer), fatty acid ester, other oxygenated
carbon adsorption, ozonation and advanced oxidation                       compounds; benzene and polycyclic hydrocarbons;
process (AOPs), membrane process and membrane                             nitrogenous, sulphur-containing, phosphorous-containing,
bioreactor (MBR) (Table 4). Coagulation and flocculation,                 pharmaceuticals and personal care product (PPCPs) and
biological methods, chlorination are ineffective process for              pesticide. Their sources are derived from various disposal
organic micropollutant (OMP) removal. Advanced                            through agriculture, aquaculture and human activities. Base
treatment processes including adsorption, advanced                        on study of chemical contaminants, plasticizer (bis (2-
oxidation process, membrane process and membrane                          ethylhexyl) phthalate) and pesticide (DDT, Mefenoxam,
bioreactors can achieve higher and more consistent OMP                    Triadimefon and Chloroneb) are over allowable of drinking
removal [12].                                                             water quality standard of EPA. Benzene, polycyclic
    Based on our interview with the Chhnok Tru Water                      hydrocarbons, plasticizer (phthalates), Nitrogenous and
Suppl (CTWS) in November 2020, CTWS is utilizing the                      pesticide, are significant toxic as their toxicities screen
conventional water treatment method through addition of                   values are small but could cause human carcinogenicity.
Polyaluminum Chloride or Alumn in coagulation,                                 The biological method, adsorption, AOPs, membrane
flocculation, sedimentation, sand filtration and disinfection             filtration, and MBR are effective to remove OMP whereas
by chlorination. Base on this review on OMP removal                       coagulation and flocculation are ineffective for OMP
methods, this conventional water treatment method                         removal. Thus, water treatment methods are currently used
(coagulation-flocculation and chlorination) are ineffective               at TSL region such as CTWS, is ineffective for OMPs
to remove OMPs.                                                           removal. This study will be used as recommendation and
                                                                          reference for TSL resident to assess the water quality and
Table 4: Treatment methods for OMP removal                                removal method of OMPs. However, further investigation
[12,15,18,20,46]                                                          is necessary to monitor the chemical pollutants during dry
Treatment                                                                 season.
                 Advantages                 Disadvantages
methods
                                 Ineffective MP/OMP removal,
Coagulation    Process                                                    Acknowledgement
                                 Large      amount     of      sludge,
–              simplicity, Low                                               The authors would like to acknowledge financial
                                 Introduction of coagulant salts in the
flocculation   cost
                                 aqueous phase                            support from French Agency for Development –European
               Low cost,                                                  Union (AFD-EU scholarship) with research grant number
Biological
               Significant       Slow process, low biodegradation
methods                                                                   CKH 1236 02P.
               removal
                                 Ineffective removal at lower
               Significant       chemical dose, High dose of              References
Chlorination
               removal           chemical Requirement, toxic by-          [1] Ahmed, M., Rauf, M., Mukhtar, Z., & Saeed, N. A.
                                 product                                          (2017). Excessive use of nitrogenous fertilizers:
                                 Relatively high financial costs,                 An unawareness causing serious threats to
                                 Lower efficiency in the presence
               Effective                                                          environment and human health. Environmental
Adsorption                       of natural organic matters (NOMs),
               removal
                                 Need for regeneration, Disposal of
                                                                                  Science and Pollution Research, 24(35), 26983–
                                 used adsorbent                                   26987. https://doi.org/10.1007/s11356-017-0589-7
               Effective         High energy consumption,                 [2] Bonheur, N., & Lane, B. D. (2002). Natural resources
Advanced
               removal, High     Formation of by products,                        management for human security in Cambodia’s
Oxidation                                                                         Tonle Sap Biosphere Reserve. Environmental
               degradation       Interference of radical scavengers
               Removal                                                            Science       &       Policy,     5(1),     33–41.
Membrane
               efficiency        High energy demand, Membrane                     https://doi.org/10.1016/ S1462-9011(02)00024-2
processes
               process           fouling, Disposal of concentrate         [3] Burdock, G. A., & Ford, R. A. (1992). Safety evaluation
               Effective
                                 Moderately         high       energy             of dibenzyl ether. Food and Chemical Toxicology,
                                 consumption, Inconsistent removal                30(7), 559–566. https://doi.org/10.1016/0278-
Membrane       removal, Less
                                 of polar and resistant compounds,                6915(92)90189-R
Bioreactor     sludge, Small
                                 Membrane fouling, Less sorption of
               scale
                                 on the aged MBR sludge
                                                                    154
   The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                      Jointly held with
           th
     The 5 International Symposium on Conservation and Management of Tropical Lakes
                      “Insights and Challenges toward Achieving SDGs”
  Bioaccumulation of heavy metals and trace elements in six fish species from Tonle Sap
                                   Lake, Cambodia
   Sokneang IN 1, 2*, Sovannmony NGET 1, 2, Soukim HENG 1,2, Dung Viet PHAM3, MasateruNISHIYAMA3,
                                  Hasika MITH 1, 2 and Toru WATANABE 3
                  1
                  Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                      Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
2
  Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of Cambodia
                       , Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                3
                                  Faculty of Agriculture, Yamagata University, Japan
                                                   * in@itc.edu.kh
Abstract
This study aimed to observe the accumulation of heavy metals and trace elements in six fish species sampled from four
locations in Tonle Sap Lake. The amount of three kilograms of each fish sample was randomly collected from fishermen at
ChhnokTrou commune (Kampong Chhnang Province), Phat Sanday commune (Kampong Thom Province), Kbal Tor
commune (Battambang Province) and Kampong Plouk commune (Siemreap Province) between 2017 and 2018. The level of
Zn, Pb, Cr, Cu, Cd and As in the fish samples were below the Maximum Permissible Limit (MPL) set by FAO/WHO. The
contents of Mn and Ni in the six studied fish species ranged from 0.8 to 10.1 mg/kg in wet weight and 0.18 to 0.79 mg/kg,
respectively. The mean concentration of Mn and Ni were higher than the respective MPL. The highest concentration of Mn
was found in Anabas testudineus (10.1 mg/kg), and the highest concentration of Ni was found in A. testudineus (0.79
mg/kg). Among studied fish species, A. testudineus accumulated all of heavy metals and other trace elements most
effectively. A. testudineus is the predatory fish (carnivorous fish) and this may be resulted from the bioaccumulation.
                                                        155
Tonle Sap Lake and poor wastewater management these is           was digested 20 ml with hydrochloric acid concentrate
raising the concern of heavy metal presence in Tonle Sap         (1mol/L) and heated at 150oC, and then with 20 ml of nitric
lake ecosystem. Moreover, there are more than 900 000            acid concentrate (1mol/L) and heated at 170 oC,. After
people live on floating village.Most of the people, who live     finished digestion, the final volume was adjusted to 100ml
on the floating village, are lacking waste management, so        with ultra-pure water for analysis (Ministry Environment of
they throw their daily wastes including plastic and also         Japan, 2001) with inductively Coupled Plasma-Mass (ICP-
human waste directly into the lake, in order to make the         MS) (Model Elan DRCII of PerkinElmer Japan Co., Ltd.,
water and soil pollution [9]. These activities also raise even   Japan).
more concern about the heavy metal contamination in the
fish and aquatic live in the lake. Consequently, fish in
Tonle Sap Lakemight have high chance of accumulation of          As analysis was adopted from Ministry Environment of
heavy metals by the absorption of contaminated water.            Japan, 2001[10], 1g of sample was added with 10ml o
Therefore, the heavy metals effect on human health after         HNO3 and heated at 100oC-150oC) covered by cap, and
consumption of the fishes, which contain the heavy metals.       then 5ml of concentrated H2SO4 (98%) and 5ml of
The main objective of this study is to quantify several          concentrated HNO3 (65%) were added to solution with and
heavy metals such as As, Fe, Cu, Hg, Pb, Zn, Cr, Mn, Co,         heated at 200oC. The solution was filtered through filter
Ni, and Cd in the muscle of six fish species, were collected     paper ADVANTEC 5B (4µm) into 100ml flask. The
from Chhnuk Tru village (Kampong Chhnang), Phat                  concentration of arsenic and mercury in the solution was
Sandai (Kompong Thom), Kampongs Phlork (Siem Reap)               analyzed by using atomic absorption spectroscopy (AAS )
and KbalTorl (Battambang).                                       machine Model AA7000 with hydride vapor generator
                                                                 HVG-1 (Shimadzu, Kyoto, Japan).
II. Materials and Methods
                                                          156
                                                                              Chhnang, Kampong Thom and Siemreap was presented in
                                                                              Table 3 and 4. The results showed that the accumulation of
Table 2. Heavy metal(loid) content (in wet weight) of                         trace elements and heavy metal was varied among the
fish species from Tonle Sap Lake (unit mg/kg)                                 studied location. However, the distribution of concentration
                                                                              of different trace elements and heavy metal, especially Mn
      Scientific name                Cd         As        Mn         Ni       and Ni were highly accumulated in fish from
                                        *                                     KampongThom Province and Battambang province.
 Boesemaniamicrolepis              ND         0.006      4.07      0.36
 Channamicropeltes                 ND         0.005      1.19      0.41       Table 3. Trace elements(loid) content in fish muscle in
 Hampaladispar                     0.004      0.003      0.85      0.18       difference location
 Anabas testudineus                0.006      0.017      10.11     0.79
                                                                                      Location           Zn       Pb       Cr       Cu
 Channa striata                    0.006      0.002      1.10      0.22
                                                                                Battambang             10.91     0.02    0.07     0.19
 Notopterusnotopterus              ND         0.009      0.80      0.21
 MPL**                              0.5a        1b        0.5b     0.05c        Kampong Chnag          7.68      0.10    0.07     0.24
*ND: Not Detected; **MPL: Maximum Permissible Limit                             Kampong Thom           20.89     0.06    0.17     0.43
a Thailand. Ministry of Public Health. Notification of Ministry of Public       Siemreap               8.54      0.07    0.06     0.19
Health, No. 98, B.E. 2529, Re: Prescribing Standards of Contaminated
Substances. R. Thai Gov. Gazette 1986, 103, 98. (In Thai)
b Food and Agricultural organization (FAO). Compilation of Legal Limits       Table 4. Heavy metal (loid) content in fish muscle in
for Hazardous Substances in Fish and Fishery Products; Fisheries                 difference location
circular No. 764; Food and Agricultural Organization: Rome, Italy,
1983.http://www.fao.org/3/q5114e/q5114e.pdf (accessed on 7 July 2020).
c U.S. Department of Health and Human Services. ATSDR Toxicology                      Location           Cd        As      Mn       Ni
Profile       for      Nickel.         2005.       Available        online:
http://www.atsdr.cdc.gov/toxprofiles/tp15.pdf (accessed on 7 July 2020).        Battambang             ND*       0.005    1.87    0.33
                                                                                Kampong Chnag          0.006     0.013    1.32    0.29
The mean trace element and heavy metal concentrations in
muscle of all six fish species was presented in Table 1 and                     Kampong Thom           ND        0.010    7.17    0.52
2. The concentrations of different trace elements and heavy                     Siemreap               0.004     0.010    1.80    0.30
metal varied within species and location. The level of Zn,                    *ND: Not Detected
Pb, Cr, Cu, Cd and As were below the Maximum
Permissible Limit (MPL). However, the contents of Mn                          Pb level was higher in Trey Ptouk origin from Siemreap
and Ni ranged from 0.8 to 10.11 mg/Kg in wet weight and                       and Kampong Chnag province. Cr was detected
0.18 to 0.79 mg/Kg wet weight, respectively. The mean                         higherconcentration in Trey Bromaand Trey Kranh from
concentrations of Mn and Ni were higher than the                              KampongThom province. Cu was more accumulating in
Maximum Permissible Limit. The highest concentration of                       Trey Kranh and Trey Khman from Kampong Thom
Mn and was found in Anabas testudineus (10.11 mg/Kg                           province. Cad was mostly ND in the studied fish samples.
wet weight) follow by Boesemaniamicrolepis (4.07 mg/Kg                        The level of As was found higher concentration in Trey
wet weight), and the highest concentration of Ni was found                    Kranh from Kampong Chnang, Kampong Thom and
in Anabas testudineus (0.79 mg/Kg wet weight)follow by                        Siemreap, and in Trey Slat from Battambang. Mn was
Channamicropeltes (0.41 mg/Kg wet weight) and                                 highly accumulated in Trey Kranh from Kampong Thom.
Boesemaniamicrolepis (0.36 mg/Kg wet weight).                                 According to many studies in literatures, trace elements
                                                                              and heavy metal bioaccumulation by fish can influence by
The distribution of concentration of different trace                          and     living   environment     (geographical      location,
elements and heavy metal, especially Mn and Ni were                           contamination sources in water), fish type (predator or non
highly accumulated in fish from Kampong Thom Province,                        predator), sex, age, size, reproductive cycle, swimming
follow by Battambang province.         Trace element and                      patterns, feeding behavior (demersal fish, neritic or pelagic
heavy metals bioaccumulations were affected by the                            fish) [13,14,15,16].
aquatic ecosystem environmental conditions such as
industrial, municipal and agricultural wastes in the water
                                                                              IV. Conclusion
[11,12].
                                                                              Trace elements content varies depending on the zone,
                                                                              environmental conditions, the contamination level of the
The accumulation of individual trace elements in fish (all
                                                                              fishing area, and the characteristics of the fish (size,
species combined) collected Battambang, Kampong
                                                                       157
endurance, and diet) constitute relevant factors, being some          Kumaresan S, Balasubramanian T., 2012. Metals in
fish more prone to accumulating higher concentrations of              fish along the southeast coast of India. Bull Environ
these metals in the muscle.                                           Contam Toxicol; 88(4):582–8.
                                                                [12] Nicole Colin, Alberto Maceda-Veiga, Núria Flor-
Acknowledgement                                                  Arnau, Josep Mora, Pau Foruno, Cristiana Vieira, Narci
                                                                 s Prat, Jaume Cambra and Adolfode Sostoa., 2016. Eco
    We are thankful to the Science and Technology                logical impact and recovery of a Mediterranean river af
Research Partnership for Sustainable Development                 ter receiving the effluent from a textile dyeing industry.
(SATREPS), the Japan Science and Technology Agency
                                                                 Ecotoxicology and Environmental Safety, Volume
(JST)/Japan International Cooperation Agency (JICA) for
their financial support.                                         132, Pages 295-303.
                                                               [13]      Zhao S, Feng C, Quan W, Chen X, Niu J, Shen Z.,
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                                                         158
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Difference in Basic Water Quality Before and After Moving Floating Houses to Upland in
                    Chhnok Tru Village, Tonle Sap Lake, Cambodia
             1
               Graduate School of Water and Environmental Engineering, Institute of Technology of Cambodia,
                           Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
        2
          Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., P.O.
                                              Box 86, 12156 Phnom Penh, Cambodia
       3
         Faculty of Hydrology and Water Resource Engineering, Institute of Technology of Cambodia, Russian Federation
                                        Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
       4
         Water and Environmental Research Unit, Research and Innovation Center, Institute of Technology of Cambodia,
               Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
                                        *Corresponding author: heu.rina@itc.edu.kh
Abstract
    The ecosystem of Tonle Sap Lake (TSL) is widely nominated as a biosphere reserve by UNESCO in October 1997.
Approximately five million people live around TSL; the discharges of sewages and wastes from the households into the lake
also concern with the water quality of the lake. Government declared to move floating houses in Chhnok Tru to upland and
some of the floating houses in Chhnok Tru had been already moved according to Government’s plan. Thus, this paper aims
to investigate water quality parameters such as temperature, pH, dissolved oxygen (DO), oxidation-reduction potential (ORP),
conductivity, chlorophyll before and after moving floating houses Chhnok Tru. The water quality parameters of TSL were
measured in 19 sampling sites around Chhnok Tru by using EXO sensor. The result showed that, before moving floating
houses, the average temperature was 32.24 °C, pH was 6.96, conductivity was 166.9 µS/cm, salinity was 0.0673 psu (Practical
Salinity Unit), DO was 4.33 mg/l, ORP was 135.5 mV and total dissolved solid was 93.92 mg/l. After moving floating houses,
the average temperature was 30.9 °C, pH was 8.69, DO was 5.24 mg/l, conductivity was 203.67 µS/cm, chlorophyll was 4.39
and ORP was 81.5 mV. The average pH and DO after moving floating houses were higher than those before moving floating
houses because of the less discharging of wastes from floating houses, while the average ORP was lower than that before
moving floating houses because one sampling site that is close to the Chhnok Tru port had a negative ORP value showing
that only high contamination in this site. The output from this study is expected to provide the information about water quality
of TSL before and after moving floating houses for the support of water quality management to sustain the TSL ecosystem.
Keywords: Ecosystem, Floating houses, Tonle Sap Lake, Water quality
                                                          159
I. Introduction                                               2.2. Water quality measurement
                                                                  Water quality analysis in both 2018 and 2020 was
    Tonle Sap Lake (TSL) is the socio-economic
                                                              performed by using Multi- Exo Sondes (YSI Incorporated,
dependency of the Cambodian communities and an
                                                              USA). In situ measurement of water quality parameters such
important reservoir for Mekong system [1][2]. Approximately
                                                              as temperature, pH, dissolved oxygen (DO), oxidation-
1.7 million people in six provinces around the lake rely
                                                              reduction potential (ORP), conductivity (Cond), were
mainly on water for drinking and domestic uses. In this
                                                              measured. The Multi-EXO Sondes was set to 5 minutes and
regard, Chhnok Tru is one of the busiest communities, the
                                                              repeated at least 10 times for every measurement and it was
discharging of sewage from households causes water quality
                                                              washed with sampled water before running to prevent
degradation [3]. According to government plan, floating
                                                              contamination from one sample to another.
houses in Chhnok Tru village had been already removed. As
                                                              2.3 Inverse Distance Weighted (IDW) Method
a consequence, the comparison and correlation between
                                                                  A simple interpolation method, IDW method has been
basic water quality parameters before and after moving
                                                              applied in environmental modelling. In this study, IDW was
floating houses still need to understand for knowing the
                                                              used to interpolate water quality parameters distribution in
effect of moving houses in Chhnok Tru village. Thus, this
                                                              2018 and 2020 by ArcMap (10.5).
study aims to evaluate water quality after moving floating
houses in Chhnok Tru village by comparing them with the       2.4. Statistical analysis
water quality before moving the floating houses in Chhnok
                                                              2.4.1 Student’s t-test
Tru village. Besides, the Student's t-test, Pearson’s
                                                                  T-test for independent samples is used for comparison of
correlation test, and Principal component analysis (PCA)
                                                              mean values of results. Risk possibility level of 5% was
were used for statistical analysis. In addition, inverse
                                                              taken into account in defining the statistical significance of
distance weighted (IDW) interpolation was applied for the
                                                              obtained results, t value must be at least 1.96. In this study,
distribution of water quality in both 2018 and 2020.
                                                              a t-test was performed with MS excel 2019 to test the
II. Materials and Methods                                     significance between before moving floating houses and
                                                              after moving floating houses for the water quality
2.1. Sampling sites                                           parameters.
    This study was conducted in the Chhnok Tru village,       2.4.2 Correlation analysis
TSL. Water samples were collected in 19 sites of the Chhnok       Correlation is the way of assessing to find the strength of
Tru village on both 7th March 2018 and 5th March 2020. The    the association. The Pearson product-moment correlation
floating houses distribution in 2018 was approximately 1881   coefficient is the most widely used in testing correlation
houses from one study of Chhnok Tru village [4]. Based on     between two variables. The correlation coefficient is
government plan, the floating houses were supposed to         expressed by r that is ranged from -1 to +1. In this study,
move to upland about 90% by 2020. The sample location         Pearson’s correlation test was performed by R program
map is shown in Fig. 1.                                       (3.6.1).
                                                              2.4.3 Principal component analysis (PCA)
                                                                  PCA is used to identify the most important components
                                                              among the large variable numbers in the entire original data
                                                              set. The outputs of biplot were interpreted to be a better
                                                              understanding of the water quality in the sampling locations
                                                              for 2018 and 2020. In this study, PCA was performed using
                                                              Origin pro-2021.
                                                        160
higher than in 2018. Meanwhile, the oxidation-reduction
potential (ORP) was so much different in both 2018 and
2020.
   The comparative graph of water quality in both 2018 and
2020 is shown in Fig 2.
             Temp(°C)          pH                DO(mg/l)
             Cond(µS/cm)       ORP(mV)
 400.0
 300.0
                                                         187.6
 200.0                      166.9
                                135.5
 100.0
           32.2                         30.5                 20.8
                  7.0 4.9                      8.6 5.2
   0.0                                                                            Fig. 4. Water quality distribution map in 2020
                     2018                         2020
                                YEAR
                                                                              The independent t-test was performed and the results
              Fig. 2. Water quality in 2018 and 2020                      were shown in Table 1. According to results of t-test, as
                                                                          shown in Table 1, values of temperature were statistically
    According to water quality distribution maps shown in                 significant at significance level p<0.05, confirming that the
Fig 3 and Fig 4, minimum DO value in 2018 is 0.6 while in                 values of temperature were lower in 2020. Besides, pH
2020, the minimum DO value is 0.5. Maximum pH value in                    values were higher in 2020 with the significance level
2020 has become higher than in 2018. In 2018, conductivity                p<0.05. As far as DO, Conductivity, and ORP were
distribution in both 2018 and 2020 is a similar distribution.             concerned, they were not statistically significant by the
But for ORP values, in 2018, most sites show low ORP                      results of t-test.
values while in 2020, only some parts have low ORP values.
                                                                             Table 1: t-test analysis for water quality parameters in
                                                                          2018 and 2020
                                                                    161
Meanwhile, conductivity was strongly correlated in both           JS14, JS15. This showed that these sites were mainly
2018 and 2020. But for ORP values in both 2018 and 2020,          controlled by water quality parameters in 2018. From the
these values were not correlated with each other (r= -0.1,        results of biplot, as shown in Fig 6, temp, Chl and Cond had
p>0.05).                                                          a positive score with PC1 on the sites of JS1, JS3, JS18 while
                                                                  temp, DO, pH Chl had the positive score with PC2 on the
   Table 2: Correlation analysis for water quality                sites of JS3, JS5, JS4, JS6, JS7, JS8, JS15.
parameters in 2018 and 2020
                                                                  IV. Conclusion
     Parameters          Year          r          p-value
                                                                      From the results of this study, t-test revealed that
    Temperature          2018
                                    0.0905          0.721         temperature and pH were significantly different between
       (o C)             2020
                                                                  2018 and 2020, and the correlation of pH, DO Conductivity,
                         2018                                     and ORP between 2018 and 2020 were also found out. By
        pH                          0.5437       0.01972*
                         2020
                                                                  biplot results, in 2018, JS3, JS4, JS5, JS6, JS7, JS9, JS12,
        DO               2018
                                    0.6638       0.00267*         JS14, and JS15 were the main influenced sites by the water
      (mg/l)             2020
                                                                  quality parameters. JS1, JS3, JS4, JS5, JS6, JS7, JS8, JS15,
   Conductivity          2018
     (µS/cm)             2020
                                    0.8805        <0.001*         and JS18 were the main influenced sites by water quality
       ORP               2018                                     parameters in 2020. Moreover, the distribution of each water
                                    -0.1805         0.488         quality in both 2018 and 2020 can be seen clearly by IDW
       (mV)              2020
                                                                  method showing that some parts of study area of Chhnok Tru
                                                                  village still need to consider for lake ecosystem management.
                                                                  Acknowledgment
                                                                      We are thankful to the Science and Technology Research
                                                                  Partnership for Sustainable Development (SATREPS, Grant
                                                                  No: JPMJSA1503), the Japan Science and Technology
                                                                  Agency (JST)/Japan International Cooperation Agency
                                                                  (JICA), and French Development Agency (AFD, Grant No:
                                                                  CKH 1236 02P) for their financial support.
                                                                  References
          Fig.5. Biplot of water samples in 2018
                                                                  [1] Campbell, I. C., Say, S., Beardall, J. (2009). Tonle Sap Lake, the
                                                                      Heart of the Lower Mekong. The Mekong, 251–272.
                                                                      https://doi.org/10.1016/B978-0-12-374026-7.00010-3
                                                                  [2] Sarkkula, J., Kiirikki, M., Koponen, J., & Kummu, M. (2003).
                                                                      Ecosystem processes of the Tonle Sap Lake. The 1st Workshop of
                                                                      Ecotone Phase II, 1–14. https://doi.org/10.2307/171246
                                                                  [3] Shivakoti, B. R., Bao, P. N. (2020). Environmental Changes in
                                                                      Tonle Sap Lake and its Floodplain: Status and Policy
                                                                      Recommendations. In Institute for Global Environmental
                                                                      Strategies, Tokyo Institute of Technology, Institute of Technology
                                                                      of Cambodia. https://www.iges.or.jp/en/pub/tonlesapsatreps/en
                                                                  [4] Chem, V., Hieav, S., Kim, C.(2019). Assessment of Seasonal
          Fig. 6. Biplot of water samples in 2020                     Nutrient Loads from Floating Community of Chhnok Tru at Tonle
                                                                      Sap Lake, Cambodia. A Senior Project Report Presented to the
                                                                      Academic Member of the Faculty of Mathematics, Science, and
    According to the results of the biplot, as shown in Fig 5,        Engineering (Bachelor’s degree thesis). Paññāsāstra University of
in 2018, Cond, temp, DO, pH and ORP had a positive score              Cambodia
with PC1 on the sites of JS3, JS4, JS5, JS6, JS7, JS9, JS12,
                                                            162
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
                  1
                   Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                        Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                  2
                    School of Life Science and Technology, Tokyo Institute of Technology, 4259 J 3-8
                                 Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan
      3
        Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                  Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                          * Corresponding author: rtan@itc.edu.kh
Abstract
    As a treatment of water, coagulation of minute particles and disinfection of microbes are the most commonly used. The
aim of this study is to optimize the appropriate condition of two different kinds (yellow and brown) of polyaluminum chloride
(PAC), and alum with Ca(OCl)2 for the treatment of surface water of Tonle Sap River. The optimum dosage of coagulants was
obtained based on residual turbidity and pH change. The optimum dosage of Ca(OCl) 2 was obtained based on efficiency of
removal bacterial cells and residual free chlorine. The series experiment was conducted to study the impact of dosing of
(yellow and brown) polyaluminum chloride and alum with Ca(OCl)2 on Tonle Sap River within high turbidity, The result of
experiment showed that the highest efficiency of turbidity removal within 97.1%, 95.6% and 95.6% of 60 mg/L of yellow
PAC, brown PAC and alum respectively, while pH was changed from 7.45 to 7.08, 6.88 and 6.77 respectively. As a result of
using those optimum coagulant with Ca(OCl)2, 100% of E.coli removal was obtained at 1.0ppm and 1.7ppm of free chlorine
dosing, while the residual of free chlorine was range from 0.21-0.35ppm. Therefore, the amount of those coagulants and free
chlorine are good for water treatment to get high quality by following the standard Ministry of Industry Mines and Energy,
and World Health Organization guideline.
Keywords: Alum, pH change, polyaluminum chloride (PAC), turbidity removal, residual of free chlorine.
                                                         163
particle substance as well as turbidity was needed before           below 7.5 and is a more disinfectant, while hypochlorite ions
disinfection process [5].                                           are more effective at pH above 7.5 [16]. Aluminum
     Turbidity is one of the important physical parameters of       coagulant are aluminum sulfate (Alum), polyaluminum
environmental water which presenting the amount of                  chloride (PAC), poly aluminum silicate sulfate (PASS),
particle suspended and colloidal matters such as clay, silt,        polyaluminum silicate sulfate chloride (PASC) are widely
finely divided organic and inorganic, and other                     used in water treatment, using these coagulant are associated
microorganisms [6, 7]. These particles can scatter the light        with series problem due to over amount of residual
creating muddily and cloudy in water [8]. Colloidal particles       aluminum cause by overdose of coagulant [17]. The
are normally carry negative charge on their surface which           different color of polyaluminum chloride have different in
lead to the stabilization of the suspension [9]. Turbidity itself   application     and    production     technology.     Yellow
does not represent a direct risk to public health, nevertheless,    polyaluminum chloride (Y. PAC) was mainly used for
it indicates the possibilities to include hazardous chemicals       sewage disposal and drinking water treatment. Brown
and/or pathogenic microorganisms. The high turbidity leads          polyaluminum chloride (B. PAC) was used for waste water.
to impair the disinfection of water which acts as a barrier         The characteristic of yellow and brown PAC waw showed
between disinfectant and microbial, and the cause of                in Table 1. The main objective of this study is to optimize
forming the disinfection by-products which may have long-           the treatment condition of yellow PAC, Brown PAC and
term health effects. Therefore, the turbidity was needed to         alum with Ca(OCl)2 for removal of contaminants from the
be reduced before disinfection [7, 10]. As Ministry of              water of Tonle Sap River.
Industry Mines and Energy reported that to prevent any
contamination of water, water system needs to go through            II. Materials and Methods
four stages such as the storage reservoir, coagulation-
                                                                    2.1. Sampling sites
flocculation, filtration and disinfection and based on
                                                                        Raw water in this study was collected from Tole Sap
standard quality within turbidity below 5 nephelometric
                                                                    River at Phnom Penh (with coordinate 11.5787626,
turbidity unit (NTU) [11].
                                                                    104.9249167) on Sept. 9, 2020 at 6:30am.
     Coagulation and flocculation are utilized to remove the
organic matter from the water, which are taken place in serial
                                                                    2.2. Experimental set-up
steps that permit particle collision and growth into floc, then
                                                                    2.2.1. Prepare of stock solution
followed by sedimentation. The serial steps are connected,
                                                                         1% of coagulants stock were prepared by 1 g of
if coagulation is incomplete, the following steps are also
                                                                    coagulant was suspended in 99 ml of distilled water and
incomplete and will be unsuccessful [12]. In coagulation
                                                                    stirring in room temperature. Therefore, added 1ml of stock
process, colloidal or particles were destabilized by charge
                                                                    solution to 1L of water is 10 mg/L. 0.1g of calcium
neutralization a coagulant or flocculant with a high positive
                                                                    hypochlorite granule was suspended in 100 ml of distilled
charge is adsorbed on to the surfaces of negatively charged
                                                                    water to produce Ca(OCl)2 stock solution and stirring at
colloids to form the small aggregate of particle, while in
                                                                    room temperature. The concentration of free chlorine was
flocculation, aggregation particles are gathered into larger
                                                                    obtained by an actual measurement using N,N-dimethyl-𝜌-
[13].
                                                                    phenylenediamine (DPD) method.
     Coagulation and disinfection are the most commonly
                                                                    2.2.2. Coagulation and flocculation process
used for removing turbidity, color, algae and kill or
                                                                        250 ml of raw water was filled in 4 bottles and were
inactivate infective microorganisms from surface water.
                                                                    treated with three types of coagulant such as yellow PAC,
Chemical coagulant was used to form floc for removal of
                                                                    brown PAC and alum with various dosing 20, 40, 60 and 80
those impurities [14]. Chlorine was used as a chemical
                                                                    mg/l were performed stirring 3 mins with 300 rpm and
disinfectant due to its effectiveness, low cost, and easy to
                                                                    settling time for 60 mins.
manage. Chlorine can be used in the form of calcium
                                                                    2.2.3. Coagulation and disinfection process
hypochlorite, sodium chlorite, or chlorine gas. When
                                                                         250 ml of raw water was filled in 4 bottles and were
chlorine undergo with water, it produced hypochlorous acid
                                                                    treated with optimize coagulants with 300 rpm stirring speed
(HOCl) and hypochlorite (OCl- ) [15]. Hypochlorous acid
                                                                    for 1 min before added Ca(OCl)2, after added Ca(OCl)2
act as a prime disinfection agent and its dominance is at pH
                                                                    within 0.84, 1.0 and 1.7ppm of chlorine concentration were
                                                             164
continue stirring for 2 mins and settle for 60 mins.               Turbidity (NTU)                             83.53
                                                                   Coliform (CFU/100ml)                      1.33105
2.3. Analytical methods                                            E. coli (CFU/100ml)                       2.19105
    10 ml of samples were collected at 3 cm below the              pH                                           7.45
surface level. The turbidity was measured by using
HANNA-HI 98703 Portable Turbidimeter in three replicates.         III. Results and Discussion
WM-32EP/pH meter was used to measure pH. The turbidity
removal efficiency was calculated by using Eq.1.                  3.1. Effective of dosing coagulants on turbidity removal
                         (𝑇𝑢𝑟𝑖 − 𝑇𝑢𝑟𝑓 ) × 100                          The effective of yellow PAC, brown PAC and Alum dose
    %𝑇𝑢𝑟 𝑟𝑒𝑚𝑜𝑣𝑎𝑙 =                                      (Eq.1)    on turbidity removal were shown in Fig. 1. For figure was
                                 𝑇𝑢𝑟𝑖
                                                                  shown clearly that each dose of yellow PAC is more
where 𝑇𝑢𝑟𝑖 and 𝑇𝑢𝑟𝑓 are the initial and final turbidity,          effective than each dose of Alum. The percentage turbidity
respectively.                                                     removal of yellow PAC was reached; 95.2%, 95.8%, 97.1%
                                                                  and 97.5% at the dose of 20 mg/L, 40 mg/L, 60 mg/L and 80
Table 1. The characteristic of yellow and brown                   mg/L, respectively. Whereas, the removal of turbidity of
polyaluminum chloride                                             alum was obtained; 89.9%, 94.6%, 95.6% and 95.5% at the
                                                                  dose of 20 mg/L, 40 mg/L, 60 mg/L and 80 mg/L, in turn. In
 Item                                 Y.PAC            B.PAC      case, 20 mg/L of those coagulants were used for water
 Al2O3 (%)                            ≥30              ≥30        treatment, brown PAC has efficiency lower than yellow PAC,
 Basicity (%)                         70-85            50-90      while the effective turbidity removal of brown PAC is more
 pH Value(1% aqueous solution)        3.5-5.0          3.5-5.0    effective than yellow PAC with 96.8% at 40 mg/L and its
 Water insoluble (%)                  ≤0.1             ≤1.5       efficiency was decrease where the dosage is more than 40
                                                                  mg/L. Hence the highest effective of brown PAC is 40 mg/L.
                                                                       Alternately, the comparation of all dose of coagulants
     After each performed treatment, the sample were taken
                                                                  was significant, the amount of yellow PAC ranges from 40-
for total coliform and E.coli count. 20 ml of sample was
                                                                  80mg/L, brown PAC between 40-60mg/L and the amount of
filtered by using Whatman® sterile membrane filters
                                                                  alum between 40-80mg/L can completely remove turbidity
without absorbent pads with 47 mm and pore size 0.45 μm
                                                                  from 83.5 NTU to below 5 NTU. According to Zouboulis et
and was cultured on each Chromocult® Coliform agar plate
                                                                  al., 2008 reported that polyaluminum chloride proved to be
which was then incubated at 36 ±2℃ for 21-24h. The
                                                                  more effective coagulant than alum in water treatment plan
number of colony-forming unit (CFU) of 100ml was
                                                                  [18]. In addition, Wang et al., 2011 illustrated that the
expressed in Eq.2. and the bacterial removal efficiency was
                                                                  effectiveness turbidity removal of polyaluminum chloride
calculated by using Eq.3.
                                                                  was slighly low that alum but it has highest effective on
                  (𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑐𝑜𝑙𝑜𝑛𝑦) × 100                        cloudness water with algae compare with alum. Hence the
 𝐶𝐹𝑈/100 =                                              (Eq.2)    ability of polyaluminum depend on the condictional of water
                𝑠𝑎𝑚𝑝𝑙𝑒 𝑣𝑎𝑙𝑢𝑚𝑒 𝑓𝑖𝑙𝑡𝑒𝑟𝑒𝑑 𝑖𝑛 𝑚𝑙
                                                                  [19].
                        (𝐵𝑎𝑐𝑖 − 𝐵𝑎𝑐𝑓 ) × 100
  𝐵𝑎𝑐𝑡𝑒𝑟𝑖𝑎 𝑟𝑒𝑚𝑜𝑣𝑎𝑙 =                            (Eq.3)            3.2. Effective of dosing coagulants on pH change
                                𝐵𝑎𝑐𝑖
                                                                       Fig. 2 illustrates the change of pH by using yellow
   where 𝐵𝑎𝑐𝑖 and 𝐵𝑎𝑐𝑓 are the bacteria of raw sample
                                                                  PAC, brown PAC and alum. As a result, the change of pH in
and treated sample, respectively. The characteristics of
                                                                  using each dose of coagulant were decrease as the dosage of
source water were shown in Table 2.
                                                                  coagulant was increased. When yellow PAC and brown PAC
                                                                  were used, the pH of water were slightly change from 7.5 to
Table 2. Physicochemical characteristics of river water
                                                                  7.2-7.0 and 7.2-6.8. while the high pH change (range from
  Parameter                                     Value             7.1-6.5) was occurred by using alum. Base on Table 1, the
                                                                  basicity of yellow PAC is between 70-85% and brown PAC
                                                            165
is between 50-90%, while the basicity of alum is zero due to   1.7ppm, respectively. When the highest percentage of E.coli
it has no OH ions in its structure [20]. High concentration    and Coliform removal of alum with free chlorine was
dosage of PAC to be used, the consumption of pH value is       100%;99.9% at 1.7ppm.
also changed. Accordingly, the optimal pH for removing
humic acid and clay is between 5-6 and 6.5-7.5 [21]. Also,
the treatment of using PAC, the optimum pH is 7.5 for its
                                                         166
Table 3. Residual free chlorine of treated water by using         References
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                                                                         sanitation, hygiene and enteric infections in
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 Ca(OCl)2 (ppm        Yellow        Brown       Alum                     634, 2013, doi: 10.1136/archdischild-2011-301528.
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 0.84                   0.17         0.17        0.16                    the methods used in the characterisation of natural
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 1.0                    0.22         0.23        0.19
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formation of aggregates during the coagulation process                   Studies on modelling, adsorption kinetics and
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been entrapped in the aggregates [23]. In contrast, the                  10.1016/j.jelechem.2017.10.009.
effective disinfection level of residual concentration of         [4]    M. Yan, D. Wang, J. Yu, J. Ni, M. Edwards, and J.
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treatment water is 1.7ppm with those amount coagulants.           [7]    M. J. Allen and R. Copes, “Turbidity and microbial
                                                                         risk in drinking water. Prepared by : Martin J . Allen ,
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                                                                         Available:
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Acknowledgement                                                          cations/turbidity-information-
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Partnership for Sustainable Development (SATREPS), the                   200217.pdf.
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                                                         168
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Laty Ma 1, Rina Heu 2, 4,*, Mardi Meas 1, Khy Eam Eang2, and Sokly Siev3, 4
             1
              Graduate School of Water and Environmental Engineering, Institute of Technology of Cambodia,
                           Russian Federation Blvd, P.O. Box 86, 12156 Phnom Penh, Cambodia
       2
         Faculty of Hydrology and Water Resource Engineering, Institute of Technology of Cambodia, Russian Federation
                                       Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
       3
         Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., P.O.
                                             Box 86, 12156 Phnom Penh, Cambodia
        4
          Water and Environmental Research Unit, Research and Innovation Centre, Institute of Technology of Cambodia,
                              Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                       *Corresponding author: heu.rina@itc.edu.kh
Abstract
    Tonle Sap Lake (TSL), the largest natural freshwater lake in Southeast Asian area with rich endowment biodiversity
and various ecosystems, provides a huge potential on agriculture and aquaculture to Cambodians who live on the floating
villages and around the floodplain area. The lake and its ecosystems, however, are widely under threat due to
anthropogenic activities occurring inside and outside of its basin such as activities by agricultures, water infrastructure
development and land use change. Currently, one of the most concerns in this watershed is lack of clean water for
consumption. While the surface water is being polluted from various human activities (e.g., fishing, navigation, using
pesticide & herbicide for plant, and floating village), the groundwater was being utilized along the TSL for domestics,
small industrials, and agricultural purposes. Most of shallow groundwater in Cambodia has been contaminated by heavy
metals including arsenic (As), manganese (Mn), and iron (Fe). The exposure of the heavy metal substances will affect
the environment and human health when its concentration is over the limitation threshold of the Drinking Water Quality
Standard in Cambodia and WHO. This study aims to review the state knowledge on the well water, as well as the
essential research approach by focusing on several topics including the occurrences, transportation, monitoring and
treatment method of heavy metals. The findings of this review paper will propose and apply for the water treatment
technologies on heavy metal removal of contaminated groundwater along the TSL. More efforts will spread the
awareness of water quality for citizen surrounding the TSL area to understand the impact of utilizing well water with
the presence of heavy mental that can affect their health in the long-term.
Keywords: Heavy metals, Occurrences, Tonle Sap Lake, Treatment methods, Well water
                                                          169
    As a result, numerous dug/tube wells along in the               ion exchange capacity of the geological materials and organic
floodplain zone have been installed and abstracted for              matter content [3].
myriad purposes such as domestic, drinking, irrigation and              Groundwater plays a dominant role in purposing of
small-scale industries (Fig. 1). According to Ministry of           domestic, water supply, irrigation and small scale industries
Rural Development (MRD, 2014), groundwater is major                 for both rural and urban due to polluted surface water and
source for drinking water supply in Cambodia [5]; 53% of            lacking of usable water in dry season[3]. Many dug/tube wells
Cambodian households drink water from groundwater                   have installed as the water resource for people live in the
sources in the dry season and ~270,000 tube-wells with hand         floodplain area along the TSL. A study found the major
pump are functioning. The previous studies have shown that          issues and challenges threatening of groundwater resource;
most of tube and drill well around the TLS area have                groundwater quality problems with high arsenic (As) and
contaminated by heavy metals [6, 7]. The existence of heavy         iron (Fe) contents in Mekong and Tonle Sap River basin [5].
metals with high concentration in water sources and drinking        Based on [5,8,9,11], the chemical distribution assessment of
water is a most concerning problem to human health.                 well water in the floodplain areas along the TSL shows that
                                                                    the present of arsenic (As), manganese (Mn), and iron (Fe)
                                                                    with high contaminants. Some provinces along the Mekong
                                                                    River Basin and TSL Basin have (As) problem in
                                                                    groundwater. About 38% of tube-wells in those provinces
                                                                    area contaminated with arsenic above 50ppb [5]. This
                                                                    review has shown the significant chemical contamination
                                                                    occurred in well water in the floodplain areas around the TSL
                                                                    (Table 1) [8-11]. Previous data analyses from 2007 to 2020
                                                                    have confirmed that the major concentration of heavy metals
                                                                    in well water such as As, Mn, and Fe with high concentration
                                                                    comparing to the standard of drinking water quality
                                                                    regulated by Ministry of industrial and handicraft [13] and
                                                                    standard for drinking water by World Health Organization [14].
                                                                        Surface water naturally interacts with the groundwater
Figure1: Location of well water around the TSL, Cambodia [5]        system noticeably shallow groundwater [7]. Therefore, the
     In this paper, several major categories focusing on the        seasonal fluctuation of surface water in TSL may contribute
occurrences and transportation of heavy metals in the               to the change of groundwater composition in the aquifer
groundwater were reviewed; a case study of well water               system. Well water quality in floodplain areas will affect by
along the TSL, the regulation for monitoring the water              the geochemical evolution comparing to other well water
quality, and the treatment methods of heavy metals, which           areas. During the rainy season, the elemental composition of
were applied as conventional water treatment at those areas.        lake water appeared to greatly influence by the intrusion of
In addition, the review had summarized and gave the                 water from the Mekong River through the Tonle Sap River.
recommendation for research required.                               During the dry season, the type of lake water shifted,
                                                                    suggesting that the lake water stored during the rainy season
2. Occurrence and Transportation of Heavy Metals                    replaced by inflow from other tributaries and groundwater
    Heavy metal is general collective term, which applies to        in its vicinity [8]. The past study showed that the seasonal
the group of metals and metalloids with atomic density              changes in the elemental composition of the lake water were
greater than 5g.cm-3 or 5 times more than water [38], and           largely controlled by surface water and groundwater
they are the natural earth’s crust components. A variety of         circulation. However, potential risks of As and other heavy
reactions in soil environment, e.g., acid/base precipitation/       metal poisoning in the lake water system are growing, which
dissolution, oxidation/reduction, and sorption/iron exchange        depend on the changes in the upper reaches of Mekong River
process can influence the speciation and mobility of metal          and material inputs into the lake. Therefore, we need to
contaminants. The rate and extent of these reactions will           monitor the status of the surface water and groundwater,
depend on factors such as pH, oxidation potential (Eh),             simultaneously, in TSL and its tributary rivers.
complexation with other dissolved constituents, sorption and
                                                                2
                                                          170
                                                                   Table2: Typical of heavy metals, their effect on Human Health
                                                                   Heavy Metals         Permissible                    Effects on
                                                                                        Level (mg/l)                Human Health
                                                                   Arsenic(As)             0.01*            Skin manifestations, visceral
                                                                                                            cancers, vascular disease.
                                                                   Cadmium(Cd)              0.003*          Kidney damage, renal disorder,
                                                                                                            human carcinogenic.
                                                                   Chromium(Cr)            0.05***          Headache, diarrhea, nausea,
                                                                                                            vomiting, carcinogenic.
                                                                   Copper(Cu)               0.25**          Liver damage, Wilson disease,
                                                                                                            insomnia.
                                                                   Iron(Fe)                 0.3***          Liver disease, heart disease,
                                                                                                            arthritis and osteoporosis.
                                                                   Nickel(Ni)               0.2**           Dermatitis, nausea, chronic
                                                                                                            asthma, coughing, carcinogen.
                                                                   Lead(Pb)                0.006**          Liver damage the fatal brain,
                                                                                                            kidney, circulatory system
                                                                   Manganese(Mn)            0.1***          Weakness, muscle pain, and
                                                                                                            dizziness.
                                                                   Mercury(Hg)             0.001***         Rheumatoid arthritis, kidneys,
                                                                                                            and nervous system
                                                                   Nickel(Ni)               0.2**           Dermatitis, nausea, coughing,
                                                                                                            chronic asthma, carcinogen
                                                                   Sodium(Na)               250***          High blood pressure, stroke and
                                                                                                            heart, stomach cancer, kidney
                                                                                                            stones osteoporosis,
                                                                   Zinc(Zn)                 0.8**           Depression, neurological signs,
                                                                                                            lethargy, and increased thirst
                                                                   Note sources: (*) WHO, (**) USEPA, (***) MIH, Cambodia [12-16]
                                                         171
4. Treatment Methods of Heavy Metal                                            risk to human body for long-term daily consuming. A
    Removal of heavy metals is an important step toward safe                   standard for drinking water regulated to protect public
drinking water. About 71% of rural Cambodia households                         health.
                                                                            The conventional water treatment method is important for
reported always treat their drinking water prior consumption [20].
                                                                               communities at TSL area, but there are no data shown the
Traditional methods were used for water treatment in                           effectiveness of heavy metals removal.
Cambodian such as boiling, filtration, sedimentation and                       Thus, this paper encourages the future research to
solar radiation, which is discussed in table 4. Our field                  develop the water treatment method to remove the
survey on 15 November 2020 at the Chhnok Tru Commune                       contaminant of heavy metal from well water with high
located along the TSL area reported that the local residents               efficiency in order to protect people and improve human
use raw water for common utilities and 20-litre plastic jugs               health around the TSL area.
for drinking. Some of them also used water treatment                         Table 5: Summary of treatment methods of heavy metals [23-33]
products including ceramic water filters, bio-sand filters and             Treatment Methods                Advantages                     Disadvantage
mineral pot filter.                                                         Ion exchange          High transformation of         Removes only limited metal ions.
                                                                            (As, Fe, Mn, Pb)      components.                    Operational cost is high.
Table 4: Comparison of traditional treatment methods [21]                                         High removal efficiency,       Not handle concentrated metal
                                                                                                                                 solution as the matrix as fouled
 Methods               Advantages           Disadvantages                                         fast kinetic reaction,         by organics and solids.
                                                                                                  Less sludge production.
Filters     To eliminate microbes           Not affordable for              Coagulation           Cost effective, Dewatering     Generation of sludge, Utilization
            No particles in water           poor households                 (As, Ni, Zn, F, Cd)   qualities.                     of chemicals is high.
                                            Water still contains                                  Cost effective, high removal   Jar test, sludge and hardness
            Ease use for large family                                                             efficiency.                    production, and pH dependence.
            No need to boil water           some microbes
                                                                            Membrane              High removal efficiency of     Very expensive, Membrane fouling,
            Produce clean, clear water                                      Filtrations           heavy metals.                   Complex process.
                                                                            (As, Fe, Mn,          Lower space requirement        High cost membrane fouling, scaling,
Boiling     Most effective way to eli       Time-consuming                                        Reusable heavy metals,          High-energy consumption.
                                                                            Cu, Cd, Zn, Pb,)                                     Sludge production.
            minate microbes                 Requires fuel
            Produces clean, safe water      Slow                            Adsorption            Easy operation,                Desorption
                                            Poses risk of fire              (As, Fe, Mn)          Less sludge production,
            Easy method for community.                                                            Low cost adsorbents.
                                                                                                  High removal efficiency
Tablets &   Effective in eliminating        Chemical substance                                    Flexibility and simplicity
powders     microbes                        maybe harmful.                                        of design & insensitivity to
                                                                                                  toxic pollution
            Ease to use                                                                           Efficient for the removal of   Initial investment is high, need
                                                                            Electrochemical
            No need to boil water.                                          Treatment             important metal ions, low       high electrical supply
                                                                            (Cu, Cr, and Ni)      chemical usage.                High initial
                                                                                                  High removal                   investment and electricity
    There is no data or research to confirm that the classical                                    Efficiency, reusable heavy     requirement
                                                                                                  metals, space saving.
product treatment could remove contaminants of heavy metals
in water, but [20] shows some effectiveness of traditional                 Acknowledgement
methods. The above treatment methods, which are being                         The authors would like to acknowledge financial support
practiced in the community and rural household, cannot                     from French Development Agency (AFD) with research
remove the heavy metals with high efficiency. The water                    grant number CKH 1236 02P and the Ministry of Education,
treatment methods for removal heavy metals with efficiency                 Youth and Sport through Higher Education Improvement
are discussed in Table 5. Adsorption is considered as a suitable           Project (HEIP) Credit No 6221-KH at Institute of
method for removal As, Fe, Mn because it is easy to operate,               Technology of Cambodia.
less sludge production and low cost. This is the best water                References
treatment for rural.                                                       [1] Campbell, I. C., Poole, C., Giesen, W., & Valbo-
                                                                               Jorgensen, J. (2006). Species diversity and ecology of
5. Conclusion and Future Research need                                         Tonle Sap Great Lake, Cambodia. Aquatic Sciences,
                                                                               68(3), 355-373.
    To sum up, some significant reviews about the                          [2] Duruibe, J. O., Ogwuegbu, M. O. C., & Egwurugwu, J.
occurrences, transportation, toxicity, regulation, and                         N. (2007). Heavy metal pollution and human biotoxic
treatment method for removal heavy metals in groundwater                       effects. International Journal of physical sciences, 2(5),
around the TSL were found as summarized:                                       112-118.
 The contaminations of heavy metals in well water along                   [3] Hashim, M. A., Mukhopadhyay, S., Sahu, J. N., &
    the TSL area were detected includes As, Fe, Mn with high                   Sengupta, B. (2011). Remediation technologies for
    concentration comparing to the standard.                                   heavy metal contaminated groundwater. Journal of
 The most toxic heavy metals that is harm to human health                     environmental management, 92(10), 2355-2388.
    is As. Another toxic heavy metal is Fe, which can also
                                                                       4
                                                                 172
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Yoichi Fujihara 1,*, Keisuke Hoshikawa 2, Hideto Fujii 3, Takashi Nakamura 4, Sokly Siev 5, and Sambo Lun 5
                 1
                     Ishikawa Prefectural University, 1-308, Suematsu, Nonoichi, Ishikawa 921-8836, Japan
                       2
                         Toyama Prefectural University, 5180, Kurokawa, Imizu, Toyama 939-0398, Japan
                           3
                             Yamagata University, 1-23, Wakaba, Tsuruoka, Yamagata 997-8555, Japan
                  4
                    Tokyo Institute of Technology, 4259-G5-3, Nagatsuta, Midori, Yokohama 226-8501, Japan
     5
         Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                           * Corresponding author: yfuji@ishikawa-pu.ac.jp
Abstract
    Water temperature is an important parameter for lake management because it has a major impact on material circulation
and the local ecosystems. In addition, various regions have witnessed increased lake water temperatures owing to the increased
air temperatures caused by the recent climate changes. However, there is little information on the water-temperature
characteristics and long-term water-temperature trends for Tonle Sap Lake, Cambodia, as there are no regular, long-term
water-temperature observations, and little is known about the changing lake water environment. Therefore, we investigated
the characteristics of and trends in surface water temperatures of the Tonle Sap Lake from 2000 to 2019 using MOD11A1, a
MODIS product to obtain daily land surface temperature data using Google Earth Engine. Moreover, the relationship between
water temperature fluctuations and hydrological–meteorological conditions (e.g., air temperature, precipitation, and lake
water level) were analyzed. The maximum and minimum water temperatures were recorded as 30.7 ℃ and 24.6 ℃ in May
and January, respectively, indicating that these trends were one month behind those of the air temperatures. One of the spatial
characteristics of this lake is that the northern part is cooler than the southern part. With respect to the water temperature
trends, the maximum value increased at the rate of 0.20 ℃ in 10 years, minimum value decreased at the rate of 0.78 ℃ in 10
years, and difference between the maximum and minimum temperatures is increasing. There was a significant correlation
between the maximum water temperature and lake water level. The lake water level has declined recently, with the maximum
water level for 2000–2009 being 9.3 m (maximum: 10.4 m, minimum: 9.3 m) and that for 2010–2019 being 8.2 m (maximum:
10.5 m, minimum: 6.0 m). This indicates that the declining water levels are causing higher maximum water temperatures with
increasing air temperatures. Conversely, the correlation between the minimum water temperature and lake water level was
not strong. Factors contributing to the lower minimum water temperatures were not identified and must be studied in more
detail in the future.
Keywords: Surface water temperature, MODIS, Climate change, Lake water level, Google Earth Engine
                                                         173
have witnessed a rise in lake water temperature due to the       (maximum 26.5 °C, minimum 25.7 °C), while for the 2010–
rise in air temperature caused by recent climate change.         2019 period it was 25.9 °C (maximum 26.7 °C, minimum
However, there is little information on long-term water          25.2 °C). We found that the annual fluctuation of water
temperature trends for Tonle Sap Lake, as there are no           temperature has been increasing since 2009. Moreover, the
regular, long-term water temperature observations.               surface temperature showed a decreasing trend of 0.78 °C
Although Oyagi et al. (2017) reported intensive observations     /10 years, and there was no trend for the air temperature of
of water temperature and no thermocline in the lake, little is   Phnom Penh city. Considering that the temperature rise due
known about the changes in the lake's water environment.         to global warming has shown an upward trend of 0.34 °C /10
                                                                 years worldwide (O’Reilly et al., 2015), the decrease in
II. Materials and Methods                                        temperature of Tonle Sap Lake is an interesting phenomenon.
    We investigated the trend in surface water temperature
of Tonle Sap Lake from 2000 to 2019 using MOD11A1,
which is a MODIS data product, and there are 365/366
images per year. The R-square between the observed water
temperature and MODIS-derived temperature was                                        30
approximately 0.54 in Tonle Sap Lake. We used the Google
                                                                  Temperature ( ℃)
                                                                                                           95 percentile
Earth Engine, a cloud-based platform for global-scale                                                      Median
geospatial analysis that uses Google's computational                                                       5 percentile
capabilities for various high-impact societal applications,
including water management, climate monitoring, and                                  25
environmental protection. It is an integrated platform
designed to empower traditional remote sensing scientists
and a much wider audience lacking the technical capacity
required to use conventional supercomputers or large-scale
cloud computing (Gorelick et al., 2017).
    We investigated the lake water temperature fluctuations                          20
                                                                                     2000                              2010                2020
for open water areas throughout the year. The data tended to                                                           Year
be influenced by clouds. The median image for the year was                                            Fig. 1 Trends of water temperature
obtained for each pixel from 365/366 land surface                                                       (maximum, minimum, and mean)
temperature values to remove this influence. In addition, the
median surface temperature within the lake boundary was
obtained to calculate the annual and lake average water                                                     Max
temperatures. The trend of this median surface temperature                                                  Average
                                                                                                 12
                                                                                                            Min
was analyzed for data spanning 20 years. We also analyzed
the yearly median air temperature of ERA5. In addition, as
                                                                               Water Level (m)
                                                          174
                                                                2000–2009           2010–2019
30 30 30
                                   28                       28                      28
                                    27    28       29    30 1000     1500       2000   6     8      10
                                      Annual air temp ( ℃) Annual precipitation (mm) Max. water level (m)
                                                 Fig.3   Factors of maximum surface water temperature
                                                                2000–2009           2010–2019
             Min water temp. (℃)
23 23 23
22 22 22
                                   21                           21                             21
                                        r=0.10                       r=0.03                         r=0.14
                                    27   28       29    30 1000     1500       2000  6      8      10
                                     Annual air temp ( ℃) Annual precipitation (mm) Max. water level (m)
                                                 Fig.4   Factors of minimum surface water temperature
    For the 2000–2009 period, there was a positive                            be studied in more detail in the future.
correlation between annual water temperature and annual                           The construction of a group of large dams is currently
maximum water level. However, after 2009, it changed to a                     underway in the up-stream area, and it has been suggested
negative correlation, and the variability between annual                      that this will change the hydrological environment in the
water temperature and annual maximum water level                              Mekong River (for example, Hecht et. al., 2019). While the
increased. It appears that both annual water temperature and                  relationship between water temperature fluctuation and dam
annual maximum water level have fluctuated more since                         construction cannot be accurately established in our study,
2009. There was a significant correlation between the                         such an investigation is necessary in the future. Due to the
maximum water temperature and lake water level (Figure 3).                    lack of hydrological data on Tonle Sap Lake, there has been
The lake water level has declined recently, with the                          no regular water quality monitoring, including water
maximum water level for 2000–2009 being 9.3 m                                 temperature, but water temperatures have definitely begun
(maximum: 10.4 m, minimum: 9.3 m) and that for 2010–                          to change since 2009.
2019 being 8.2 m (maximum: 10.5 m, minimum: 6.0 m).
This indicates that the declining water levels are causing                    IV. Conclusion
higher maximum water temperatures with increasing air                             We investigated the characteristics of and trends in
temperatures. Conversely, the correlation between the                         surface water temperatures of the Tonle Sap Lake from 2000
minimum water temperature and lake water level was not                        to 2019 using MOD11A1, a MODIS product to obtain daily
strong (Figure 4). Factors contributing to the lower                          land surface temperature data using Google Earth Engine.
minimum water temperatures were not identified and must                       Google Earth Engine is an effective tool for satellite image
                                                                      175
analysis. The maximum and minimum water temperatures                     variable warming of lake surface waters around the
are recorded in May and January, respectively, indicating                globe, Geophysical Research Letters, 42,
that these are one month behind those of the air temperatures.           2015GL066235, doi:10.1002/2015GL066235
One of the spatial characteristics is that the northern part is    [6]   Oyagi H, Endoh S, Ishikawa T, Okumura Y,
cooler than the southern part. Maximum water temperature                 Tsukawaki S (2017) Seasonal changes in water
increased at the rate of 0.20℃/10-year, minimum water                    quality as affected by water level fluctuations in Lake
temperature decreased at the rate of 0.78℃/10-year.                      Tonle Sap, Cambodia, Geographical Review of Japan
    There was a significant correlation between the                      Series            B,           90(2):            53-65,
maximum water temperature and lake water level. The lake                 doi:10.4157/geogrevjapanb.90.53
water level has declined recently. This indicates that the
declining water levels are causing higher maximum water
temperatures. The correlation between the minimum water
temperature and lake water level was not strong. Factors
contributing to the lower minimum water temperatures were
not identified and must be studied in more detail in the future.
Acknowledgement
    We are thankful to the Science and Technology Research
Partnership for Sustainable Development (SATREPS), the
Japan Science and Technology Agency (JST)/Japan
International Cooperation Agency (JICA) for their financial
support.
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       images, Hydrological Processes, 33(21): 2745-2758,
       doi:10.1002/hyp.13525
[5]    O’Reilly CM., Sharma S, Gray DK, Hampton SE,
       Read JS, Rowley RJ et al. (2015) Rapid and highly
                                                            176
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
                     1
                         School of Environment and Society, Tokyo Institute of Technology, 2-12-1-M1-4
                                            Meguro-ku, Tokyo, 152-8552, Japan
                                              * yoshimura.c.aa@m.titech.ac.jp
Abstract
       Pharmaceuticals and personal care products (PPCPs) are a unique group of emerging environmental
   contaminants which are widely found in water environment in the world. An increasing number of studies has
   confirmed the presence of various PPCPs in different environmental compartments, which raises concerns
   about the potential adverse effects to humans and wildlife. To overcome this issue of PPCPs, heterogeneous
   photocatalysis, for example using TiO2, is an emerging and viable treatment technology. Its combination with
   carbonaceous materials (e.g., activated carbon, carbon nanotubes and graphene nanosheets) has been found to
   significantly improve the performance. In this study, meta-analysis with random effects model was applied to
   literature data from more than fifty series of experiments. As a result, the pooled mean removal efficiency of
   PPCPs by carbonaceous/TiO2 materials was 89.5% (95 % CI = 83.4 – 94.4%, k= 64). Subgroup analysis
   expounded the important and influential variables (e.g., different carbon-based TiO2 photo-catalysts, process
   parameters and PPCPs characteristics) in the degradation processes. Furthermore, artificial neural network
   models were applied to modeling the performance (removal efficiency) of these carbonaceous/TiO2
   photocatalytic experiments.
Keywords: artificial neural network modeling, carbonaceous/TiO2 composites, heterogeneous photocatalysis, meta-
analysis, modified kinetic modeling
                                                         177
nanomaterials is an innovative approach for the                   retrieved articles. The quality of a study was evaluated by
enhancement of photocatalytic activity.                           the criteria of clarity, for instance, the associated
    The study of carbonaceous/TiO2 has now focused on             methodologies. The availability of the data was analyzed by
synthesis and optimization of the photocatalysts and              whether the study implied the mean and standard deviation
treatment of single PPCP compounds[3].There are rare              of data. After these assessments, papers will be compiled as
models which combined element reaction and operation              the primary dataset, including the first author, year of
conditions together for prediction of photocatalytic              publication, the type of PPCPs, composition and dosage of
performance. Similar photocatalytic processes showed a            photocatalysts, initial concentration of experiment, source
variation in degradation performance for the same PPCP            and intensity of light irradiation, reaction time, temperature,
compound . For instance, the removal efficiency of                removal efficiency (RE) and apparent rate constant (Kapp).
Ibuprofen by AC/TiO2 photocatalytic system, varied from           The other properties recorded from pubmed.com, and they
78.2% to 99%[4].This fragmented information makes it              were: molecular weight (MW), topological polar surface
difficult to compare the removal of a certain pollutant and to    area (TPSA), complexity, pKa and octanol/water
investigate the influential parameters, operation settings and    partitioning coefficient (logKow). The total data points
the technique application in actual industry. In addition,        included in each analysis are shown in Table 1.
present study only focused on one or several PPCPs in one
study. While the understanding of removal performance of          Table 1. Data points included in each analysis
multiple PPCPs under different reaction condition is needed
to support the real application step.                              Category                                  Data points (k)
   Thus, it is helpful to optimize bias and variation between
                                                                   Total                                            64
studies and utilize results from multiple PPCPs and reaction
conditions. In addition, effort could be taken to build a          Meta-analysis                                    64
model based on the existing experimental results, which            Artificial neural network modeling               49
could be applicable for future prediction of
photodegradation performance of PPCPs. The specific
objectives of this study are:
                                                                  2.2. Description of statistical approaches
(1) To statistically understand the removal efficiency of
                                                                  (a) Meta-analysis
PPCPs by carbonaceous/TiO2 photocatalytic treatment;
                                                                    Meta-analysis is a statistical procedure for combining
(2) To identify the important variables in causing the
                                                                  results from multiple studies which originated from medical
difference in removal performance, getting insight into the
                                                                  research. A meta- analytical approach can access the drivers
degradation process;
                                                                  of the variability relating to the inherent properties of the
(3) To build a model based on the data collected from
                                                                  chemicals and operations parameter of a treatment. process.
literature, addressing both the element reaction and
                                                                  In the field of environmental research, for the effect of
operation conditions.
                                                                  interest is removal efficiency, correspondingly proportion
                                                                  meta-analysis is applied[5]. Unless otherwise specified, R
II. Materials and Methods                                         program (version 3.6.3) was used for statistical analysis.
2.1. Data source, searching strategy and data processing          Meta-analysis was conducted using ‘metafor’ and ‘meta’
   A systematic search of the peer-reviewed literature            packages. Random effects model was assumed to
was carried out in the Web of Science database for articles       accommodate the anticipated heterogeneity.
that evaluated the PPCPs photodegradation processes in
aqueous solution. The literature search was limited to peer-      (b) Artificial neural network modeling
reviewed publications written in English between 2010 until          Artificial neural network modeling (ANN) is used to
June, 2020.                                                       recognize the relationship between variables and
  The inclusion criteria were applied to each publication and     degradation performance[6]. The input variables were set as
they included scope, study quality, and data availability.        molecular related variables (molecular weight of
Scope criteria is the evaluation of titles and abstracts of the   compounds, logKow, pKa, complexity and TPSA) and
                                                           178
process related variables (concentration, dosage of             irradiation time from 1 to 4 hours. The pooled average RE
photocatalyst, TiO2 content of photocatalyst, light source      for PPCPs degradation by the carbonaceous/TiO2
and intensity). And the output variables were set as removal    photocatalysis was 89.5% (95 % CI = 83.4 – 94.4%, k= 64).
efficiency. MATLAB 2019a (ANN toolbox) is used for the          The results of subgroup parameters analysis were shown in
development of ANN model. A supervised learning                 Table 3.
technique called Levenberg-Marquardt was used for the               The highest removal efficiency was obtained from
training of the network. The total number of hidden neurons     CNT/TiO2 subgroup with an average percentage of 94.6%
was decided by the mean square error (MSE) and the              (95% CI = 89.8 – 98.0%, k= 29), followed by AC/TiO2
performance of the ANN model was evaluated by                   (79.6%, k= 11) and Graphene/TiO2 (78.9%, k= 8).
correlation coefficient (R). The settings of ANN model are      Regarding light source, UVC has the highest pooled average
shown in Table 2.                                               removal efficiency (93.2%,95%CI=86.4–97.9%, k=28).
    Sensitivity analysis was conducted by Garson’s              Most PPCPs were persistent under visible photocatalytic
method[6].Each weight decides which proportion of the           process (RE < 10%), while the graphene/TiO2 has appeared
incoming signal will be transmitted into the neuron’s body .    to improve the overall degradation.
It is based on partitioning of connection weights and
expressed as the follow equation:                               Table 3. Results of meta-analysis
                                                          179
dotted line. For the overall model performance, the             carbonaceous/TiO2 system published in literatures from
correlation coefficient (R) is 0.94.                            2010 to 2020, applying both statistical and modelling
                                                                method to characterize and model the process. The results
                                                                from meta-analysis found out the pooled average removal
                                                                efficiency at 60-minutes’ reaction time of PPCPs by
                                                                carbonaceous/TiO2 photocatalysis is 89.5%, and CNT/TiO2
                                                                composites have the best removal performance of 94.6%.
                                                                Artificial neural network with good prediction performance
                                                                was built based on both molecular related features and
                                                                process related parameters. A better ANN model may be
                                                                realized by combing quantum structural features of
                                                                molecular and process parameters, for prediction of multiple
                                                                PPCPs under different reaction conditions[7]. However,
                                                                model over-fitting is a problem needed to be discussed in the
                                                                future studies.
                                                                Acknowledgement
                                                                    We are thankful to the Science and Technology Research
                                                                Partnership for Sustainable Development (SATREPS), the
                                                                Japan Science and Technology Agency (JST)/Japan
Fig. 1 Plot of the performance of the build ANN model.          International Cooperation Agency (JICA) for their financial
(Target: the observed value; Output: the predicted value by     support.
ANN model; R: correlation coefficient)
                                                                References
By Garson’s sensitivity analysis method, we obtained the        [1] Daughton, C. G. & Ternes, T. A. Pharmaceuticals and personal
importance of each input variable (Table 4). There is no        care products in the environment: Agents of subtle change?
particularly noticeable difference between the importance of    Environ. Health Perspect. 107, 907–938 (1999).
each variable, but process related variables have more          [2] Awfa, D., Ateia, M., Fujii, M., Johnson, M. S. & Yoshimura, C.
relative importance to the model output (RE) than molecular     Photodegradation of pharmaceuticals and personal care products in
related variables, counting to 61.2% of the total importance.   water treatment using carbonaceous-TiO2 composites: A critical
                                                                review of recent literature. Water Res. 142, 26–45 (2018).
                                                                [3] Gu, Y. et al. Adsorption and photocatalytic removal of
Table 4. Relative importance of input variables on RE
                                                                Ibuprofen by activated carbon impregnated with TiO2 by UV–Vis
                                                                monitoring. Chemosphere 217, 724–731 (2019).
                                                                [4] Xu, X. & Li, X. QSAR for photodegradation activity of
                                                                polycyclic aromatic hydrocarbons in aqueous systems. J. Ocean
                                                                Univ. China 13, 66–72 (2014).
                                                                [5] Mikolajewicz, N. & Komarova, S. V. Meta-analytic
                                                                methodology for basic research: A practical guide. Front. Physiol.
                                                                10, (2019).
                                                                [6] López, M. E., Rene, E. R., Boger, Z., Veiga, M. C. & Kennes,
                                                                C. Modelling the removal of volatile pollutants under transient
                                                                conditions in a two-stage bioreactor using artificial neural networks.
                                                                J. Hazard. Mater. 324, 100–109 (2017).
IV. Conclusion                                                  [7] Huang, X. et al. Mechanistic QSAR models for interpreting
                                                                degradation rates of sulfonamides in UV-photocatalysis systems.
                                                                Chemosphere 138, 183–189 (2015).
   This study collected photocatalytic process parameters
and    performance      of   PPCPs      degradation    in
                                                          180
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
 Vinhteang Kaing, Ilan Ich, Lieng Thoun, Chantharath Yos, Chan Rathborey, Chan Rathboren, Layheang Song,
                                    Marith Mong, Chantha Oeurng, Ty Sok*
Abstract: Lakes and rivers are important multi-usage components, particularly lakes are not only important sources of
surface water and livelihood for both rural and urban communities but they are also functioning as water retention receiving
stormwater and wastewater from the urban area. Located in the northern part of Phnom Penh capital city of Cambodia, Tamouk
Lake receives discharges from combined sewer systems by which a mixture of industrial wastewater, urban surface runoff,
domestic wastewater, and sewer deposits from the drainage system of Phnom Penh. The water quality of Tamouk Lake has
become more concern due to the pollutant load in wastewater discharge. This study aims to assess the spatial variation of
water quality parameters and to determine the main contamination sources in the Tamouk Lake by using multivariate
techniques. This study focuses on seven target water parameters (Total suspended solid (TSS), pH, Electrical conductivity
(EC), Dissolved oxygen (DO), Chemical Oxygen Demand (COD), Phosphate (PO 4), and Nitrate (NO3)) from 11 sampling
points. The analysis was employed individually of lake conditions; normal condition and receiving storm; for understanding
the effect of storm water to the water quality of the lake. The principle component analysis (PCA) was used to identify the
sources of contaminant that effected the lake water quality and cause degradation. In lake normal condition, the first three
principle componence explained 78.5% of the total variance in the water quality data set, while in receiving storm water
condition, the first two principle componence explained for 83.15%. Overall, the study showed that most of factors determine
the water quality of Tamouk lake is associated with the anthropogenic pollution sources from urban wastewater and biogenic
sources in the lake. The study suggested that the management of wastewater discharge from Phnom Penh City is required to
lower the accumulation of pollutants and minimize lake water quality degradation.
Keywords: floodplain urbanized area, multivariate techniques, principal component analysis, urban wastewater
                                                         181
part of Capital Phnom Penh and has been selected as one site
of wastewater treatment by JICA since 2015 [6] and to be
constructed in years due to the fact that this lake is the largest
lake in the northern part of Phnom Penh and has the low
level of the population density in the area. Additionally, the
developing status in the area is still immature [6]. It
interesting to note that Tamouk Lake receiving discharges
from combined sewer systems, by which a mixture of
industrial wastewater, urban surface runoff, domestic
wastewater and sewer deposits are discharged into receiving
waters. Since the lake functions as the storage to receive
storm water and wastewater from the drainage system in the
northern part of Phnom Penh, the water quality in Tamouk
Lake has become more concerning due to the pollutant load                Figure 1. Location map and sampling points of Tamouk
in wastewater discharge. Moreover, the study on water                                              lake
quality of Tamouk Lake is normally looked over.                      2.2. Water Quality Variables Selection
    As mentioned about the advantage of urban lake, the                  The field monitoring was conducted two times: the pre-
water quality concerning and lacking of study, the study on          storm event called ‘normal condition’ and post-storm event
water quality in the lake and identification major pollution         call ‘receiving storm water’ at 11 sampling points (Figure1
source of lake is crucial required. Therefore, this study is to      &Table 1). The field survey was conducted during the pre-
assess the spatial variation of water quality parameters (Total      storm event on 28 May 2019. After that, the second field
suspended solid (TSS), pH, Electrical conductivity (EC),             survey was conducted during the post-storm event on 7 June
Dissolved oxygen (DO), Chemical Oxygen Demand (COD),                 2019. The 11 sampling points from the depth of 10 cm in
Phosphate (PO4), and Nitrate (NO3)) and to determination             Tamouk Lake were established for both field surveys.
the main contamination sources in the Tamouk Lake, a
                                                                      Table 1. Water quality variable and site location consider
floodplain Urbanized Area in Cambodia, by using
                                                                                         in Tamouk Lake
multivariate technique.
                                                                      Date           Variables               Site location
II. Materials and Methods                                                            EC, DO, pH, COD,        Inlet, outlet, and
                                                                      28/05/2019
                                                                                     PO4, NO3, TSS           middle of the lake
2.1. Sampling sites
                                                                                     EC, DO, pH, COD,        Inlet, outlet, and
    The study was conducted in Tamouk Lake (or Kob Srov               07/06/2019
                                                                                     PO4, NO3, TSS           middle of the lake
Lake) situated in Prek Pnov district of Phnom Penh,
Cambodia. Tamouk Lake is the largest natural lake and the            2.4. Principal component analysis (PCA)
major reservoir of wastewater treatment in the northern area             Principal Components Analysis (PCA) was used to
of Phnom Penh city. This lake is surrounded by 2 inlets, 2           provide information on the most meaningful parameters
outlets, and three water gates as shown in the map (Figure           which describe the whole data set interpretation and data
1). As reported by [6], this lake covers 3270 ha and the depth       reduction, and summarize the statistical correlation among
water is 3.0-4.5 m in the dry season and accumulate 2-3 m            constituent in the water with minimum loss of original
more in the rainy season. Moreover, the Tamok sewage                 information [7]. PCA data are mainly reflected by the
system is a separate system that covers the treatment area of        variance of data variables. The greater the variance, the more
6,019.2 ha with the population of around 481,000                     information is included as measured by the cumulative
(population projection to 2035). The total length of trunk           variance contribution ratio. PCA were performed on
sewer is 66.1 km (diameter from 200 mm to 1,650 mm), and             standardized data with z-scale of mean zero and standard
the pumping stations were installed at nine locations, seven         deviation of one in order to have an equal weight to every
of which were pumping stations were manhole type and two             variable, this is for minimizing the influence of variable
were installed at the inlet of Tamouk Lake [6].                      whose variance is large and adjusting for the disparity in the
                                                                     variable sizes, in the units of measurement and renders the
                                                              182
data dimensionless [8-10].                                                        conservation planning. It is affordable for us to take water
                                                                                  quality conservation measures to the condition with good
III. Results and Discussion
                                                                                  water quality while take positive counter measures to
3.1. Water quality characteristic                                                 condition with poor water quality.
    From spatial location, pH decreased (7.7 to 9.6) at the
                                                                                  3.2. Identification of potential sources of monitored
inlet of the lake and slightly increase at the downstream as
                                                                                      variables
the middle of lake and outlet (9.2 to 9.5, 9.6 to 9.7). However,
                                                                                      The PCA was performed to understand the relationship
the DO level in the water is opposite with pH value due to
                                                                                  between the water quality variables of all sampling points
the increasing the anoxic in the surface runoff from the urban
                                                                                  and to identify their characteristics. Factor analysis of the
area at the receiving storm water. TSS is dramatically
                                                                                  present data set of Tamouk lake further reduced the
increased at the post-storm event due to the erosion and
                                                                                  contribution of less significant variables obtained from PCA.
sediment that washed from the road surface by the runoff.
                                                                                  The two lake conditions; normal condition and receiving
Additionally, EC is a bite increase in the lake at the post-
                                                                                  storm water; were individually examined to see the effect of
rainfall event due to the additional ion and salt that picked
                                                                                  storm water to the lake’s water quality. The PCs with the
from the road surface during the storm event. Although, EC
                                                                                  eigenvalue greater than 1 were extracted entire PCs of data
of sample 2 and 3 are very high at the pre-storm event due
                                                                                  set to be the retained PCs and the components with
to the level of ion and salinity in wastewater discharge.
                                                                                  eigenvalues lower than 1 were removed due to their low
Furthermore, the different level of PO4 and NO3 in the lake
                                                                                  significance [13]. The PC loadings of the water quality
due to the correlation of NO3 with PO4 [11, 12]. Then, COD
                                                                                  variables were categorized as ‘strong’, ‘moderate’, and
at the inlet is drop-down, but it rises a bite near the outlet at
                                                                                  ‘weak’ corresponding to the absolute loading values of
the post-storm event. This comes from the positive
                                                                                  >0.75, 0.75–0.50 and 0.50–0.30, respectively [10].
correlation between COD and pH [12].
                                                                                      In lake normal condition, the first three PCs explain 78.5%
    Table 2. Range of surface water quality parameters in
                                                                                  of the total variance in the water quality data set (Table 3).
                        Tamouk Lake
                                                                                  The first factor (PC1) has moderate negative loading on EC
                           Parameters    Min     Mean      Max      SD
                                pH       7.90      8.93    9.63     0.62          and COD and weak negative loading with PO4. This factor
                                DO       9.14     11.01    11.69    0.68          can be attributed to biogenic and anthropogenic from urban
   Normal condition
                                EC      224.00   387.27   763.00   194.93         wastewater pollution sources. The second factor (PC2)
                               TSS       1.00    28.64    97.50    27.43          showed moderate negative loading on TSS and weak
                               COD      10.20    38.95    112.00   38.84          positive loading on pH. This factor could be associated with
                               PO4       2.90     6.26    14.50     4.01          the physical and chemical properties of the water, and to
                                                                                  natural weathering of the basin. These two originated
                               NO3       2.80     5.13     9.20     1.81
                                                                                  primarily from run-off with high load of solids from point
   Receiving storm water
                                                                            183
Tamouk lake, the main point source should be from                References
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   The results from PCA suggested that most of factor                  water quality interpretation using environmetric techniques:
                                                                       Case study at Perlis River Basin, Malaysia. International
determine the water quality of Tamouk lake is associated
                                                                       Journal of Environmental Protection 2011, 1(5):1-8.
with the anthropogenic pollution sources from urban              2.    Vaze J, Chiew FH: Experimental study of pollutant
wastewater and its biogenic sources in the lake.                       accumulation on an urban road surface. Urban Water 2002,
    Table 3. Factor loadings of principle components of                4(4):379-389.
                                                                 3.    Akpor O, Otohinoyi D, Olaolu D, Aderiye B: Pollutants in
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        receiving storm water of the Tamouk Lake                       International Journal of Environmental Research and Earth
                       Principle components                            Science 2014, 3(3):050-059.
                                       Receiving storm           4.    Verma M, Negandhi D: Valuing ecosystem services of
 Variable       Normal condition                                       wetlands—a tool for effective policy formulation and poverty
                                              water
              PC1    PC2        PC3     PC’1      PC’2                 alleviation. Hydrological sciences journal 2011, 56(8):1622-
                                                                       1639.
 pH           0.313    0.482     0.164     0.465       -         5.    Ndungu J, Augustijn DC, Hulscher SJ, Fulanda B, Kitaka N,
 DO             -      -0.310    0.732     0.425     0.229             Mathooko JM: A multivariate analysis of water quality in
                                                                       Lake Naivasha, Kenya. Marine and freshwater research 2015,
 EC          -0.595    0.003       -      -0.471       -               66(2):177-186.
 TSS            -      -0.637    -0.332   -0.218     0.648       6.    JICA: The Study on Drainage and Sewerage Improvement
                                                                       Project in Phnom Penh Metropolitan Area. Final Report 2016,
 COD         -0.536    0.237     -0.261   -0.487    -0.146
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                                                                       Fernandez L: Temporal evolution of groundwater
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                                                                       Anthemidis A, Sofoniou M, Kouimtzis T: Assessment of the
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Note: The variables with bold values of loading are variables          2003, 37(17):4119-4124.
which most explain or represent the principal components.        9.    Liu W, Li X, Shen Z, Wang D, Wai O, Li Y: Multivariate
                                                                       statistical study of heavy metal enrichment in sediments of the
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Cambodia. Multivariate technique included Pearson’s              11.   Alsaqqar AS, Khudair BH, Hasan AA: Application of water
                                                                       quality index and water suitability for drinking of the
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                                                                       Euphrates river within Al-Anbar province, Iraq. Journal of
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the sources or factor of contaminant that effected the           12.   Tripathi B, Pandey R, Raghuvanshi D, Singh H, Pandey V,
Tamouk Lake water quality and cause degradation. Result                Shukla D: Studies on the physico-chemical parameters and
                                                                       correlation coefficient of the river Ganga at Holy Place
from PCA suggested that the lake water quality was control             Shringverpur, Allahabad. IOSR Journal of Environmental
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and biogenic sources in the lake. The study suggests that the    13.   Kim J-O, Mueller CW: Factor analysis: Statistical methods
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                                                                 14.   Gazzaz NM, Yusoff MK, Ramli MF, Aris AZ, Juahir H:
City is required to lower the accumulation of pollutants and           Characterization of spatial patterns in river water quality using
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Acknowledgement: We are thankful to the Agence
Française de Développement (AFD) No. CKH 1236 02P for
financial support of the study.
                                                           184
       The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                          Jointly held with
               th
         The 5 International Symposium on Conservation and Management of Tropical Lakes
                          “Insights and Challenges toward Achieving SDGs”
 Vouchlay Theng1*, Hashimoto Kana1, Sovannara Uk1, Sophanna Ly1, Tanaka Tomohiro2, Yoshioka Hidekazu3,
                                           Yoshimura Chihiro1
   1
     Department of Civil and Environmental Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku,
                                               Tokyo, 152-8552, Japan
  2
    Graduate School of Global Environmental Studies, Kyoto University, Kyotodaigaku-Katsura, Nishikyo-ku, Kyoto, 615-
                                                      8540, Japan
 3
   Graduate School of Natural Science and Technology, Shimane University, 1060 Nishikawatsu-cho, Matsue-shi, Shimane,
                                                   690-8504, Japan
                                   *Corresponding author: vouchlaytheng@gmail.com
Abstract
    The objective of this study is to develop a phosphorus (P) dynamic model by integrating the load from water and land
based villages at Tonle Sap Lake’s floodplain to investigate spatiotemporal changes of total P (TP) dynamics in the lake. A
two-dimensional local inertial model describing hydrostatic shallow surface water dynamics was applied to simulate
horizontal hydrodynamics of the lake. The processes such as advection-dispersion and internal and external loadings of TP
were considered in the developed model. The model application result in 1999-2003 showed that at least 240 villages
permanently stayed in the water from September 1999 to December 2003. The total input of TP from the tributary rivers was
estimated to be 137 ton/month in the dry season and 692 ton/month in the rainy season. On average, the estimated TP loads
from the villages were approximately 21 ton/month in the dry season and 47 ton/month in the rainy season, equivalent to 15%
and 7% of the total TP load from the tributaries, respectively. More than 83% of the lake area was in mesotrophic state and
some locations reached eutrophic state. The locations around the villages reached eutrophic state at the beginning of flooding
periods due to the release of TP mass from land to water. Increasing TP load from the villages will increase the eutrophication
problem in the rainy season which should be considered for water quality management.
Keywords: Floodplain, phosphorus dynamics, trophic state, water and land based villages, water quality model
                                                           185
II. Methodology
2.1. Description of study area
    TSL is a tropical lake-floodplain system in Cambodia.
During the dry season, the lake’s surface area is 2500 km2
and expands up to 15 000 km2 in the rainy season, extending
the lake over the vast floodplain [6]. The villages on and
around TSL were categorized into three types: land based,
land-water based, and floating (water based) [7]. The TP
load from these villages were included in this study.
                                                             186
and KGL2), Peam Bang (PBA), and 3 locations of Phnom             a
Krom (PNK1, PNK2, and PNK3) (Fig. 2). The root mean
square error of TP in the calibration was 17 µg/L (13 µg/L
in the validation) while the observed TP concentration
ranged from 5 µg/L to 69 µg/L. The calibrated settling
velocity was 0.4 m/day, and the summation of internal
loading and atmospheric loading was 8.0 mg/m2/day.
                                                        187
                               10
                                      No village                                        References
                               8      2020                                              [1]  Schindler, D.W., Hecky, R.E., Findlay, D.L., Stainton,
                                      2040                                                   M.P., Parker, B.R., Paterson, M.J., Beaty, K.G., Lyng,
 Eutrophic area increase (%)
                               6      2060
                                                                                             M., Kasian, S.E.M., 2008. Eutrophication of lakes
                               4                                                             cannot be controlled by reducing nitrogen input:
                                                                                             Results of a 37-year whole-ecosystem experiment.
                               2
                                                                                             Proceedings of the National Academy of Sciences of
                               0                                                             the United States of America 105, 11254–11258.
                                                                                        [2]  Burnett, W.C., Wattayakorn, G., Supcharoen, R.,
                               -2
                                                                                             Supcharoen, R., Sioudom, K., Kum, V., Chanyotha,
                               -4                                                            S., Kritsananuwat, R., 2017. Groundwater discharge
                                                                                             and phosphorus dynamics in a flood-pulse system:
                               -6
                                    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec          Tonle Sap Lake, Cambodia. Journal of Hydrology
                                                                                             549, 79–91.
                                Fig. 3. Effect of water and land based villages on      [3] Ung, P., Peng, C., Yuk, S., Tan, R., Ann, V., Miyanaga,
                               eutrophication area compared to the baseline of TSL in        K., Tanji, Y., 2019. Dynamics of bacterial community
                                                         2000                                in Tonle Sap Lake, a large tropical flood-pulse system
Thus, the amount of TP load from the villages will also                                      in Southeast Asia. Science of the Total Environment
                                                                                             664, 414–423.
increase. By assuming the population growth rate keeps
                                                                                        [4]  Okada, M., Sudo, R., 1986. Per Capita Loadings of
constant, 1.54%/year, the impact of the villages in 2020,                                    Domestic Wastewater. Research Report from the
2040, 2060; and no village loading on eutrophic area is                                      National Institute for Environment Studies 95, 7-20.
found by comparing to the baseline of TSL in 2000 using                                 [5] Mesdaghinia, A., Nasseri, S., Mahvi, A.H., Tashauoei,
model calibration result (Fig. 3). The results show that the                                 H.R., Hadi, M., 2015. The estimation of per capita
villages are highly effect on eutrophication in rainy season                                 loadings of domestic wastewater in Tehran. Journal
due to the inundation at the lake flood-plain area. The                                      of Environmental Health Science & Engineering 13,
                                                                                             1–9.
highest increases of eutrophic area are 2%, 5%, and 10% in
                                                                                        [6]  Keskinen, K., 2006. The Lake with Floating Villages :
October in 2020, 2040, and 2060, respectively. However, if                                   Socio- economic Analysis of the Tonle Sap Lake.
there is no TP load from the villages (e.g., people move to                                  Water Resources Development 22, 463-480.
the land or the wastewater treatment facility is developed),                            [7]  Binaya, R.S., Pham, N.B., 2020. Environmental
the eutrophic area will be reduced from 1% to 5%.                                            Changes in Tonle Sap Lake and Its Floodplain: Status
                                                                                             and Policy Recommendations. Institute for Global
IV. Conclusion                                                                               Environmental Strategies, Tokyo Institute of
                                                                                             Technology and Institute of Technology of Cambodia.
    The developed P dynamic model is useful for describing                              [8]  Huang, L., Fang, H., He, G., Jiang, H., Wang, C.,
mass balance of TP processes, the spatiotemporal changes of                                  2016. Effects of internal loading on phosphorus
P, and the effect of the villages on eutrophication in TSL.                                  distribution in the Taihu Lake driven by wind waves
                                                                                             and lake currents. Environmental Pollution 219, 760–
However, the biological process of phytoplankton uptake
                                                                                             773.
and release and speciation of P (e.g., dissolved and                                    [9]  Bai, F., Yang, Z., Zhou, W., 2017. Study of total
particulate P) were not explicitly included. The uncertainty                                 variation diminishing (TVD) slope limiters in dam-
of data should be considered in further work.                                                break flow simulation. Water Science and
                                                                                             Engineering 11, 68–74.
Acknowledgement                                                                         [10] Tanaka, T., Yoshioka, H., Siev, S., Fujii, H., Fujihara,
                                                                                             Y., Hoshikawa, K., Ly, S., Yoshimura, C., 2018. An
    We are thankful to the Science and Technology Research                                   integrated hydrological-hydraulic model for
Partnership for Sustainable Development (SATREPS), the                                       simulating surface water flows of a shallow lake
Japan Science and Technology Agency /Japan International                                     surrounded by large floodplains. Water (Switzerland)
                                                                                             10, 1–23.
Cooperation Agency for their financial support, and the                                 [11] National Insitute of Statistics (NIS), 2010. Census
Mekong River Commission and Water Utilisation                                                Map Layer and Databases 2008. National Institute of
Programme of Finland Component Project for the provision                                     Statistic, Phnom Penh, Cambodia.
of the observed data of phosphorus in Tonle Sap Lake.
                                                                                  188
         The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                            Jointly held with
                 th
           The 5 International Symposium on Conservation and Management of Tropical Lakes
                            “Insights and Challenges toward Achieving SDGs”
        Groundwater Quality Assessment in the Floodplain Area around the Tonle Sap Lake,
                                           Cambodia
        Bunhuot Ruos1, Ratana Kheang1, Sreyleang Ya2, Vuthy Chork2, Kong Chhuon2, Ratha Doung2, Ratino Sith2,
                                    Sokly Siev3, Boreborey Ty3, Khy Eam Eang2*
    1
     Master of UWE, Graduate School, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86,
                                                Phnom Penh, Cambodia
2
    Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Russian Federation B
                                      lvd., P.O. Box 86, Phnom Penh, Cambodia
      3
        Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia, Russian Federation Blvd.,
                                         P.O. Box 86, Phnom Penh, Cambodia
Keywords: Drinking water, Floodplain area, Groundwater quality assessment, Irrigation purpose
                                                           189
forty samples from selected locations were collected in wet       III. Results and Discussion
season (August, 2019) and dry season (December,2019),
                                                                  3.1. Current status of water quality
respectively.
                                                                      The pH ranged from 4.12 to 7.65 in rainy season and 3.1
                                                                  to 7.86 in dry season. The downing pH would be result in
                                                                  buffering calcium minerals but high in dissolved carbon
                                                                  dioxide (H2CO3) [9] . EC has reached 3.6 mS/cm in dry
                                                                  season. Higher EC when its depth downs to 30m and pH
                                                                  greater than 8. Temperature in both seasons ranges from
                                                                  28oC to 32oC excepting the dry season in Battambang (35oC).
                                                                  Higher temperatures can reduce oxygen and dissolve more
                                                                  minerals to higher electrical conductivity. The pH, EC, and
                                                                  Temperature are provided in Table 2.
                                                                      The platform hydro-chemical facies use to describe
                                                                  characteristic chemical composition, Table 1. It is observed
                                                                  that water samples in both seasons are influenced by cation:
                                                                  Ca > Na+K > Mg and anion: HCO3 > SO4, > Cl but, HCO3
            Fig. 1. Study area and sampling site                  increased to 75%. The majority of the water samples fall in
                                                                  calcium-bicarbonate type (Ca-HCO3) and calcium-chloride
2.2. Experimental set-up                                          type (Ca-Cl) field, in rainy season. In rainy, it is apparent
                                                                  that the total hydrochemistry is dominated by bicarbonate
    The physicochemical parameters included pH,
                                                                  (HCO3). In the dry season, the majority of waters defined as
temperature, TDS, EC were analyzed in-situ by using Multi-
                                                                  Ca-HCO3 type and following by sodium-bicarbonate type
EXO Sondes. Seven of major ions: Ca2+, Mg2+, K+, Na+, Cl-,
                                                                  (Na-HCO3).
NO3-, and SO42- were analyzed by ion chromatography (IC)
while, six heavy metals such as Mn, Fe, Cu, Pb, Cd, and Cr        Table 1. Result from piper diagram
were analyzed via atomic adsorption spectrophotometry
                                                                                                 % Sample
(AAS). IC and AAS analyses were conducted at SATREPs                    Ions
                                                                                    Rainy (34 Samples) Dry (40 samples)
laboratory and chemical laboratory of Institute of
                                                                   Ca2+             33%                34%
Technology of Cambodia (ITC).
                                                                   Mg2+             23%                20.5%
2.3. Analytical methods                                            Na++ K+          32%                30.5%
                                                                   No dominant      12%                15%
     To study on current status of water quality, three
                                                                   HCO3-            56%                75%
parameters such as pH, EC, and temperature were carried
                                                                   SO42-            20%                10%
out by using Box and Whisker plot while ion components             Cl-              15%                10%
were plotted in piper diagram [2] .                                No dominant      9%                 5%
     Instantly, to assess to drinking water this study has used                     Ca-HCO3            Ca-HCO3
the current data to compare with Cambodia Drinking Water           Water Type       Ca-Cl              Na-HCO3
Standard (DWS) by Ministry of Industry, Mining and
                                                                  3.3. Suitability in drinking and irrigation purpose
Energies and World Health Organization [3] [4] . The total
hardness (TH) was classified for domestic purpose based on            The results in Table 2 showed that EC, TDS, pH, K, Fe,
Environmental Protection Agency (1976) [5] . In terms of          and Mn are slightly out of the standard range for both
irrigation purpose, sodium adsorption ratio (SAR), residue        seasons except for Fe in the dry season. The pH is not
sodium carbonate (RSC), and sodium percentage (%Na)               desirable for drinking when smaller than 6.5. Fe within 50%
were calculated based on US salinity laboratory (USSL),           is detected more than the permissible limit (PL) of 0.3 mg/l
Food Agriculture Organization (FAO), and Wilcox (1948),           in the rainy period, while Mn also exceeded the PL more
respectively [6] -[8] .                                           than 40% in both seasons. K+ has reached more than a
                                                                  thousand mg/l which surpassed the permissible limit of 12
                                                           190
mg/l. The highest K would be provoked by the leaching from              suitable for irrigation and agriculture. RSC greater than
fertilizer use in agriculture. Some ions in well water such             5meq/l are considered harmful to the growth of plants. In
NO3, SO4, HCO3 also found to overtake the PL with a few                 Fig. 4, it is revealed that most samples low in sodium and
sites but HCO3 is higher in the dry season. TH showed that              high in SAR. Most sample is located in C1S1, C2S1, and
3% in rainy and none in dry samples, which are considered               C3S1 which is suitable for all crops. The classification
as very hard (Table 4), exceeding 300 mg/l and may lead to              Wilcox 1948 is applied for the study as given in Fig. 5.
the incidence of parental mortality and some types of cancer.           Samples ranged from excellent to poor category. The graph
                                                                        showed that 4 samples in the rainy and 1 sample in the dry
     The RSC stretches from -2.8 to 12.6 in rainy season and
                                                                        are unsuitable while 6 samples from both seasons are still
-2.5 to 21.5 in dry season (Table 3). Based on RSC, water
                                                                        doubtful to unsuitable condition. However, samples are most
can be classified as safe, marginally suitable, and unsuitable.
                                                                        likely in good condition based on zone 1 and zone 2.
It is observed that RSC was 40% in dry season and was not
Table 2. Ranges of physicochemical parameters and their comparison with drinking water standards of MIME (2004) and
WHO (2017)
                     Range                                 Permissible limit (PL)       Percentage of sample exceeded PL
 Parameter
                     Rainy           Dry                   MME, WHO                     Rainy (n=34)           Dry (n=40)
 pH                  4.12-7.65       3.1-7.86              6.5-8.5                      41%                    40%
 EC                  36-3697         37-3032               1500                         21%                    15%
 TDS                 21-2209         23-1826               800                          21%                    18%
     +
 K                   0-1247          0-1108                12                           35%                    40%
 HCO3-               0-827           0-1396                600                          3%                     20%
         -
 NO3                 0-146           0-94                  50                           6%                     5%
 SO42-               0-503           0-296                 250                          6%                     5%
 Mn                  0-2.23          0-2.7                 0.1                          41%                    45%
 Fe                  0-23.92         0-0.31                0.3                          50%                    2.5%
*Ca, Mg, Na, Cl are all under permissible limit (PL), while Cu, Pb, Cr, Cd are under detected limit
Table 3. Classification of well water for agricultural purposes
                                                                 191
                               S4   30
                                                                                                                   Acknowledgement
                                    28                              EC                       SAR
                                                               C1: Low                  S1: Low
                                                                                                                       We are thankful to the Science and Technology Research
                                    26
                                    24
                                                               C2: Medium               S2: Medium                 Partnership for Sustainable Development (SATREPS), the
                               S3
                                    20
                                    18                                                  Rainy        Dry
                                                                                                                   International Cooperation Agency (JICA) for their financial
                                    16                                                                             support.
                              S2
                                    14
                                    12
                                    10
                                                                                                                   References
                                     8
                                     6
                                                                                                                   [1]   Sok, S. (2011). Groundwater Research in Cambodia.
                                     4                                                                                   https://archive.iges.or.jp/en/natural-
                              S1
                                     2                                                                                   resource/groundwater/PDF/activity20110602/S1-
                                     0                                                                                   3_Mr.Sok-Sophally_GW_Cambodia.pdf. Accessed
                                         0        500    1000    1500     2000   2500      3000     3500   4000
                                                                                                                         15 December 2020.
                                             C1   C2               C3                        C4                    [2]   Piper, A. M. (1944). A graphic procedure in the
                                                         Salinity Hazard EC (µS/cm)                                      geochemical interpretation of water‐analyses. Eos,
                                                                                                                         Transactions American Geophysical Union, 25(6),
            Fig. 4. Diagram rating of well water samples in relation                                                     914–928. https://doi.org/10.1029/TR025i006p00914
                      to salinity hazard and sodium hazard                                                         [3]   MIME. (2004). Kingdom of Cambodia Drinking
                                                                                                                         Water Quality Standards. In Drinking Water Quality
                                                                                                                         Standards.
                             100                                                                                   [4]   WHO. (2017). Guideline for Drinking-water Quality
                              90                                                                Rainy      Dry           (4th Editio). Word Health Organization.
                              80
                                                                                                                   [5]   EPA, U. S. E. P. A. (1976). Quality Criteria for Water.
       Percentage Na (%)
                              70                                                                  1 Excellent
                                                        (3)                                       2 Good                 Office of Water Planning and Standards.
                              60
                                         (1)                                                      3 Unsuitable     [6]   Ayers, R. S., & Westcot, D. W. (1976). Water Quality
                              50                                                     (5)          4 Doubtful             for Agriculture. FAO Irrigation and Drainage Paper
                              40                                        (4)                       5 High risk
                              30
                                                                                                                         29 Rev.1. In FAO Irrigation and Drainage Paper: Vol.
                              20
                                                         (2)                                                             No.29.
                              10                                                                                   [7]   USSL. (1954). Diagnosis and Improvement of Saline
                               0                                                                                         and Alkaline Soils. Soil Science Society of America
                                    0             1000        2000            3000         4000                          Journal,                    18(3),                348.
                                                          EC (µS/cm)                                                     https://doi.org/10.2136/sssaj1954.036159950018000
                                                                                                                         30032x
                             Fig. 5. Rating of well water samples on the basis of                                  [8]   Wilcox, L. V. (1948). Classification and use of
                                  electrical conductivity and percent sodium                                             irrigation water. Agricultural Circular No.
                                                                                                                         969,Washington, DC: USDA., 969, 1–19.
IV. Conclusion                                                                                                           https://doi.org/USDA
                                                                                                                   [9]   Appelo, C. A. . and D. P. (2005). Geochemistry,
    Higher values of EC, TDS, Mn, and Fe were observed in                                                                Groundwater and Pollution, 2nd Edition. In A.A.
rainy season while higher HCO3- was recorded in dry season.                                                              BALKEMA PUBLISHERS.
The groundwater quality of the study area had a principal
issue of low pH. The water should be treated before
consumption such concern parameters of HCO3, Fe, Mn, and
K while the salt water should be checked before irrigated on
soil or plants. For a better interpretation and clarification on
geochemistry controlling the well water quality, Saturation
Index (SI) may be needed and geological formation of the
well profile are one of the important information to be
suggested for the future study.
                                                                                                             192
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
          1
              Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia
                           Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
          2
              College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, China
                                          * Corresponding author: chhuon.k@itc.edu.kh
Abstract
    Prek Te river is a tributary of Mekong river in Cambodia. It is of particular importance to start studying on this river water
quality because of the concern on the impact due to the agricultural development, land cover change and water uses inside its
catchment. Water quality is needed to evaluate the physical, chemical, biological state. The Water Quality Index (WQI)
reduces the number of parameters to a simple expression in order to facilitate the interpretation of the data. This study is to
analysis Prek Te river water quality in 2018 and 2020 using WQI method to express the average quality of water at a time,
based on analytical values of physico-chemical parameters. The 13 water samples were collected to analyze physico-chemical
and heavy metal. In dry season of 2018, the WQI was 128 which made it fell into the moderate water quality, but the value
decreased to only 88 in wet season of 2020 which corresponded to the good quality. The high value of WQI is influenced
mainly from the high concentration of TDS and COD. TDS and COD were found to be higher with 153mg/L and 42mg/L
respectively, at the tributary of Prek Te. Cr, Fe, Mn, and Arsenic were found to be below the standard WHO. The pesticide is
also analyzed in this study at five sites but it turned out only detectable of some molecules. It can be concluded that, water in
Prek Te has good quality in wet season, while moderate quality in dry season. This study showed the current situation of water
quality in Prek Te which will be served as the baseline for future impact evaluation. It is recommended to do regularly
monitoring for identifying any changes and further study is needed.
Keywords: Prek Te, WQI, physico-chemical, heavy metal, pesticide
                                                           193
average quality of water at a time, based on analytical values   water for drinking purposes. The weight was assigned
of physico-chemical parameters.                                  between 1 and 5 based on their relative significance in the
II. Materials and Methods                                        water quality. The overall Water Quality Index was
                                                                 calculated by aggregating the quality rating (Q) with unit
2.1. Sampling sites
                                                                 weight (Wi):
     A tributary of Mekong River in Cambodia, Prek Te                                        ∑ 𝑞𝑖 𝑤𝑖
watershed (Fig 1) is situated in Kratie province which lays                   Overall WQI =                         (Eq.2)
                                                                                               ∑ 𝑤𝑖
from the eastern plateau in Mondulkiri province at an
altitude of around 900 m to the Mekong River flood plain
                                                                     Principle Component Analysis: The PCA is a
south of Kratie town at an elevation less than 14 m. Its basin
                                                                 descending dimension algorithm, in which the complex raw
area is 4,372 km2 which equals to 2.41% of Cambodia total
                                                                 data are replaced by several unrelated variables (Wu et al.
land area.
                                                                 2014). Only the components with the high eigenvalues (> 1)
                                                                 were extracted (Wang et al. 2017). All the results are
                                                                 conducted by using the analysis unit in software Origin
                                                                 2018 .
                                                           194
of 5 NTU.                                                         sites have only detectable some molecules.
    TDS is usually estimated by EC and there is a strong          Water Quality Index (WQI)
relationship between EC and TDS. The values found from                The WQI in 2018 and 2020 has been calculated which
the Prek Te water samples are all within the maximum limit        has been applied also for 5 sampling sites, along the Prek Te
of 800 mg/L. The TDS ranged from 35 mg/L at site 5 to 153         River. For computing WQI three steps are followed. In the
mg/L at site 4 during the end of dry season. These higher         first step, each of the 11 parameters (pH, EC, turbidity, TDS,
TDS values could be due to the natural weathering of certain      TS, Alkalinity, DO, COD, Fe, Cr, and Mn) has been assigned
sedimentary rocks or a certain anthropogenic source, e.g.,        a weight (wi) according to its relative importance in the
irrigation discharge, domestic effluents, and sewage effluent.    quality of water for drinking purposes. In 2018, except for
    TS, the TS concentrations in analyzed samples ranged          site 4, located on the upstream, the water quality status is
from 54 mg/L to 186 mg/L during the end of dry season in          poor quality (128.18), which are influenced by the nutrients,
2020. The TS values of all the water samples were far below       as a result of the agricultural practices, municipal and
the prescribed limit (500 mg/L) as per WHO standards.             industrial, manure from farms. In Fig. 2 the five study sites
    Alkalinity refers to the capability of water to resist        located in the Prek Te River, four study sites were rated as
changes in pH. Carbonate and bicarbonate alkali substances        good water (79.58-80.90).
represent the major forms of alkalinity in natural waters.
Alkalinity values for the water samples in the study ranged                                   300
                                                                                                                              Unsuitable for drinking (>300)
                                                                                                                                                                                             Water Quality Value
from 48.8 mg/L to 146.84 mg/L during the end of dry season.
According to the WHO standards for the river, the total                                       250
                                                                                                                                                      Very poor quality (200-300)
COD concentration was recorded at 42 mg/L at site 3 in the Good water quality (50-100)
middle stream, this is higher than the recommended WHO 50 Excellent quality (<50)
guidelines. In 2020, COD showed that 5 water quality                                                   Site 1          Site 2             Site 3              Site 4             Site 5
                                                                                                                                Sampling Location
monitoring sites reported COD values water samples
exacted the permissible limit of 5 mg/L.                          Fig. 2. Water quality classification based on WQI in 2018
Heavy Metals and Pesticides
    Fe, the values of all water samples below the permissible         An analysis of the 2020 water quality data, using the
limit of 0.3 mg/L, while the Chromium values below the            WQI showed that water quality of the Prek Te River is still
permissible limit of 0.05 mg/L.                                   of good quality, with all sites rated as either “good”. Of the
    Cyanide (CN-): In 2020, samples were analyzed for total       five sites located in the Prek Te Rive, poor water quality
cyanides at five sites. Results were all below the detection      (136.19) is noted at site 4 a tributary of Prek Te River.
limit. Unfortunately, the detection limit used in this study is                                                              Unsuitable for drinking (>300)                                        Water Quality Value
                                                                                                 300
higher than those values.
    As, the arsenic concentration in the five sampled water                                      250
                                                                                                                                     Very poor water quality (200-300)
may be correlated with the flow of the rivers and the location
                                                                                                  50
of industries.                                                                                                                            Excellent quality (<50)
    Pesticides: Pesticides are chemical compounds used to                                               Site 1            Site 2            Site 3               Site 4             Site 5
                                                                                                                                   Sampling Location
control or eradicate pests. At the end of wet seasons, the
analysis of 2018 showed that all 5 water quality monitoring       Fig. 3. Water quality classification based on WQI in 2020
                                                           195
Principal Component Analysis                                     quality. There were only a small number of measurements
   PC1 and PC2 was selected to plot in biplot in order to        exceeding the standard. The value of water quality
indicate the influence parameters link to the sample sites       parameters of heavy metals and Arsenic from all sample
(Fig 4). The result of biplot in 2018 shown that site 3, 4 and   collection in the end of dry season were also measure and
5 was influenced by PC1 under pH and DO while site 1 and         found to be well below the standard of WHO, while
2 were controlled by PC2, temperature and pH.                    Cyanides are not detected at 5 sampling sites. Therefore, the
                                                                 results of pesticides have only detectable some molecules.
                                                                 Furthermore, at site 4 a tributary of Prek Te River has
                                                                 strongly influenced by TS, temperature, TDS, pH, and DO.
                                                                 The overall WQI showed that, by including all physico-
                                                                 chemical parameters, all water samples were classified as
                                                                 good quality at the end of wet season while it has poor
                                                                 quality at end of dry season.
                                                                     Based from the results of this study, the water quality of
                                                                 Prek Te Rivers is generally still be considered as in good
                                                                 quality for domestic use.
                                                                 Acknowledgement
                                                                 This work is supported by Guangxi science and technolo
                                                                 gy program (Guike AD17195023;2018AD16013-04).
Fig. 4. Bivariate plot of the scores of PCs 1 and 2 in 2018      References
                                                                 [1]    Chhuon, K., Herrera, E., Nadaoka, K,. 2016.
   In 2020, result shown that there are 61.79% of total
                                                                        Application of Integrated Hydrologic and River
variance were captured by PC1 which strong influenced by
                                                                        Basin Management Modeling for the Optimal
temperature, TDS, TS, pH, and DO at site 4 and 5 in the
                                                                        Development of a Multi-Purpose Reservoir Project.
upstream while 24.43% was controlled by PC2, under
                                                                        Water Resources Management, 30(9), 3143–3157.
controlled by Fe at site 3 in the middle stream. The result of
                                                                        https://doi.org/10.1007/s11269-016-1336-4
biplot shown that site 1 and 2 was influenced by PC3 under
                                                                 [2]    Wang J, Liu G, Liu H, Lam, PKS,. 2017. Multivariate
Alkalinity and COD.
                                                                        statistical evaluation of dissolved trace elements and
                                                                        a water quality assessment in the middle reaches of
                                                                        Huaihe River, Anhui, China. Sci Total Environ
                                                                        583:421–431.
                                                                        https://doi.org/10.1016/j.scitotenv.2017.01.088
                                                                 [3]    Wu, J., Li, P., Qian, H., Duan, Z., Zhang, X., 2014.
                                                                        Using correlation and multivariate statistical analysis
                                                                        to identify hydrogeochemical processes affecting the
                                                                        major ion chemistry of waters: case study in Laoheba
                                                                        phosphorite mine in Sichuan China. Arab J Geosci
                                                                        7(10):3973–3982. https://doi.org/10.1007/s12517-
                                                                        013-1057-4
IV. Conclusion
   The water quality of Prek Te Rivers is still of good
                                                           196
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
    Nalin Hak1, Sombath Keo1, Chhovin Long1, Melvin Frick1, Sylvain Massuel2, Chanvorleak Phat3, Chhuon
            Kong4, Sambo Lun4, Sokly Siev3, Ratha Doung4, Jean-Philippe Venot2, Khy Eam Eang4*
1
  Master of UWE, Graduate School, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, Ph
                                                nom Penh, Cambodia
2
  UMR G-EAU, IRD, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, Phnom Penh, Cambodia
3
  Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Bo
                                            x 86, Phnom Penh, Cambodia
4
  Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Russian Federation B
                                     lvd., P.O. Box 86, Phnom Penh, Cambodia
                                 *Corresponding author: khyeam_eang@yahoo.com
Abstract
    This study aimed to make an investigation of the environmental state with regards to pesticides during the dry season after
10 years of intensive use in Koh Thum. Water from irrigation canal (Prek) and crop field and groundwater from mango farm
were sampled and pesticides were detected by semi-quantitative analysis using gas chromatography coupled to mass-
spectrometry (GC-MS). Firstly, 77 pesticides were inventoried through interviews of farmers and resellers in Kandal province.
Next, among the MS database of 451 molecules, 167 pesticides were detected including 21 which were part of the inventoried
pesticides from interviews while other 146 detected pesticides were off-list. The major types of biocides were insecticides
(33%), fungicides (25%) and herbicides (21%) and the major chemical families were carbamates (14%), organophosphates
(13%), triazoles (12%), organochlorines (11%), and pyrethroids (11%). Most of pesticides detected were moderately
hazardous (40%). Otherwise, 119 pesticides detected were not allowed in European Union while 10 were banned in Cambodia.
Chloroneb was detected in every water sample, with particularly high concentrations in groundwater (3.4010 ± 0.3644 μg/L)
and in water in the middle of Prek Touch (3.8314 ± 0.0826 μg/L). The Bassac river was the least contaminated (54 molecules),
the rice field water appeared to be the source of pesticides with 99 molecules, while 84 molecules were detected in the middle
of Prek Touch and 71 molecules were detected at Prek Chann drainage gate. Furthermore, 26 pesticides were common to
every compartment, suggesting water exchanges occurring between all compartments at the same time, probably during the
wet season. Almost twice as many pesticides were detected in the Preks than in the Bassac river and the Prek Touch West.
The pesticides would accumulate by remaining locally in the water near the treated locations while the flush effect would
remain limited. The unrehabilitated prek - the most hydrologically isolated - counted the greatest number of pesticides.
                                                          197
used in the developing countries [3]. The classification                         SATREPS lab in the Institute of Technology of Cambodia.
toxicity hazard of each pesticide based on the acute oral and
dermal toxicity followed the WHO: Ia (extremely
hazardous), Ib (highly hazardous), II (moderately hazardous)
and III (slightly hazardous) (see Table 1) [4].
    The use of pesticides in Cambodia started in the early 60s.
Between 2002 and 2012, the import of pesticides increased
by seventeen times, while most of pesticides in Cambodia
were imported from neigbour countries such as Vietnam,
Thailand and China since no factories were reported in
Cambodia. Based on the different survey studied, Cambodia
is the first range among other 13 countries with the highest
pesticide residue on vegetables, especially leaf of vegetables
from Kandal province [5]. On the other hand, many
Cambodian farmers have experienced health problem by
pesticide poisoning. Those chemicals have been extensively
misused in term of time, strength and way of use because of
insufficient understanding and the lack of relevant
instruction manual written in the native Khmer language [6].
                                                                                 Fig. 1. Prek system in Koh Thum district, Kandal province
Three main challenges to pesticide risk reduction were
identified such as the rapid spreading of pesticide trade                        2.2. Clean-up procedure
associated with a weak regulatory, the strong satisfaction of
pesticides associated with insufficient awareness of risks
and a lack of knowledge in the use of pesticides, and the non-
regular monitoring of pesticide risks [7].
Table 1. Classification of hazards followed by WHO (2006)
                                𝑳𝑫𝟓𝟎 for the rat (mg/Kg body weight)
        Class                        Oral                       Dermal
                           Solids           Liquids    Solids        Liquids
Ia Extremely Hazardous
Ib Highly hazardous
                             <5
                            5-50
                                          < 20
                                         20-200
                                                        < 10
                                                       10-100
                                                                      < 40
                                                                     40-400
                                                                                   Fig. 2. SPE: Sample Elution & PLS3 Sorbent Washing
II Moderately hazardous    50-500       200-2000      100-1000      400-4000
III Slightly hazardous    Over 500      Over 200      Over 1000     Over 4000        The samples were proceeded to purity by solid-phase
                                                                                 extraction (SPE) method following the method of Jinya,
II. Materials and Methods                                                        2013 [8]. Sodium phosphate buffer solution (pH=7, 1mol/L)
                                                                                 was added to the water samples and left for rest for 1h. The
2.1. Sampling sites
                                                                                 sorbents PLS3 and AC in their respective cartridges were
    The samples were collected on March 20th, 2020 in the                        activated by conditioning with 5 mL of dichloromethane, 5
Prek system (Prek Chan and Prek Touch) and Bassac river                          mL of acetone and two-time 5 mL of distilled water. The
which located in Koh Thum district, Kandal province (see                         samples were next passed through the cartridges at the flow
Fig.1). The Prek system is a canal perpendicular to the                          rate of about 15 mL/mn (see Fig.2). The cartridges were
Bassac river which was used for irrigating the crop located                      dried using nitrogen gas stream for 30 mn. After that, the
on the high bank of the alluvial plain called “Chamcar”. Five                    dried cartridges were disassembled and washed: 2 mL of
surfaces water and one groundwater sample were collected                         acetone followed by 5 mL of dichloromethane for the PLS3
in triplicate, which were as representative as possible in the                   cartridge, while both of the cartridge PLS3 and AC were
Prek system. 1000 mL of each sample were collected and                           washed with 5 mL of acetone. The mixed eluted solvent was
directly filtrated at the field site through 2μm multilayered                    collected and concentrated to approximately 1 mL, using
glass microfiber in order to remove debris and suspended                         nitrogen gas stream. Then, 10 mL of hexane were added to
materials, and then transported in iced box (around 4˚C) to                      the previous concentrated solution of 1 mL, to be then
                                                                           198
dehydrated by elution through sodium sulfate. The solution       predicted the structural formula of compounds, and
obtained was concentrated to 1 mL using nitrogen gas stream,     compared them using the MS database.
transferred into vial, and finally stored at -20 ˚C.
                                                                 2.5. Database software for simultaneous analysis
2.3. Calibration for Analysis
                                                                     GC-MS (GC-MSTQ8040, Shimadzu, Japan) is equipped
    A 1ppm mixture of standard pesticides containing about       with automated identification and quantification system
950 molecules similar to those to be detected was added to       with database. The database containing the mass spectra,
the samples. In addition, an external calibration was            retention time and calibration curves about 1000 substances
performed with 1ppm, 0.5ppm, 0.125ppm, 0.1ppm,                   included 451 pesticides compound, 194 compounds of CH,
0.05ppm, and 0.025ppm solution containing 24 target              150 compounds of CHO, 113 compound of CHN (O), 14
pesticides; to which was also added 10ppm mixture of             compounds of PPCPs, 12 compounds of CHS (NO), and 8
standard pesticides containing the other similar pesticides. A   compounds of CHP (NOS), which permitted simultaneous
quality analysis could be performed on the 24 target             identification and quantification of about 1000 plus
pesticides (see Table 1) while other pesticides could be         substances without the use of chemical standards.
detected in a semi-quantitative way.                             Maximizing the performance of this database required high-
                                                                 sensitivity instrument together with feature-rich quantitative
 Table 1. Target pesticides for an external calibration of
                                                                 soft.
 quantitative analysis
 No.            Name           No.           Name                2.6. Statistical analysis
  1       Methamidophos         13          Terbacil
                                                                     All essays were carried out three times and the results
  2          O,p’-DDT           14     Methyl-parathion          were expressed as mean (±) standard deviation. Single-
  3           Metalaxyl         15         Parathion
                                                                 factor analysis of variance (ANOVA) were performed to test
  4          Isoxathion         16        Pyroquilon
                                                                 the differences between mean concentrations of pesticides,
  5     Hexachlorobenzene       17         Anilofos
                                                                 for completely randomized design (CRD) using Excel Data
  6          Heptachlor         18       Azaconazole
                                                                 analysis software. A p-value < 0.05 was considered
  7             Aldrin          19         Isazofos              statistically significant for every sample location.
  8            Dieldrin         20       Mefenoxam
  9            Endrin           21        BHC/HCH                III. Results and Discussion
 10          Chlordane                    (α, β, γ, δ)           3.1. General profile of pesticides detected in Koh Thum
  11         Chloroneb          22          Lindane
                                                                    In the area of Koh Thum, 167 pesticides were detected,
 12           Atrazine          23        Malathion
                                                                 the majority of which were insecticides (32%), then
                                24       Triadimefon
                                                                 fungicides (25%) and herbicides (21%). Acaricides
2.4. Detection procedure                                         represented 14%, nematicides were 3% and a further
                                                                 minority included bactericides, molluscicides and plant
    The detection procedures were inspired from Jinya
                                                                 growth regulators. Carbamates (14%), organophosphate
(2013), and analyzed by using GC-MS device, model
                                                                 (13%), triazoles (12%), organochlorines (11%), and
TQ8040 series. The column was DB-5ms, whose length was
                                                                 pyrethroids (11%) were the most present chemical family of
30m, thickness 0.25μm and diameter 0.25mm. Injection was
                                                                 the pesticides detected. Furthermore, pesticides moderately
splitless with volume 1μL. The temperature of the oven
                                                                 hazardous were detected as predominant (40%), slightly
containing the column was maintained for 2mn at 40˚C, and
                                                                 hazardous (16%) and unlikely to present acute hazard (16%);
then reached 310˚C for 5mn at a speed of 8˚C/mn. The flow
                                                                 highly hazardous pesticides (8%) and extremely hazardous
rate of the carrier gas, ultra-pure helium, was 50mL/mn, and
                                                                 pesticides 1%.
the GC column flow rate was 1.23 mL/mn. The MS ion
source temperature was 200˚C, and the MS interface               3.2 Pesticide detection and its regulation
temperature was 300˚C. The detection threshold for every             Various pesticide molecules were detected in Koh Thum
compound was 0.0001 μg/L. The identification of pesticides       district through semi-quantitative analysis, including 119
was performed by the data treatment system and the               molecules either no approved or not registered in the
computer, which calculated the monoisotopic mass,                European Union, while 10 were banned in Cambodia since
                                                          199
                                        Table 2. Target pesticides detected at the sample location
                                                    Concentrations detected at the sample locations                                          EU water
                                                                                                                                             drinking
Pesticide                 Bassac                 D.Gate                Mango F             Middle PT            PT West          Rice F      standard
                          (μg/L)                PC(μg/L)                (μg/L)               (μg/L)              (μg/L)          (μg/L)        (μg/L)
Methamidophos                 -                     -                      -             0.0019±0.0032              -               -             0
O,P’-DDT                      -                     -               0.0029±0.0051               -                   -               -             0
Metalaxyl                     -                     -               0.2319±0.2452               -                   -               -            0.1
Isoxathion                    -                     -                      -                    -                   -        0.0055±0.0096        0
Dieldrin                      -              0.0278±0.0254                 -                    -                   -        0.0035±0.0061        0
Endrin                        -              0.0114±0.0197                 -                    -                   -               -             0
Chloroneb             0.9449±0.8682          1.1099±0.1544          3.4010±0.3644        3.8314±0.0826       0.4282±0.0491   0.5231±0.0061        0
Pyroquilon                    -                     -                      -             0.0018±0.0031              -               -             0
Azaconazole                   -                     -               0.0123±0.0213               -                   -        0.0011±0.0019        0
Mefenoxam                     -                     -               0.3121±0.3293               -                   -               -            0.1
Triadimefon           0.0283±0.0184          0.0176±0.0155          0.0158±0.0137        0.0197±0.0134       0.0331±0.0119   0.0225±0.0295        0
*Note: (-) is not detected, (0) not allowable to present in drinking water; D: Drainage; F: Farm; PT: Prek Touch
2012 [5]; namely, o,p’-DDT, isozathion, dieldrin and endrin.                    these pesticides 5 highly hazardous, 42 moderately
Moreover, 11 molecules were detected among the 24                               hazardous, 20 slightly hazardous and 14 molecules were not
targeted pesticides through a quantitative analysis. Among                      listed in WHO classification. Mango farm and Prek Touch
those 11 molecules, only 2 were authorized in European                          West were showed the similar number of pesticides (60 and
Union, namely metalaxyl and mefenofam, whose water                              57 pesticides). In Mango farm, no highly hazardous
drinking standards were 0.1 μg/L (see Table 2).                                 pesticides were detected while 1 extremely hazardous, 33
                                                                                moderately hazardous, and 7 slightly hazardous. Prek Touch
3.3. Pesticide distribution, its persistence and toxicity
                                                                                West the number of pesticides were detected including 4
    Among the 167 pesticides detected in the hydrological                       highly hazardous, 26 moderately hazardous, 8 slightly
compartments, Bassac river was observed to be                                   hazardous, and 8 pesticides of unknow toxicity. In Middle
contaminated with the least number of pesticides than the                       of Prek Touch, there were 84 number of pesticides were
Preks, the Prek Touch West, and the rice field. Most of                         detected including 1 extremely hazardous, 7 highly
pesticides detected in Bassac river were moderately                             hazardous, 41 moderately hazardous and 13 slightly
hazardous (22 molecules) followed by slightly hazardous                         hazardous and 6 molecules unknown toxicity. In addition,
(11 molecules), and 11 molecules of unknown toxicity. Rice                      71 pesticides were detected in the drainage gate of the Prek
field is the highest contaminated (99 pesticides), among of                     Chan including 4 highly hazardous, 30 moderately
Fig 3. Distribution of toxicity with regard to persistence of pesticides detected in the Koh Thum district
                                                                      200
hazardous, 9 slightly hazardous and 10 unknown toxicities        which was banned in Cambodia was detected in the
(see Fig. 3).                                                    groundwater, the rice field water, the water of the Prek Touch
                                                                 West and the water in middle of the Prek. Moreover, 26
3.4 Hydrological flows and pesticide movement
                                                                 pesticides were common to every hydrological compartment.
    Firstly, in dry season, potential exchanges may happen       A separation between Prek and Bassac river and the Prek
between the Bassac river and the rehabilitated Prek Chan         Touch West on the other hand seemed to emerge in the dry
since they shared 37 pesticides in common (52.1% of the          season. The surface water flow from the Bassac river
pesticides detected in Prek chan and 68.5% of the pesticides     connected to the Prek Touch West seemed to maintain a
detected in the Bassac river. At this stage, it was impossible   lower number of pesticides while these numbers tended to
to determine if the source of pesticide came from the prek,      build up in the Preks. Those conclusions should be
the river, or both of them. The presence of pesticide in Prek    confronted to analysis in raining season to confirm the
Chan could either come from the neighboring treated plots        pesticides transport during the flood period.
by excess irrigation return flow and by leakage drainage, or
come from exchange with groundwater. Secondly, we have           Acknowledgement
known that the water flow was very limited in Prek Chan.             We are thankful to the COSTEA project for the financial
Prek Touch was isolated from the Bassac and the Prek Touch       support under the management of Institut de Recherche pour
West. We could determine that the pesticide found in the         le Développement (IRD).
preks were mostly tied to the presence of pesticides in the
                                                                 References
surrounding treated plots in dry season. The detection of
pesticide in non-rehabilitated Prek Touch (84 pesticides)        [1] Mahmood, I., Imadi, S. R., Shazadi, K., Gul, A.,
more than in the rehabilitated Prek Chan (71 pesticides)             Hakeem, K. R. (2016). Effects of pesticides on
could be explained either by the spatial variability that            environment. In Plant, Soil and Microbes. Springer,
                                                                     Cham, 253-269.
would imply poor mixing of prek water or by limited
                                                                 [2] Uqab, B., Mudasir, S., Nazir, R. (2016). Review on
exchanges with the Bassac river and Prek Touch West for              bioremediation of pesticides. J Bioremed Biodeg, 7,
Prek Chan. Compare to the prek, the Bassac river and the             343.
Prek Touch West clearly showed lower and similar numbers         [3] Saravi, S. S. S., Shokrzadeh, M. (2011). Role of
of pesticides detected (54 and 57 pesticides). The Prek              pesticides in human life in the modern age: a review.
Touch west, running from north toward the south collected            Pesticides in the modern world-risks and benefits, 3-12.
water from the Bassac river through other preks upstream         [4] WHO-UNEP (2006). Sound management of pesticides
                                                                     and diagnosis and treatment of pesticide poisoning: a
and flow directly to the boeung. Compare to the
                                                                     resource tool. Geneva: Inter-organization Programme
groundwater 60 pesticide were detected and 41 pesticides             for the Sound Management of Chemicals.
were found in Prek Touch (48.8% of the pesticides detected       [5] FFTC Agricultural Policy Platform (FFTC-AP) (2015).
in Prek Touch and 68.3% of pesticides detected in the                Current Use of Pesticides in the Agricultural Products
groundwater). This would suggest possible exchanges even             of      Cambodia.      https://ap.fftc.org.tw/article/986.
in dry season with groundwater where pesticides could be             Accessed 25 December, 2020.
                                                                 [6] Matsukawa, M., Ito, K., Kawakita, K., Tanaka, T.
stored, but it was difficult to draw any conclusion with a
                                                                     (2016). Current status of pesticide use among rice
single groundwater sample.                                           farmers in Cambodia. Applied Entomology and
IV.    Conclusion                                                    Zoology, 51(4), 571-579.
                                                                 [7] Schreinemachers, P., Afari-Sefa, V., Heng, C. H., Dung,
   The result obtains from this study indicated that the three       P. T. M., Praneetvatakul, S., Srinivasan, R. (2015). Safe
major types of biocides were insecticides, fungicides and            and sustainable crop protection in Southeast Asia:
herbicides, and most of pesticides were moderately                   status, challenges and policy options. Environmental
                                                                     Science & Policy, 54, 357-366.
hazardous. The Bassac river was the least contaminated and
                                                                 [8] Jinya, D. (2012). Development of solid-phase
the least hazardous water in term of potency of toxicity.            extraction method for simultaneous analysis of semi-
However, the rice field appeared to be the source of pesticide       volatile organic compounds using a GC-MS database
application, which accumulated mostly in waters of the               system.       SHIMADZU            Technical       Report.
rehabilitated and non-rehabilitated Preks. The water in              https://www.shimadzu.com.cn/solution/green/pdf/jjfa/
middle Prek Touch was the most hazardous, while captafol             s19.pdf. Accessed 25 January, 2021.
                                                          201
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Assessment of Pesticide Residues in Surface Water and Fish from Chhnok Tru, Kampong
                                       Chhnang
  Chanvorleak Phat 1,2,*, Kearakvattey Kun 1, Voleak Pheap 1, Sereyvath Yoeun 1, Eden G. Mariquit 3, Winarto
                                       Kuriniawan 3 and Hirofumi Hinode 3
                  1
                  Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                       Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
     2
       Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                 Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                     3
                       School of Environment and Society, Tokyo Institute of Technology, Japan
                                * Corresponding author: phatchanvorleak@itc.edu.kh
Abstract
    Surface water from 5 different sites and 4 types of fish from the Cyprinidae family were collected from Chhnok Tru,
floating community of Tonle Sap Lake. Those samples were subjected to pesticide residues analysis using gas chromatography
mass spectrometry. Qualitative results showed that water samples were detected with fungicides fluquinconazole and
fenpropimorph. Insecticides such as lenacil and mevinphos were also found in some studied sites. For fish samples, two active
compounds of fungicides were detected in muscle part of fish from Cyprinidae family. Quantitative results could be drown
only from water samples as targeted compounds were not found in fish samples. Three fungicides including azaconazole,
chloroneb, and pyroquilon were detected with the concentrations of 16.46 µg/L in CT3, 0.28 µg/L in CT5, and 0.51 µg/L in
CT2, respectively. Four active compounds of insecticides were found in CT3 and CT5, which CT3 were detected with
chlordane and CT5 were contaminated with three compounds such as HCHs, isazofos, and parathion. The presences of these
pesticides in water and fish sample pose a high risk to human as well as to the lake environment.
Keywords: Pesticides, Chnhnok Tru, Tonle Sap Lake, Qualitative analysis, Quantitative analysis
                                                         202
countries.                                                      Water samples were then filtered using 0.45 μm fiber glass
    Scientific evidence is required to raise public awareness   filter (Whatman GMF 150) to remove suspended solids.
of the adverse effects of pesticides on all stakeholders,       Suspended solids retained by the filters were eluted with 5
including farmers and policy makers. However, there is          mL of acetone and 5 mL of dichloromethane to dissolve
limited information on pesticide contamination in Cambodia.     potentially adsorbed compounds. Filtered samples were
Therefore, this study aims to identify the presence of          subjected to extraction process by using solid-phase
commonly used pesticides and evaluate the levels of some        extraction method (SPE) as described by Jinya (2013).
banned pesticides in surface water and fish from Chhnok Tru,
Kampong Chhnang, Cambodia. Chhnok Tru is one of TSL's           2.3. Fish sample preparation
floating communities. With its unique characteristics, the           Fish muscles were then grind and freeze-dried. Five
majority of the village is submerged during the rainy season,   grams of freezed dry fish muscle in powder form was
while broad cultivated land is accessible during the dry        homogenized with 50 mL of distilled water and 100 mL of
season. This contributes to the abundance of rice and other     acetone/hexane mixture (50/50, v/v) was added to the
crop cultivation in this region, making it important to study   suspension and stirred for 15 min. After that, this mixture
on pesticide contamination levels from agriculture to water     was filtered with Whatman filter paper (pore size of 2 µm).
and aquasystem.                                                 Then, ten grams of sodium chloride and 1 mL of phosphate
                                                                buffer solution (1 mol/L, pH 7.0) were added into the
II. Materials and Methods                                       filtrated solution and stirred again for 10 min. After that, the
                                                                decanter was used to separate the layer of organic solvent
2.1. Sample collection
                                                                from fish fat part. Then, anhydrous sodium sulfate was used
    Surface water were collected in March 2020 from 5 site
                                                                to remove any remaining water and impurities from the
at Chhnok Tru community (Fig.1). Water samples were
                                                                solution. Lastly, the solution was applied to SPE following
stored in cleaned 1 L plastic bottles and transported to the
                                                                the method of Jinya (2013).
laboratory at Institute of Technology of Cambodia for
analysis.
                                                                2.4. GC-MS analysis
                                                                    The pesticide compounds were analyzed using gas
                                                                chromatograph and mass spectrometer (GC-MS), model
                                                                TQ8040 series (Shimadzu, Japan). The column used was
                                                                DB-5ms with the length of 30 m. One microliter of sample
                                                                was injected to GC-MS by auto injector using spitless mode.
                                                                After that, the column oven temperature was programmed
                                                                from 40 to 310°C by holding for 2 minutes at 40°C,
                                                                increased the temperature to 310°C with a rate of 8°C/min,
                                                                and then held for 5minutes. The carrier gas was ultra-pure
       Fig.1. Water sampling points at Chhnok Tru               helium at the total flow of 50 mL/min while the column flow
                                                                was 1.23 mL/min. The ion source temperature was 200°C
    Freshwater fish samples of the Cyprinidae family (Trey      and the temperature of the interface was 300°C. All
Chhkork (Cyclocheilichthys enoplos), Trey Chhpin                pesticides were both qualitatively and quantitatively
(Hypsibarbus suvattii spp), Trey Chrakaing (Puntioplites        analyzed by retention time and specific ions, and quantified
falcifer), and Trey Khmann (Hampala macrolepidota)) were        by the external standard method.
collected from fishermen at the various sites in Chhnok Tru,
Kompng Chhnang Province.                                        III. Results and Discussion
                                                         203
CT2, respectively (Table1). Fungicides have been greatly              Fish species
                                                                                                                       Fungicide
used for the control of pathogen fungi in crops; however, it                                              Biphenyl       Fluquinconazole
                                                                      Trey Chhkork (Cyclocheilic             -                   +
can exhibit undesirable effects on non-target plant-beneficial
                                                                      hthys enoplos)
microorganisms [8]. Besides, fenpropimorph has a very                 Trey Chhpin (Hypsibarbus               +                   -
negative impact on the plant root development which lead to           suvattii spp)
growth deduction in some cereal seedlings [8]. Insecticides           Trey Chrakaing (Puntioplit             +                   -
                                                                      es falcifer)
such as lenacil and mevinphos were also found in some                 Trey Khmann (Hampala m                 -                   +
studied sites (CT1 and CT2). Lenacil is an odorless                   acrolepidota)
herbicide employed for selective weed control. The
detection of this compound in water sample might be from             3.2. Quantitative analysis of pesticides
agricultural application and its solubility and stability in             Among 23 target pesticides (fungicides include
water [9].                                                           azaconazole, chloroneb, hexachlorobenzen, mefenoxam,
                                                                     metalaxyl, pyroquilon, and triadimefon; herbicides include
Table 1. Presences of pesticides in surface water from               anilofos, atrazine, and terbacil; insecticides include Aldrin,
Chhnok Tru                                                           chlordane, dieldrin, endrin, HCHs, heptachlor, isazofos,
                                                                     isoxathion, malathion, methamidophos, methyl parathion,
                                                                     o,p’-DDT, and parathion), seven active compounds were
  Category
                     Active
                                  CT1   CT2   CT3   CT4   CT5        detected in water sample from Chhnok Tru. CT5, which is
                   compounds
                                                                     surrounded by rice and crop field was the most contaminated
                Lenacil            -    +      -     -     -
                                                                     sites with four pesticide compounds (Table 3). Some banned
  Insecticide
                                                               204
 Chlordane         -       -       9.64±0.15    -        -               Pesticide use and self-reported symptoms of acute
 HCHs              -       -           -        -    0.50±0.03           pesticide poisoning among aquatic farmers in
 Isazofos          -       -           -        -    0.61±0.01
                                                                         phnom penh, cambodia. J Toxicol 2011:.
                                                                         https://doi.org/10.1155/2011/639814
 Parathion         -       -           -        -    0.36±0.00
                                                                   5.    Kapsi M, Tsoutsi C, Paschalidou A, Albanis T (2019)
                                                                         Environmental monitoring and risk assessment of
    The residues of pesticide in aquatic system can be from              pesticide residues in surface waters of the Louros
a historic or recently used around the study area. For our               River (N.W. Greece). Sci Total Environ 650:2188–
study, all of 23 target compounds were not detected in all of            2198.
fish samples include muscle, gill and inner part of the four             https://doi.org/10.1016/j.scitotenv.2018.09.185
                                                                   6.    Papadakis EN, Vryzas Z, Kotopoulou A, et al (2015)
fish species in Cyprinidae family. Base on the previous
                                                                         A pesticide monitoring survey in rivers and lakes of
studies, most of organochlorine compounds were detected in               northern Greece and its human and ecotoxicological
fish, where the agriculture area using large amount of                   risk assessment. Ecotoxicol Environ Saf 116:1–9.
pesticides around the lake or river. Most of the compounds               https://doi.org/10.1016/j.ecoenv.2015.02.033
were detected in a low or high level depend on the                 7.    Jinya D (2013) Report Development of Solid-Phase
environment they lived [13].                                             Extraction Method for Simultaneous Analysis of
                                                                         Semi-Volatile Organic Compounds Using a GC-MS
                                                                         Database System. Shimadzu Tech Rep 1–8
IV. Conclusion                                                     8.    Campagnac E, Fontaine J, Sahraoui AL-H, et al
                                                                         (2008) Differential effects of fenpropimorph and
    In this study, surface water samples from 5 sites and four
                                                                         fenhexamid, two sterol biosynthesis inhibitor
fish species were collected from Chhnok Tru floating                     fungicides, on arbuscular mycorrhizal development
community and evaluated the levels pesticide contamination.              and sterol metabolism in carrot roots.
The results showed that 80% of water samples and 100% of                 Phytochemistry                        69:2912–2919.
fish samples were contaminated with at least one of pesticide            https://doi.org/10.1016/j.phytochem.2008.09.009
compound. Among 23 target compounds, azaconazole,                  9.    Worden AN, Noel PRB, Mawdesley-Thomas LE, et
chloroneb, pyroquilon, chlordane, HCHs, isazofos, and                    al (1974) Feeding studies on lenacil in the rat and
                                                                         dog. Toxicol Appl Pharmacol 27:215–224.
parathion were detected in surface water from Chhnok Tru
                                                                         https://doi.org/10.1016/0041-008X(74)90192-6
area. Routine monitoring studies should be conducted to            10.   Kampire E, Rubidge G, Adams JB (2015)
raise public awareness of pesticide contamination and to                 Distribution of polychlorinated biphenyl residues in
prevent the worsening of pesticide pollution issues.                     sediments      and     blue      mussels    (Mytilus
                                                                         galloprovincialis) from Port Elizabeth Harbour,
Acknowledgement                                                          South Africa. Mar Pollut Bull 91:173–179.
                                                                         https://doi.org/10.1016/j.marpolbul.2014.12.008
   This research was financially supported by SATREPS -            11.   Singh K, Nong A, Feeley M, Chan HM (2019)
JST/JICA: grant-number JPMJSA1503 - Establishment of                     Development of Biomonitoring Equivalents for
Environmental Conservation Platform of Tonle Sap Lake.                   chlordane and toxaphene with application to the
                                                                         general Canadian population. Regul Toxicol
                                                                         Pharmacol                              106:262–269.
References                                                               https://doi.org/10.1016/j.yrtph.2019.05.015
                                                                   12.   WHO (1993) WHO-Guidelines for Drinking Water
1.      Keskinen M (2006) The Lake with Floating Villages:               Quality,              Chemical              Aspects.
        Socio-economic Analysis of the Tonle Sap Lake. Int               https://www.who.int/water_sanitation_health/dwq/
        J      Water      Resour      Dev      22:463–480.               GDW8rev1and2.pdf
        https://doi.org/10.1080/07900620500482568                  13.   Kafilzadeh F (2015) Assessment of Organochlorine
2.      Lin Z, Qi J (2017) Hydro-dam – A nature-based                    Pesticide Residues in Water, Sediments and Fish
        solution or an ecological problem: The fate of the               from Lake Tashk, Iran. Achiev Life Sci 9:107–111.
        Tonlé Sap Lake. Environ Res 158:24–32.                           https://doi.org/10.1016/j.als.2015.12.003
        https://doi.org/10.1016/j.envres.2017.05.016
3.      FAO (2014) Country fact sheet on food and
        agriculture policy trends. Fapda 6
4.      Jensen HK, Konradsen F, Jørs E, et al (2011)
                                                             205
Session 4: Food Technology and Microbiology
     The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                        Jointly held with
             th
       The 5 International Symposium on Conservation and Management of Tropical Lakes
                        “Insights and Challenges toward Achieving SDGs”
                    1
                   Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                       Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
      2
        Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                  Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                         * Corresponding author: rtan@itc.edu.kh
Abstract
          Fermented young mango is one of the most famous mango based products in Cambodia and it is
particularly popular among teenagers. However, even if this were to be the case, we observe that the quality of this
product is considerably low and has a short shelf-life. The objectives of this study were to produce a fermented
young mango that is well-received by consumers and study on the effect of two food preservation methods on its
shelf life. The optimization of young mango fermentation in this study focused on the mango’s preparation (mango
fermented as whole fruit and peeled fruit), blanching temperature and time (65 oC for 15 min and 70 oC for 10
min), fermentation conditions (ferment at room temperature and 4 oC), salt concentrations (2% and 5%) and sugar
concentrations (20 oBrix, 23 oBrix, and 25 oBrix). The sensory evaluation was conducted in each step except for
blanching temperature and time and the duration of soaking in cold water by using 9 points hedonic scale. For the
study of shelf life, the vacuum packaging was utilized and two food preservatives (sodium benzoate and sodium
metabisulfite) were used individually on the fermented young mango that was fermented after one day at the
concentration of 0.1%. During the three weeks’ observation on its shelf life, it was revealed that the sample treated
with sodium benzoate stored at 4 oC was the best condition as in the final week of observation, it attained the
highest pH (2.41±0.04), lowest acidity (1.35±0.00), lowest total soluble solids (13.55±0.07), lowest salt content
(0.59±0.00) and yeast and mold was not detected in the sample.
Keywords: Sodium benzoate, Sodium metabisulfite, Lactic acid bacteria, Titratable acidity
                                                            206
concentration to help the lactic acid fermentation. Since the   method, 0.1 ml of the sample was dropped onto the solid
sugar is the main ingredient and raw mangoes were utilized,     media then using the spreader to gently and evenly distribute
the prepared mangoes taste sweet and sour and it also           the sample. Finally, bring it to incubate 5 days at 25-30 ºC.
provides energy [2]. Nevertheless, due to it being a low-salt   Yeasts will grow creamy to white colonies and mold will
fermentation, it has a lot of risks in contaminating by other   grow as filamentous colonies, black spores.
spoilage bacteria which end up with a short shelf-life. That
is why the current study was conducted to find a food                     𝑵=
                                                                                        ∑𝑪
                                                                                                            (E.q. 2.2)
preservation method to prolong its shelf-life.                                 𝑽[(𝟏×𝒏𝟏 )+(𝟎.𝟏×𝒏𝟐 )]×𝒅
              %𝑻𝑨 =
                      𝑽𝒔 ×𝑵×𝟗𝟎×𝟏𝟎𝟎
                                       (E.q. 2.1)                  Fig. 1. Sensory evaluation of mango’s preparation
                        𝑽×𝟏𝟎𝟎𝟎
                                                          207
3.2. Effect of sodium benzoate, sodium metabisulfite and               stored at 4 °C which varied from 13.7±0.14 to 12.6±0.14.
vacuum packaging on pH                                                 During the fermentation, LAB converted sugars into lactic
                                                                       acid which caused a decline in TSS [3] and at the same time,
                  2.7                                                  there were also three simultaneous mass transfer phenomena
                                                                       occurred; water flows from the product to the solution, a
                                                                       solute transfer from the solution to the product and a minor
     pH
                                                                                TA (%)
                                stored in both conditions                                  1.6
                                                                208
    Salt decreased over time for every sample regardless of        IV. Conclusion
with or without the addition of preservatives. For both
conditions and no significant difference was found for each            In the young mango’s fermentation, it was found that
sample in different storage conditions. Salt allowed water         fermented mango tasted better if it was to be peeled and cut
and needed sugars to be pulled from the product [4]. For           into thin strips and the ideal blanching temperature and time
vacuum packaging, fermented young mango stored at room             was at 65 °C for 10 min. After the mild-heating process,
temperature is no longer safe to be consumed after 3 days-         bringing it to ferment for one day. According to the sensory
storage as it exhibited an unpleasant appearance and odor          evaluation, it was discovered that young mango fermented
this spoilage was caused by excess lactic acid fermentation        at room temperature worked better than the fermentation
and other spoilage bacteria present due to the fermented           process at 4°C as it had a more desirable odor, texture, and
young mango’s high sugar content and low salt                      taste. Besides, young mango fermented with a salt
concentration which is a favorable condition for them to           concentration of 2% and sugar content of 23 °Brix received
grow [4].                                                          a positive response from the panelists. Regarding the study
                                                                   of shelf life, in consideration of the slower fermentation
3.6. Effect of sodium benzoate, sodium metabisulfite and           process, fermented young mango added with sodium
vacuum packaging on yeast and mold                                 benzoate stored at 4 °C was the best condition as it had
                                                                   highest pH and lowest acidity among the studied conditions.
                     15                                            For further study, it is recommended to do a more detailed
        Log CFU/ml
                                                            209
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
The effect of blanching on curcumin content and chemical composition of essential oils of
                            dried Turmeric (Curcuma longa)
                   1
                       Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                           Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                                       * in@itc.edu.kh
Abstract
Turmeric is normally dried and grind into powder prior to storage and usage, and the conditions of blanching is one of
important factors that can affect on the quality of dried turmeric. The objective of this study was to observe the impact of
blanching on total phenolic content (TPC), antioxidant activity, curcuminoids content and essential oil composition of dried
turmeric. Fresh turmeric rhizome was processed with blanching in boiling water for 0, 15, 30 and 45 minutes before oven
dried at 55°C for 16 hours. The curcuminoids content and essential oil composition was determined by HPLC and GC-MS,
respectively. The highest content of TPC (107.62 ± 6.46 mg GAE/g dried turmeric) and the total of antioxidants activity (9.58
± 0.11 mg VCE/g dried turmeric) were found in the sample blanching for 30 minutes. The curcumin content of all blanching
condition was ranged from 1.78 ± 0.12% to 2.20 ± 0.07% for bisdemethoxycurcumin, 1.00 ± 0.08% to 1.24 ± 0.05% for
demethoxycurcumin and 2.24 ± 0.06% to 2.62 ± 0.14% for curcumin. The essential oil was ranged from 4.44 ± 0.55% to 4.96
± 0.30% and the non-blanching sample and blanching sample for 30 minutes (37 and 31 compounds of essential oils,
respectively) could detect more compounds than the other blanching conditions. Among detected compounds in essential oil,
there were three main compounds, Ar-turmerone (33.37 ± 0.08%), Turmerone (32.27 ± 0.11%) and Curlone (20.66 ± 0.15%)
in the essential oils of turmeric. Blanching turmeric before drying did affected on the quality of turmeric, especially curcumin
content and essential oil yield and essential oil composition.
                                                          210
blanching process have both positive and negative effect on     2.3.3. Curcumin analysis by HPLC
the quality and the content of those bioactive compounds,
                                                                    HPLC was used for quantification the curcuminoids
therefore the studying of the effect of blanching on quality
                                                                from turmeric and the method was modified from Hirun et
of turmeric with different blanching condition of dried
                                                                al.[4]. A Shimadzu LC-20AT HPLC system connected to a
turmeric have been investigated.
                                                                Shimadzu SPD-M20A UV-VIS detector and apHera C18 –
                                                                Polymer (25cm x 4.6mm,5µm) column was use in this
II. Materials and Methods
                                                                experiment. (60:40 of acetonitrile and acidified water with
2.1. Sample preparation                                         acetic acid 1%) were used as mobile phase with 0.7ml/min
                                                                and 25min, 5µL of curcuminoids were detected at 425nm.
     Fresh turmeric rhizome was obtained from a farm at
Kampong Cham province, Cambodia. After blanching in             2.3.4. Essential oil and composition analysis
boiling water for 15, 30 and 45 minutes and then transf-
erred to oven, the samples were packed with aluminum                Essential Oils were extracted from dried turmeric
paper and stored in freezer at -20°C for further analysis.      rhizomes by hydro-distillation in Clevenger’s type apparatus
                                                                and the results were expressed as % of Essential Oils yield
2.2. Materials                                                  (AOAC 2012).
                                                                    The method was modified from Tran et al.[9] for GCMS
     Folin-Ciocalteu (Sigma, USA), gallic acid (Himedia.
                                                                analysis. In chromatographic system, the polar phase
India) and sodium bicarbonate (Merck, Germany) are
                                                                capillary column, TG-5MS (acid-deactivated polyethylene
phenolic’s reagents. Ascorbic acid(Merck,Germany) and
                                                                glycol) with the size of 30 m length × 0.25 mm internal
DPPH ( sigma, USA ) were used for Total antioxidant
                                                                diameter × 0.25µm film thickness (Thermo Fisher Scientific,
activity analysis. Curcumin, bisdemethoxycurcumin and
                                                                USA) were performed on a GC-2010 Plus chromatograph
demethoxycurcumin (sigma, USA, purity ≥ 98%) were
                                                                (Shimadzu, Japan) with AOC-20i autosampler (Shimadzu,
 use as standard of curcuminoids analysis. Acetonitrile
                                                                Japan). GC-MS were operated under the following
(Merck, Germany), acetic acid (Sigma,USA) and water
                                                                conditions : Carried gas He; flow rate 1.0ml/min; split 1:50,
grade (Merck, USA) were used for HPLC analysis of
                                                                injection volume 1.0 µl; injection temperature 250°C; oven
curcuminoids. Methanol (Merck, Germany) was used as
                                                                temperature progress included an initial hold at 50°C for 2
solvent for extraction and dilution in this experiment.
                                                                min, a rise to 80°C at 2°C/min, a rise to 150°C at 5°C/min,
                                                                a rise to 200°C at 10°C/min and a rise to 300°C at 20°C/min
2.3. Analytical methods
                                                                for 5 min. Total running time is 46 min.
2.3.1. Total phenolic content
                                                                III. Results and Discussion
    The determination of Total phenolic compounds was
done by followed Wijaya, [10] with slightly modification        3.1. Total phenolic content of the extract
by using Folin-ciocalteu assay. The mixture was measured
                                                                     Table.1 were presented the total phenolic of dried
with UV-Vis spectrophotometer at 765 nm. Result was
                                                                turmeric. The highest value of total phenolic content was
expressed as mg gallic acid equivalent/g of dried turme-
                                                                recorded in dried turmeric at 55°C with blanching 30
ric (mgGAE/gDT).
                                                                minutes. Moreover, the results shown a different number but
                                                                not significantly different between the results of TPC for
2.3.2. Antioxidants activity of the extracts
                                                                these 4 conditions in this study (p>0.05). Bamidele et al.[1]
    The radical scavenging activity of the extracted turmeric   stated that there might be some increasing of total phenolic
was determined by using the DPPH free radical activity (2,2-    content while increasing the blanching time. The increasing
diphenyl-1picrylhydrazyl) according to Choi et al., [3]. The    in the total phenolic content were attributed to the reduction
mixture of reagents and sample was then measured with the       of enzyme-mediated polyphenol degradation (complete
absorbance 517nm by using the spectrophotometer. The            inactivation of native polyphenol oxidase) and might due to
result was as expressed mg VCE/g DT.                            the release of bound phenolic acids from the breakdown of
                                                                cellular constituents of cell wall.
                                                         211
3.2. Antioxidant activity of the extract                          revealed the significantly different among non-blanching
                                                                  and blanching condition of bisdemethoxycurcumin and
    Antioxidant activities of dried turmeric in this study have
                                                                  demethoxycurcumin in dried turmeric. From the results of
shown a different number (Table 1.) but there are not
                                                                  this current study, it could be indicated that blanching has
significantly different (p>0.05) among the studied condition.
                                                                  affected on the amount of bisdemethoxycurcumin and
Not far from total phenolic content, 30 minutes was a good
                                                                  demethoxycurcumin as it decreased while the blanching
condition among 3 blanching condition which could remain
                                                                  time increased to 45 minutes. Non-blanching condition
higher of antioxidants activity. This meant that blanching
                                                                  could remain the high value of curcuminoids and blanching
process could prevent the major loss of antioxidant activity,
                                                                  15 to 30 minutes could preserve the curcuminoids with
but it should be performed with the minimal heat treatment.
                                                                  higher amount if compared to blanching 45 minutes.
The other publication has said that, it is possible to believe
that total phenolic group are highly responsible for
                                                                  3.4. Essential oils of dried turmeric rhizomes and its
antioxidants activity of plants, that is why both of them have
                                                                     composition
strongly correlation. [6].
    Table 1. Total phenolic content and antioxidant activity          The highest value of essential oil from turmeric was
of the extract from dried turmeric                                found in dried turmeric at 55°C with blanching 30 minutes
                                                                  (4.96 ± 0.30 %) while the lowest one was found in blanching
                       TPC              Antioxidant               45 minutes condition (4.04 ± 0.05 %). The result of these 4
   Sample         (mg GAE/g DT)           activity                conditions showed in Table 3. was not significantly different
                                       (mgVCE/g DT)               (p value > 0.05).
   NB               105.47±5.37a         9.60±0.18a
                                a
   B15               93.42±4.53          9.44±0.08a                        Table 3. Percentage of essential oils yield
                                 a
   B30              107.62±6.46          9.58±0.11a
   B45               96.28±5.35a         9.37±0.18a                            Condition                % yield of EOs
Values are presented as mean (n=3). Means with different                      NB                        4.82 ± 0.25a
superscripts alphabets in the same column are significantly                   B15                       4.84 ± 0.53a
different (p<0.05).                                                           B30                       4.96 ± 0.30a
                                                                              B45                       4.44 ± 0.55a
3.3. Curcuminoids content by HPLC                                 Mean with different small letters (a,b) in the same column
    Table2. Curcuminoids content in dried turmeric                are significantly different.. Number of replicates = 2
rhizomes
                                                                      A studying has done on the seed and plants, and it has
Sample      Curcumin       Bisdemethoxy        Demethoxy-         been claimed that blanching the oil seeds could be a
              (%)               -curcumin         curcumin        promising technique to improve the yield and quality of the
                                  (%)              (%)            oil. It is an inexpensive technique that disintegrates the
  NB       2.62 ± 0.14a      2.20 ± 0.07b      1.24 ± 0.05b       seed’s cell walls and increases the extractability of the
  B15      2.24 ± 0.06a      1.89 ± 0.13a      1.03 ± 0.01a       intracellular material and the extraction method could be the
  B30      2.33 ± 0.20 a
                             1.90 ± 0.03 a
                                               1.05 ± 0.07a       most effect factor of essential yield [5]. Link with this
  B45      2.25 ± 0.24 a
                             1.78 ± 0.12 a
                                               1.00 ± 0.08a       result, blanching 30 minutes has been noticed as the
Mean with different small letters (a-b) in the same               optimum condition which could maintain the essential oil
column are significantly different at p<0.05. Number of           with higher amount if compared to other studied conditions.
replicated = 3.                                                   Around 46 compounds were detected in turmeric oil for this
                                                                  study among 4 conditions, and the similarity of the
   The result was showed that the curcumin, bisdemethoxy-         compounds were compared with compound library NIST11s
curcumin and demethoxycurcumin was the highest in non-            which percentage was higher than 90%. Table 4 only shows
blanching condition and dried at 55°C while the lowest one        the main compounds in dried turmeric oil with 4 condition
was found in blanching 45 minutes (Table. 2). The result          of studying.
                                                           212
 Table 4. Percentage of main compounds of essential oils          References
                            yield                                 [1]    Bamidele, O., Fasogbon, M., Adebowale, O., Ade
                                                                         yanju, A., 2017. Effect of blanching time on total
                                                                         Phenolic content. Current Journal of Applied Scie
                                                                         nce and Technology. 24, 1–8.
                                                                  [2]    Borah, A., Hazarika, K., Khayer, S.M., 2015. Dr
                                                                         ying kinetics of whole and sliced turmeric rhizom
                                                                         e in a solar conduction dryer. Information Process
                                                                         ing in Agriculture. 2, 85–92.
                                                                  [3]    Choi, Y., Ban, I., Lee, H., Baik, M.Y., Kim, W.,
                                                                         2019. Puffing as a novel process to enhance the a
                                                                         ntioxidant and anti-inflammatory properties of Cu
                                                                         rcuma longa L. (turmeric). Antioxidants MDPI. 8,
RI (Cal): Retention Index, identify based on the calculation             2–4.
of RI value which relative to C7-C31n-alkanes on TG-5MS           [4]    Hirun, S., Utamaang, N., Roach, P.D., 2014. Tur
Column, % are given by the mean of two determinations. (-)               meric (Curcuma longa L.) drying: an optimization
None detected and not found.                                              approach using microwave-vacuum drying. Journ
    The differences number of compositions may due to                    al of Food Science and Technology. 51, 2127 – 2
some factors such as method of blanching and parameters                  133.
that are characteristic of the product subjected to blanching.    [5]    Kaseka, U.L.O., 2006. Physicochemical attributes.
For blanching, in some case of formation new compounds
                                                                         Bioactive Compounds. 6, 234–289.
after blanching or cooking process has been recorded
probably because of oxidation reactions, hydrolysis of            [6]    Oboh, G., 2005. Effect of blanching on the antiox
glycosylated forms, or the release of compounds by the                   idant properties of some tropical green leafy vege
rupture of cell walls [8].                                               tables. LWT - Food Science and Technology. 38,
                                                                         513–517.
IV. Conclusion                                                    [7]    Osorio-Tobón, J.F., Carvalho, P.I.N., Barbero, G.F.
                                                                         ,Nogueira, G.C., Rostagno, M.A., Meireles, M.A.
    The study on determination of bioactive compounds in                 D.A., 2016. Fast analysis of curcuminoids from t
dried turmeric rhizomes from Kampong Cham province                       urmeric (Curcuma longa L.) by high-performance
with different conditions of blanching (NB, B15, B30 and                 liquid chromatography using a fused-core column.
B45) prior to oven drying at 55°C has been investigated.                 Food Chemistry. 200, 167 – 174.
Blanching turmeric before drying did affected on the quality      [8]    Ratseewo, J., Tangkhawanit, E., Meeso, N., Kaew
of turmeric, specially curcumin content and essential oil                seejan, N., Siriamornpun, S., 2016. Changes in an
composition. Among 3 blanching conditions, dried turmeric                tioxidant properties and volatile compounds of kaf
with blanching 30 minutes is the optimum condition which                 fir lime leaf as affected by cooking process. Inter
could preserve yield of crude extracts, total phenolic content,          national Food Research Journal. 23(1), 188–196.
antioxidants activity, yield of essential oils and its            [9]    Tran, T.H., Ha, L.K., Nguyen, D.C., Dao, T.P., N
compositions and curcuminoids content close to non-                      han, L.T.H., Nguyen, D.H., Nguyen, T.D., Vo, D.
blanching condition.                                                     V.N., Tran, Q.T., Bach, L.G., 2019. The study on
                                                                         extraction process in essential oils of black peppe
Acknowledgement                                                          r (Piper nigrum L.) seeds harvested in Gia Lai Pr
    Thank to my advisor Dr. IN Sokneang for all the                      ovince, Vietnam. Processes. 7(2), 56.
supporting and thankful to the world bank (HEIP Project) for      [10]   Wijaya, C., 2018. Optimization of Extraction time
their financial support.                                                 and temperature for Java tea. Food and Nutrition
                                                                         Open Access. 2, 1-8.
                                                           213
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Production of White Pepper from Ripe Pepper Berries (Piper nigrum L.)
                  1
                      Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                          Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                                      * in@itc.edu.kh
Abstract
    White pepper (Piper nigrum L.) is commonly produced from ripe pepper berries by removing the outer skin before drying.
This spice is preferred using by consumers due to its light color, milder flavour and pungency. White pepper exists in the
market as the whole and ground form. It is commonly used in food products such as sauces, soups, salad dressing and
mayonnaise. The main purpose of this study is to determine the suitable conditions for white pepper production from ripe
pepper berries. The study was conducted in different blanching times (0, 1, 3, and 5 min), soaking in water for 24 hours and
drying at 65ºC for 16 hours. Drying kinetic, color measurement and bioactive compounds including total phenolic compound,
total antioxidant capacity, essential oils and an alkaloid (piperine) content were evaluated. According to the results, soaking
at 24 hours within non blanching and drying at 65°C for 12 hours, was considered as a suitable condition for white pepper
production However, total phenolic content and total antioxidant capacity decreased in overall for white pepper after
processing due to the skin removed while the piperine content and total essential oil remained stable.
Keywords: Blanching, color, Piper nigrum L., piperine and white pepper
                                                         214
were washed with distilled water thrice to remove the
                                                                   The effect of pretreatment and soaking on drying kinetic
foreign matters. Then, the ripe berries were pretreated in
                                                               of white pepper produced from ripe pepper berries in
boiling water for 1, 3, and 5 min and soaked for 24 hours.
                                                               different pretreatment conditions (0, 1, 3, and 5 min) after
The soaking condition was also applied to non-boiling
                                                               drying at 65 ºC for 16 hours was shown in Fig. 1.
peppers. Next, they were rubbed manually to remove
                                                                   D65-NB, D65-1B, D65-3B, and D65-5B represented
pericarp and rested. Eventually, the white pepper was
                                                               pepper berries after drying at 65ºC for 16 hours at different
weighted prior drying.
                                                               pretreatment conditions including without pretreatment,
2.2. Drying kinetic                                            pretreatment for 1, 3 and 5 min, respectively.
    All the samples were oven-dried and compared to un-
                                                                                          40
pretreated pepper berries. The amount of 100 g of green                                                                             D65-NB1S
                                                                                                                                    D65-1B1S
pepper berries were oven-dried at the optimum condition of
                                                                                                                    Time (h)
extraction, the solvent was centrifuged (Rotofix 32A,
Germany) at 2000 rpm for 15 min. The clear supernatant was                                         Fig. 1. Drying kinetic of white pepper
poured out by putting in the evaporated flask and the              The drying kinetic indicated that drying from the early
extraction was repeated 3 times with 10 ml of methanol         stage to 8 hours, each moisture content went down similarly.
added. The rotary evaporator (IKA RV-10 Control, IKA,          After drying for 8 hours, pretreated sample for 5 min
Germany) was performed to evaporate the solvent until the      declined sharply and followed by pretreated sample for 1
sample was dried. The extract was diluted with 10 ml of        and 3 min, respectively. Meanwhile, the unpretreated sample
methanol and stored at -20ºC for further analysis.             moderately decreased. The results showed that the longer the
                                                               pretreatment in boiling water improved the drying kinetic of
2.4. Initial moisture content, color, and bioactive
                                                               white pepper. All moisture content of all conditions
    compounds analysis
                                                               remained stable after 12 hours drying. The pretreated sample
    The initial moisture content of peppercorns was            for 1, 3 and 5 min could reduce the moisture content to lower
determined by followed an analytical method AOAC               than 10-13 % for 8 hours, while the unpretreated sample was
(Association of Official Analytical Chemists) with a slight    about 15%. In general, the moisture content of white pepper
modification [4]. The fresh pepper was oven-dried at 105ºC     is around 12 to 13% [9]. Additionally, the yield of white
for 24 hours. Color of white pepper after peeling and drying   pepper obtained from ripe pepper ranged from 35 to 37%.
process was measured by using Chroma meter (CR-400,            The obtained results showed higher yield than the study Aziz
Konica Minolta). The total phenolic content (TPC) of the       et al. [3] that found the mature berries were able to yield
pepper was determined by the Folin-Ciocalteu’s reagent test    about 25-28 % of white pepper.
[5, 6]. The antioxidant activity was determined by using
                                                               3.2. Color
DPPH (2,2-diphenyl-1-picrylhydrazy) radical scavenging
capacity assay with the slight modifications [7]. Piperine        The result of the chromatic coordinates L*, a*, b*value of
content was detected by HPLC (High Performance Liquid          peeled pepper and pepper after drying at 65 ºC for 16 hours
Chromatography, Shimadzu, LC 2010A, Japan) coupled             were indicated in Fig. 2.
with UV detector [8].
                                                         215
                 RP represented fresh ripe pepper berries. PNB, P1B, P3B,                                                                  Table 2. The amount of TPC and TAC
              and P5B represented the peeled pepper berries in different
              pretreatment conditions including without pretreatment,                                                         Sample                     TPC                            TAC
              pretreatment for 1, 3 and 5 min, respectively.                                                                                    (mg    GAE/g DW)              (mg    Vit.CE/g DW)
                                                                                                                              RP                6.75   ± 0.45d                3.71   ± 0.26e
              50            Lightness(L*)
                                                            a
                                                                Red/Green(a*)                   Yellow/Blue(b*)
                                                                                                            a                 PNB               2.60   ± 0.27a,b,c            1.08   ± 0.15a
                    a
                                a             a
                                              a
              30
                                                                                                                              P5B               2.95                          2.06
                                                                                                                    b
                                                                                                                              D65-NB            1.96   ± 0.04a                1.17   ± 0.09a,b,c
                                                                    b                                   b
              20
                            a
                                        a,b           a,b
                                                                            a,b           a,b                                 D65-1B            1.90   ± 0.06a                1.23   ± 0.05a,b,c
                                                                                                                              D65-3B            2.14   ± 0.07a,b              1.17   ± 0.11a,b
              10
                        a           a             a                         a         a             a           a
                                                                                                                              D65-5B            1.91   ± 0.15a                1.70   ± 0.06c,d
                                                                a
                                                                                                                              The lowercase letter represents a significant different for each condition (p-
               0
                       B              B             B             B        B      B      B      B                             value < 0.05)
                     PN             P1            P3            P5      5-N    5-1    5-3    5-5
                                                                      D6     D6     D6     D6                                     The TPC of fresh ripe pepper berries was found the
                                                                Sample                                                        highest value compared to peeled pepper and dried white
                   Fig. 2. The color value (L*, a*, b*) of white pepper
                                                                                                                              pepper. The obtained results were similar to the study of
                  The lightness L* value was found 42.12 ± 2.44, 42.27 ±                                                      Aziz et al. [3] that found the TPC of white pepper contained
              0.12, 42.13 ± 0.68, and 44.37 ± 1.52 on peeled pepper berries                                                   around 3-6 mg GAE/g dried pepper. However, the TPC of
              PNB, P1B, P3B, and P5B, respectively. For dried pepper                                                          dried white pepper was not significantly different, but lower
              berries, lightness L* value was 39.56 ± 2.68, 37.60 ± 1.35,                                                     than peeled and fresh pepper. The loss of TPC was probably
              39.42 ± 2.21, and 38.77 ± 8.47 of D65-NB, D65-1B, D65-                                                          due to the fact that the phenolic compounds are mostly
              3B, and D65-5B, accordingly. The lightness L* value of all                                                      located in the mesocarp of pepper berries [11]. Therefore,
              the conditions of peeled pepper and dried pepper were                                                           the TPC lost while the skin of pepper berries was removed
              similar. The redness/greenness a* value of peeled pepper and                                                    to produce white pepper.
              dried pepper conditions were not significantly different.                                                           The TAC of ripe pepper berries (RP) was greater value
              Furthermore, the yellowness b* value of peeled pepper                                                           than peeled and dried pepper berries samples. Both TAC
              condition were increased slightly. For dried pepper berries,                                                    results of PNB and D65-NB were found similarly and lower
              the yellowness b* value of D65-NB and D65-1B showed                                                             than the one of peeled and dried pepper berries condition.
              lower than the one of D65-3B and D65-5B. It seems that                                                          For the dried pepper conditions, the TAC of D65-5B showed
              drying condition has no influence on the color of white                                                         higher compared to D65-NB, D65-1B, and D65-3B. It was
              pepper. According to Mey [10] found that drying below                                                           demonstrated that the pretreatment could be increased the
              70ºC did not affect the color of pepper because it could not                                                    amount of antioxidant capacity except drying slightly effects
              deactivate the enzymes responsible for browning reaction of                                                     on antioxidant capacity in white pepper after processing.
              color.                                                                                                              Comparison between TPC and TAC, there showed that
              3.3. Total phenolic compound and total antioxidant                                                              TPC and TAC had a positive strong correlation (0.929) in
                  capacity                                                                                                    white pepper. From the previous study, Eyenga et al. [12]
                                                                                                                              stated that all of the antioxidant activities were positively
                  The results of TPC and total antioxidant capacity (TAC)                                                     and strongly (> 90%) correlated with TPC. It makes sense
              were described in Table 2 and expressed as milligram of                                                         that antioxidant activity was declined if the TPC was
              gallic acid equivalent (GAE) in gram of dried pepper and                                                        decreased.
              milligram of vitamin C equivalent (Vit.CE) in gram of dried
              pepper.                                                                                                         3.4. Essential oil and piperine
                                                                                                                                 As shown in Table 3, the amount of essential oil and
                                                                                                                              piperine in pepper were expressed as percentage (% w/w).
                                                                                                                        216
Sample            Essential oil (%)      Piperine (%)               IV. Conclusion
RP                2.22   ±   0.08a       3.58   ±   0.24a               White pepper produced from ripe pepper berries with
PNB               2.21   ±   0.01a       5.37   ±   0.61b           soaking at 24 hours without pretreatment and drying at 65°C
P1B               3.02   ±   0.37a       5.68   ±   0.18b,c
                                                                    for 16 hours, was considered as a suitable condition for
P3B               3.11   ±   0.19a       6.08   ±   0.16b,c
P5B               2.86   ±   0.02a       5.39   ±   0.25b           white pepper production because it obtained higher
D65-NB            2.44   ±   0.38a       6.29   ±   0.15c           production yield, better color, high amount of bioactive
D65-1B            2.63   ±   0.16a       4.33   ±   0.18a           compounds. The total phenolic content and antioxidant
D65-3B            2.26   ±   0.41a       3.62   ±   0.35a           activity decreased after processing while the piperine
D65-5B            2.57   ±   0.19a       3.86   ±   0.26a           content and total essential oil remained stable.
                                                              217
       International Journal of Herbal Medicine IJHM. 1,
       6–9.
[9]    FAO, 2017. Standard for Black, White and Green
       Peppers Cxs 326-2017. Codex Alimentarius.
[10]   Mey, P., 2017. Effects of blanching temperature on
       quality of black pepper (Piper nigrum L.).
       International Journal of Environmental and Rural
       Development. 8, 1–6
[11]   Attokaran, M., 2011. Natural Food Flavors and
       Colorants. 1st ed. Blackwell, Wiley.
[12]   Eyenga, M., Youovop, J., Ngondi, J., Sindic, M.,
       2020. Temperature dependent studies on nutritional,
       total polyphenols, flavonoids content and antioxidant
       activities of Aframomum citratum (C.Pereira)
       K.Schum and Tetrapleura tetraptera (Schum. &
       Thonn.) Taub. fruits. Biotechnol. Agron. Soc. Environ.
       2020. 24, 207–220.
[13]   Weil, M., Shum Cheong Sing, A., Méot, J.M.,
       Boulanger, R., Bohuon, P., 2017. Impact of blanching,
       sweating and drying operations on pungency, aroma
       and color of Piper borbonense. Food Chemistry. 219,
       274–281.
[14]   Jayatunga, G.K., Amarasinghe, B.M.W.P.K., 2019.
       Drying kinetics, quality and moisture diffusivity of
       spouted bed dried Sri Lankan black pepper. Journal
       of Food Engineering. 263, 38–45.
                                                         218
The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                   Jointly held with
          th
    The 5 International Symposium on Conservation and Management of Tropical Lakes
                   “Insights and Challenges toward Achieving SDGs”
Development of Fermented Small Cucumbers with Different Tastes Using Isolated Lactic
                                   Acid Bacteria
                   1
                    Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                        Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
     2
         Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                   Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                         * Corresponding author: rtan@itc.edu.kh
Abstract
    Young cucumber is a popular vegetable in Cambodia and the preservation of this vegetable by fermentation is widely
practiced. However, the methodology of the fermentation process is not specified yet and the quantity of lactic acid bacteria
was not determined clearly and the sensory evaluation was also not remained the same. Regarding this, pure isolated LAB is
the best way to provide the best quality, prolong shelf life and the taste is remained stable. The objective of this study was
the development of fermented cucumber by using pure isolated LAB and shelf life determination by the addition of food
preservatives including sodium metabisulphite and sodium benzoate. To achieve this purpose, the brine solution of
fermented cucumbers was purchased in local markets in Phnom Penh and yogurt was bought from supermarket. Then,
culture and isolated in three times to purified it, and 10 pure isolated LAB were collected to fermented. For physicochemical
characteristics and sensory evaluation were analyzed after fermentation for two days. Acidity value was in range 0.22% to
0.32%, pH was 3.82 to 4.14, salt concentration was 1.62% to 1.75%, and TSS was 2.5 to 3-degree brix of LAB S1, S2 and
S3. They were collected to continue fermentation with the addition of sugar 4% and without sugar addition to choosing
fermentation by blanching at 75℃ in 5min. According to sensory evaluation and physicochemical analysis again, only one
pure isolated lactic acid bacteria was conducted on shelf life base on physicochemical value including total acidity 0.22%,
pH 4.14 and reducing sugar value 0.85% and sensory evaluation. To sum up, sodium metabisulphite is the best one to
preserve shelf life and provide good quality depends on physicochemical analysis and microbial count.
Keywords: Young cucumber, sodium metabisulphite, sodium benzoate, Total plate count, Yeasts, Molds
3.4. Food preservative influence on total soluble solid          Fig 5. Moisture content store in room temperature and 4oC
3.6. Result of yeast and mold count                            IV. Conclusion
    Figure 6 shown yeast mold count of brine solution with
                                                                   According to the result, LAB S1, S2, and S3 were
the addition of 2 different preservatives. It displayed that
                                                               chosen for studying the shelf life. To prolong the shelf life
sodium benzoate and sodium metabisulphite were declined
                                                               of cucumber fermentation, sodium benzoate and sodium
considerably from week 0 to week3 both in RT and 4℃. On
                                                               metabisulphite 0.1% were added into the brine solution
the other hand, control increased massively from week 0 to
                                                               compare to the control sample. Following this experiment,
week 3 not only in RT but also at 4℃. Control was the
                                                               it was found that sodium metabisulphite is the food
highest amount of yeast mold count both in RT and 4℃
                                                               preservative that can prolong longer shelf life than sodium
from week 1 to week 3 in respectively 4.39 log CFU/ml to
                                                               benzoate depending on data of physicochemical parameters
4.67 log CFU/ml and for 4℃, they were 4.18 log CFU/ml
                                                               including total acidity 0.22%, pH 4.14 and reducing sugar
to 4.52 log CFU/ml. In contrast, sodium metabisulphite
                                                               value 0.85% and the number of microorganisms count.
was the lowest quantity of yeast mold count from week 0 to
week 3 in respectively 2.54 log CFU/ml, 1.69 log CFU/ml,
and 1.39 log CFU/ml for 4℃. Along with this, they were         References
2.81log CFU/ml, 2.35log CFU/ml, and 2.35 log CFU/ml in         [1]    Chrun, R., Hosotani, Y., Kawasaki, S., Inatsu, Y.,
respectively in each week in RT condition.                            2017. Microbioligical hazard contamination in
                                                                      fermented vegetables sold in local markets in
                                                                      Cambodia. Biocontrol Science. 22, 181–185.
                                                               [2]    Defrise, M., Grangeat, P., 2010. Analytical methods.
                                                                      Tomography. 79 , 21–62.
                                                               [3]    Egbe, J., Lennox, J., Rao, P., Anitha, Umoafia, G.,
                                                                      2017. Lactic acid bacteria profile of fermenting
                                                                      cucumber in 7% brine solution. Journal of Advances
                                                                      in Microbiology. 3, 1–8.
                                                               [4]    Khanna, S., 2019. Effects of salt soncentration on
               Fig 6. Yeast mold count
                                                                      the physicochemical properties and microbial safety
3.7. Result of sensory evaluation                                     of spontaneously fermented cabbage. Food Science
    Figure 7 was represented of sensory evaluation in 10              and Human Nutrition. 48 , 67–74.
different isolated lactic acid bacteria of cucumber            [5]    Nations, U., 2001. Food and agriculture
fermentation on the second day. According to running one              organization of the United nations. Vegetable
way ANOVA, all attributes were significantly different                product. 26, 98–104.
with p-value (p≤ 0.05) in these 10 LAB except the color.       [6]    Niro, G.E.A., 2006. A 19 a - Titratable acidity.
Following running one-way ANOVA, it was assumed that                  Interlaboratory testing of methods for assay. 39 , 1–
pure isolated lactic acid bacteria S1, S2, and S3 were                2.
picked up to confirm fermentation again by adding sugar        [7]    Pe, I.M., Ferna, A.G., Gallego, J.B., Yoon, S.S.,
4%.                                                                   Johanningsmeier, S.D., 2013. Fermented and
                                                                      acidified vegetables. 29, 59–65.
                                                               [8]    Zhai, Y., 2017. Fermentation cover brine
                                                                      reformulation for cucumber processing with low salt
                                                                      to reduce bloater defect. Cucumber Fermentation.
                                                                      55, 78-81.
                   1
                   Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                       Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
      2
        Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                  Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                         * Corresponding author: rtan@itc.edu.kh
Abstract
    The young melon is a popular crop for Cambodian people. Some of them eat it as a vegetable while others as a pickle.
Inoculation with a pure culture with lactic acid bacteria (LAB) is known a large-scale method for vegetable fermentation.
Therefore, the purpose of this study was to produce high quality and delicious young melon fermented using pure varieties of
different acidic bacteria. Initially, lactic acid bacteria were isolated from four samples of young melon sold on different
markets in Phnom Penh. The isolated LAB were applied for young melon fermentation for 2 days. The analysis
physicochemical parameters, sensory tests for 2 times and microbials were also conducted. Sodium benzoate and sodium
metabisulfite were used as preservatives in the products and their effects were investigated for 2 weeks. Based on the results
obtained, fresh young melon used in this study had a pH of 6.30, a moisture content of 93.74%, a total acidity of 0.25%,
reducing sugar of 1.97% and an ash content of 0.53%. Moreover, four strains of LAB were found; S1, S2, S3 and S4. After
the first sensory test, fermented young melon products with S2, S3 and S4 were selected to be tested again to select the best
one that give good quality in term of crunchiness and flavor. Consequently, S4 which was isolated from a sample of 7 Makara
market; was considered as the best LAB since the fermented young melon with this LAB got the highest score of flavor and
crunchiness attributes. For long-term preservation of fermented young melon, both sodium benzoate and sodium metabisulfite
could prevent the microbial growth but sodium benzoate is more beneficial than sodium metabisulfite.
I. Introduction                                                  traits that can add variety to the diet and is a means of
                                                                 extending the availability of vegetables beyond their season
    Young melon is a kind of hybrid melon that belongs to
                                                                 [1]. The traditional process usually gives lower organoleptic
the family of Cucurbitaceae and in scientific name called
                                                                 quality and the fermented vegetables cannot be stored for a
Cucumis melo Linnaeus. These young fruits are occasionally
                                                                 long period. To guarantee the consistent quality of
harvested and eaten as a vegetable either raw or cooked and
                                                                 fermentation of vegetables for large-scale production,
they are available year-round. Young melon is a kind of
                                                                 inoculation with a pure culture of lactic acid bacteria (LAB)
vegetables in Cambodia. The fermentation of vegetables is
                                                                 should be done. LAB are defined as beneficial bacteria of
an important method for vegetable preservation, especially
                                                                 which the main metabolites from carbohydrate metabolism
for rural communities, as it gives products with organoleptic
                                                                 is lactic acid. For the food application, LAB is used in the
                                                          223
industry of fermented vegetables where they contribute to      III. Results and Discussion
the preservation of organoleptic quality. Therefore, the aim
                                                               3.1. Physicochemical characteristics of young melon
of this study is to make fermented young melon products
                                                                   The physicochemical characteristics of young melon is
with different tastes using isolated LAB. Moreover, the
                                                               shown in Table 3.1.
quality of the products would be also investigated.
                                                               Table 3.1. Physicochemical characteristics of young melon
                                                                    Parameters                Value
II. Materials and Methods
                                                                    pH                        6.30 ± 0.02
2.1. Materials                                                      Moisture content (%)      93.74 ± 0.74
     The ingredients for fermentation were fresh young              Total acidity (%)         0.25 ± 0.52
melon, salt without iodine and sugar bought from the local          Reducing sugar (%)        1.97 ± 0.10
markets. Young melons selected were fresh with lower than           Ash (%)                   0.53 ± 0.18
27mm diameter and no injuries; and prepared at ambient
temperature in the laboratory before fermentation.             3.2. LAB isolated from fermented young melon
Furthermore, 4 commercially fermented young melon were             Four different strains were isolated from commercially
also purchased for LAB isolation. Sodium benzoate and          fermented young melon; S1, S2, S3 and S4. S1 and S2 were
sodium metabisulfite were used as preservatives. There was     from Orussey market and S3 and S4 were from 7 makara
still other modern equipment which was further described.      market; Phnom Penh; Cambodia.
2.2. LAB isolation                                             3.3. Physicochemical characteristics while fermentation
     The samples were first serially diluted with brine 5%     3.3.1. Changes of pH
from 10-1 to 10-7; and then spread on MRS agar and                 According to Figure 3.3.1 (a). The initial pH in the brine
incubated at 37°C for 24 h. The colonies (LAB) were chosen     solution was 6.29 and then the pH dropped significantly to
to isolate on MRS agar and incubate at 37°C for 24h, then      less than 4 and approximately 3.5 at day 1 and day 2;
picked up, and stood overnight in 1ml of broth. Next, 700 ml   respectively.
of sterilized glycerol was mixed up with broth; and the            (a)                               (b)
mixture was stored in the fridge of -81°C. Finally, LAB were         7                                     7
harvested.                                                           6                                     6
                                                                     5                                     5
2.3. Fermentation process of young melon                             4                                     4
                                                                pH
                                                         224
                          (a)                                                              (b)                                 6.05. For saltiness attribute, S4 had the highest score of 4.35
                          5                                                                2                                   while S2 got the highest score; 5.64 of sourness. In this case,
 Salt concentration (%)
                                                                                                                                          Sensory score
  Figure 3.3.2. Changes of salt concentration in (a) brine                                                                                                 5
              solution (b) fermented young melon                                                                                                           4
    During fermentation, some amount of salt in the brine                                                                                                  3
solution absorbed into young melon through osmosis. And                                                                                                    2
                                                                                                                                                           1
then the salt was slightly decreased in day 2. The higher                                                                                                  0
NaCl concentration in salt solution resulted a rapid salt                                                                                                          S1              S2        S3            S4
                                                                                                                                                                               Strains of LAB
penetration into young melon while the rate of changes in
                                                                                                                                                          Color    Flavor      Firmness      Saltiness     Sourness
pH and the total acidity were reduced [2]. According to the
                                                                                                                                  Figure 3.4.1. Sensory evaluation of fermented young
result in Figure 3.3.2 (b), different types of LAB had
                                                                                                                                                            melon
influence on the final concentration of fermented young
                                                                                                                                   The 3 selected LAB after the first sensory test, gave
melon. The lowest salt concentration was found in S2 while
                                                                                                                               similar results to all parameters except crunchiness and
the highest one was found in S4 at day 2.
                                                                                                                               overall acceptance (Figure 3.4.2). The crunchiness score
3.3.3. Changes of total soluble solids
                                                                                                                               ranged from 6.48, 7.15 and 7.18 for S3, S2 and S4;
    The changes of total soluble solids in fermented young
                                                                                                                               respectively. For overall acceptance, S4 got highest score of
melon during fermentation are shown in Figure 3.3.3.
                                                                                                                               7.33 and was followed by S2 and S3. The flavor and
Therefore, fresh young melon had a sugar content of 3 ⁰Brix,
                                                                                                                               crunchiness could make a big difference for the 33 panelists.
and then at day 2 fermentation, it fell to 2.4-2.7 ⁰Brix.
According to metabolism of lactic acid bacteria [3], they                                                                                                               S2              S3                S4
                                                                                                                                                                             Crunchiness
convert sugar to lactic acid.                                                                                                                                                7.5
                                                                                                                                                            Overall
                                                                                                                                                                                                  Color
                                                    3.5                                                                                                   acceptance
                                                                                                                                                                             6.5
                                                      3
                                                    2.5                                                                                                                      5.5
                                      TSS (⁰Brix)
2 Saltiness Odor
                                                    1.5                                                                                                                      4.5
                                                      1
                                                    0.5                                                                                    Sourness                                                   Aroma
                                                      0
                                                          Fresh S1 S2 S3 S4
                                                               Strains of LAB                                                                                   Sweetness                  Flavor
                                                                                                                         225
conditions at day 7 and day 14.                                                   3.5.3 (b). Then, none of them was present at day 7 and day
 Table 3.5.1. Physicochemical characteristics of fermented                        14 at both temperature conditions for the preservative-
             young melon using food preservatives                                 containing samples. For the control samples investigated at
           Sample             Day     pH Salt (%)                                 both temperature conditions, it was observed that yeasts and
           Control             0      3.36     1.43                               molds grew normally at day 7 and day 14.
                               7      3.24     1.50                               (a)                               (b)
                               14     3.15     1.49                                               8                                       8
                                                                                                  7                                       7
           With S. Meta        0      3.63     1.47
                                                                                                                           log (CFU/ml)
                                                                                   log (CFU/ml)
                                                                                                  6                                       6
                               7      3.37     1.54                                               5                                       5
                                                                                                  4                                       4
                               14     3.15     1.52                                               3                                       3
           With S. Ben         0      3.78     1.41                                               2                                       2
                                                                                                  1                                       1
                               7      3.19     1.50                                               0                                       0
                                                                                                       0    7     14                           0    7     14
                               14     2.62     1.50                                                 Storage time (day)                      Storage time (day)
     In this case, it could be because of replacement of brine                                    Control S. Meta S. Ben                  Control S. Meta S. Ben
solution. In the low salt concentration, the growth of lactic                     Figure 3.5.3. Effect of preservatives on yeasts and molds at
acid bacteria occurred [4]. Thus, a change of brine including                                    (a) room temperature and (b) 4℃
with using low salt concentration enhanced lactic acid
bacteria growth. So, that was why the pH decreased.                               IV. Conclusion
     The salt concentrations were approximately 1.45% at
day 0 for all samples. But at day 7, they increased slightly to                       The fermented young melon using S4 isolated from a
about 1.50%. At day 14, the salt concentration of the sample                      commercially fermented young melon sold at 7 makara
with sodium metabisulfite was nearly stable but it decreased                      market was considered as the best one due to its highest
a little for that with sodium benzoate. This might due to the                     score of flavor and crunchiness after the sensory tests.
osmosis process during storage. It may be that added brine                        Sodium benzoate and sodium metabisulfite both could
was not equivalent with the salt content in the fermented                         prevent microbial growth during storage time and preserve
young melon.                                                                      the products for a long time, but sodium benzoate had a more
3.5.2. Total plate count                                                          beneficial health effect than sodium metabisulfite. However,
     At day 0, it was detected in all samples based on Figure                     the shelf-life study should be done by doing more research
3.5.2 (a) and (b). But there was no total plate count for                         about its characteristics and methodology in the future.
samples with preservatives at day 7 and day 14 at both
temperatures.                                                                     References
(a)                               (b)                                             [1] Yamani, M.I., Hammouh, F., 1999. Production of
           10                                      10                                 fermented cucumbers and turnips with reduced levels
            9                                       9
 log (CFU/ml)
log (CFU/ml)
            8                                       8                                 of sodium chloride.
            7                                       7
            6                                       6                             [2] K. Jong-Goon; Hee-Sook, Choi; Sang-Song, Kim;
            5                                       5
            4                                       4                                 Woo-Jung, K., 1989. Changes in Physicochemical and
            3                                       3
            2                                       2                                 Sensory Qualities of Korean Pickled Cucumbers during
            1                                       1
            0                                       0                                 Fermentation.pdf., 838–844.
                     0    7     14                           0    7     14
                  Storage time (day)                      Storage time (day)      [3] Liu, S., 2003. Practical implications of lactate and
                Control S. Meta S. Ben                  Control S. Meta S. Ben        pyruvate metabolism by lactic acid bacteria in food and
 Figure 3.5.2. Effect of preservatives on total plate count at                        beverage fermentations. 83, 115–131.
               (a) room temperature and (b) 4℃                                    [4] Mcmurtrie, E.K., Johanningsmeier, S.D., Jr, F.B., Price,
3.5.3. Yeast and mold                                                                 R.E., 2019. Effect of Brine Acidification on
    Based on Figure 3.5.3 (a), they were both detected in all                         Fermentation Microbiota, Chemistry, and Texture
samples at room temperature. However, yeasts and molds                                Quality of Cucumbers Fermented in Calcium or
were not detected in all samples at 4℃ based on Figure                                Sodium Chloride Brines.
                                                                            226
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
                    1
                    Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                        Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
  2
    Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of Cambodia,
                        Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                3
                                Faculty of Agriculture, Yamagata University, Japan,
                             1-23 Wakaba-machi, Tsuruoka, Yamagata 997-8555, Japan
* hasika@itc.edu.kh
Abstract
         The rapid evolution of antibiotic resistant bacteria is occurring worldwide, threatening the efficacy of
antibiotics. Antibiotic resistance becomes the main problem for public health in developing countries including
Cambodia that suffers from poverty and poor access to safe water in rural areas, especially at the areas around the Tonle
Sap Lake. Therefore, the purpose of the current study was to detect the presence of Enterococcus spp. in drinking water
collected from Stoung District in Kampong Thom province, and to determine their antibiotic susceptibility. The samples
of drinking water were collected from three communes, Trea (land based), Msa Krang (water -land based) and Peam
Bang (water based) in Stoung District. The detection and isolation of Enterococcus spp. were carried out, followed by
antibiotic susceptibility test. Out of 145 samples, 83 samples were found contaminated with Enterococcus spp. The
results showed that, among the 257 isolated strains of Enterococcus spp., 23% were resistant to tetracycline (TC), 20%
to erythromycin (EM), 11% to vancomycin (VCM), 7.39% to doxycycline (DOX), 4.3% to ciprofloxacin (CIP), 2.7%
to levofloxacin (LVX), and 1.2% ampicillin (AMP). In addition, 38% of isolated strains were resistant to at least one
antibiotic agent as resulting in high-risk contamination of Enterococcus spp. from different water samples. The results
also revealed that 11 isolated strains of enterococci were multidrug-resistant. Remarkably, two strains of enterococci
isolated from Msa Krang commune showed high multiple antibiotic resistance to LVX -AMP-DOX-CIP-VA-TC-EM
corresponding to five antibiotic categories. Nevertheless, the presence of antibiotic resistant enterococci in drinking
water at Kampong Thom province could potentially be a serious harm for public health, particularly the communities
in those area.
                                                         227
can be the reasons of infection in human being when it enters      °C (Standard Methods 9230C). After incubation, the c
blood, urine, or wound [4]. Antimicrobial resistance is a          olonies were identified as enterococci with light and d
measure of an antimicrobial agent’s decreased ability to kill      ark red colonies. The colonies assumed to be enteroco
                                                                   cci were picked and transferred into Enterococcosel br
or inhibit the growth of a microorganism. This is determined
                                                                   oth and incubated for 24 h at 37 °C, the broth chang
practically by testing a bacterial isolate in an in vitro system   ed into black when the enterococci are present and th
against various antimicrobials. There are many pathogenic          en a loop of inoculated broth was streaked on Todd
bacteria that might contaminate in drinking water. But the         Hewitt agar (TH, Becton, Le Pont de Claix, France) a
purpose of the current study was to focus on identification        nd incubated for 24 h at 37 °C. Then enterococci stai
of antibiotic resistance of Enterococcus spp. potentially          ns were picked and transferred into TH broth with pre
present in drinking water. There are several types of              sence 15 percent of glycerol. Finally, all isolated strai
                                                                   ns of enterococci were stored at -80 °C.
antibiotics used in study namely ampicillin, ciprofloxacin,
levofloxacin, tetracycline, doxycycline, vancomycin and            2.3. Antibiotic susceptibility test
erythromycin.                                                          The antibiotic susceptibility testing of enterococci was
                                                                   conducted by using the disk diffusion method recommended
II. Materials and Methods                                          by CLSI (2017). The enterococci strains were grown on
2.1. Sampling sites                                                Todd Hewitt agar to culture the bacteria for 16 h – 24 h from
    The current study was carried out at three communes,           -80 °C. Then, the colonies were picked into 10 mL of saline
Trea (land-based), Msa Krang (water land-based), and Peam          water (0.85%) and compare with 0.5 MacFarland standard
Bang (water-base area) located in Stoung district, in              which contains the concentration of standardized 108
Kampong Thom province. The samples were collected in               CFU/mL [6]. After that, a sterile cotton swap was dipped
three different villages per commune (Fig. 1) and kept             into bacteria suspension and transfer into Mueller Hinton
cooled and sent to laboratory for microbiological analysis.        agar (MH, Himedia, Mumbai, India) by streaking the over
The water sample were analyzed within 24h to 48h as they           the surface of MH agar. The streaking method of bacteria
keep in 1℃ to 4℃ in the dark [5].                                  suspension three times at a different angle of 60 ° on MHA
                                                                   and then, let the plate dry 3 - 5 minutes. The concentration
                                                                   of antibiotics contains in disks were chosen according to
                                                                   recommend from CLSI (2017). The diameter of each zone
                                                                   was measured in millimeter by using digital Caliper and the
                                                                   interpretation of measurement results as sensitive,
                                                                   intermediate resistance and resistance was made by CLSI
                                                                   (2017) that demonstrated in Table 1.
                                                            228
       III. Results and Discussion                                                     antibiotic classes. Those antibiotic classes are β-lactam,
                                                                                       fluoroquinolone, tetracycline, macrolides, and vancomycin.
       3.1. Detection and isolation of Enterococcus spp.
                                                                                       257 isolated colonies from 83 samples were conducted disk
       The presence of Enterococcus spp. was observed from
                                                                                       diffusion test. As the Fig. 3 show the variation of sensitivity
       different commune Trea, Msa Krang, and Peam Bang. In
                                                                                       degree to the test antibiotic in Stoung district. Most strains
       comparison, drinking water sample in Msa krang and Trea
                                                                                       are sensitive to ampicillin 96% (n=247), doxycycline 77%,
       are mostly contaminated compare to Peam bang commune.
                                                                                       ciprofloxacin 77%, tetracycline 73%, levofloxacin 71%,
       The concentration of Enterococcus spp. in Msa Krang have
                                                                                       vancomyci 33% and erythromycin 13% (n=34). There are
       a wide range of 1 to 867 CFU/100mL while Peam Bang have
                                                                                       still have some strains are resistant to those antibiotics
       concentration range of 0.5 to 776 CFU/100mL. In the
                                                                                       mostly resistant to tetracycline 24% (n=62) and
       previous study of [7], the concentration of enterococci
                                                                                       erythromycin 19.84% (n=51).
       increase range from 32 to 82× 104 CFU/100mL. The most
       contaminated site was from water-land based and most of
       the sample detected were filtered water sample. Therefore,                                                            100
                                                                                       Percentage of antibiotic-resistance
       the contamination of enterococci might be because people in                                                            90
       those area are lack of knowledge of changing filter regularly                                                          80
       3.2. Detection and isolation of Enterococcus spp.                                                                      70
           Out of the 145 samples tested, which were collected from                                                           60
       three different communes in Stoung district in Kampong                                                                 50
                                                                                                      (%)
       Thom province, 83 samples 57% were found to be                                                                         40
       contaminated with enterococci in drinking water sample. In                                                             30
       these 83 samples 57%, 40% (n=33) were collected from Msa                                                               20
       Krang commune which is the water-land based communities,                                                               10
       36% (n=30) were from land base area in Trea commune, and                                                                0
                                                                                                                                   LVX   AMX   DOX       CIP   VA   TC   EM
       24% (n=20) were collected from Peam Bang commune;
       water based or floating communities. In this study, 257                                                                                 R     I    S
       strains of Enterococcus spp. were isolated from 83 samples
                                                                                                Fig. 3. Percentages of antibiotic-resistance Enterococcus
       with seven different types of samples such as rain water,
                                                                                                                 spp. in Stoung District
       bottle water (20L), filter, boiling water, water supply, well
       water, and lake water as shown in Fig.2.
                                                                                           Enterococci, which are found in many aquatic
                                                                                       compartments, have an advantage in terms of persistence
                              55
                              50                                  rain water           and multiplication because of their tolerance to various
Percentage of samples types
                                                                  water supply
                              25
                              20
                                                                  well water           antibiotic resistant enterococci present a higher risk of
                                                                  Lake water
                              15                                                       spreading antibiotic resistance genes than other bacteria [8].
                              10
                               5
                                                                                       According to [6], more than 45% of the enterococci studied
                               0                                                       were resistant to ciprofloxacin, erythromycin and
                                   Trea   Msa krang   Peam Bang
Fig. 2. Percentage of samples types collected from St                                  tetracycline, antibiotics are often used by humans and in
                       oung district.                                                  animals as therapeutic agents
       3.3. Antibiotic resistance of Enterococcus spp. in                              3.4 Multi-antibiotic resistance of Enterococcus spp.
           drinking water                                                                  In antibiotic susceptibility test, 51% of colonies is
           The isolated Enterococcus spp. from drinking water                          susceptible and intermediate resistant to the antimicrobial
       samples in Stoung district were conducted antibiotic                            agent. Whereas, 38% were resistance to the at least one
       susceptibility test with seven antibiotics agent in five                        antimicrobial agent, while 11% (n=11) were multidrug-
                                                                                 229
resistant strains. Only two strains (2.0%) were resistance to
all type of antibiotic resistance LVX-AMP-DOX-CIP-VA-            Acknowledgement
TC-EM in different five antimicrobial categories as
                                                                     We are thankful to the Science and Technology Research
demonstrated in Fig 4.
                                                                 Partnership for Sustainable Development (SATREPS), the
                                                                 Japan Science and Technology Agency (JST)/Japan
          11%                                                    International Cooperation Agency (JICA) for their financial
                                                                 support.
38%                                   51%
                                                                 References
                                                                  [1]    Emad Abada, Zarraq Al-Fifi, Abdul Jabbar Al-
                                                                         Rajab, M.M. and M.S., 2019. Molecular identi fi
                                                                         cation of biological contaminants in different
                                                                         drinking water resources of the Jazan region , Saudi
                                                                         Arabia. , 622–632.
                                                                  [2]    Abdelrahman, A.A., 2011. Bacteriological quality
                 S&I     R    MDR
                                                                         of drinking water in Nyala , South Darfur , Sudan. ,
                                                                         37–43.
    Fig. 4. Percentage of antibiotic resistant of Enterococcus    [3]    WHO., 2019. Drinking-water. World Health
spp. in drinking water indicated as S&I: susceptible and                 Organization., 1.
intermediate resistant, R: resistant, MDR: multidrug-             [4]    CLSI., 2012. Methods for Dilution Antimicrobial
resistance.                                                              Susceptibility Tests for Bacteria That Grow
                                                                         Aerobically.
                                                                  [5]    Water,     department of., 2009. Surface water
    Poor hygiene and infection control, lack of sanitation,
                                                                         sampling methods and analysis — technical
weak or unenforced medicines regulation, and sub-standard                appendices Standard operating procedures for
quality drugs have been suggested as some of the main                    water sampling-.
drivers of AMR in SE Asia [9]. In Cambodia, the behavior          [6]    Macedo, A.S., Freitas, A.R., Abreu, C., Machado,
of people using antibiotics in rural areas including trained             E., Peixe, L., Sousa, J.C., Novais, C., 2011.
and untrained pharmacists, drugstores and nurses are                     International Journal of Food Microbiology
provided drugs to patients without go through any diagnose.              Characterization of antibiotic resistant enterococci
                                                                         isolated from untreated waters for human
Moreover, the villagers in the communities mostly
                                                                         consumption in Portugal. International Journal of
purchasing antibiotic by self-prescription.                              Food Microbiology. 145, 315–319.
                                                                  [7]    Lata, P., Ram, S., Agrawal, M., Shanker, R., 2009.
IV. Conclusion                                                           Enterococci in river Ganga surface waters :
    In conclusion, more than 50 percent of drinking water,               Propensity of species distribution , dissemination
mostly filtered water, were contaminated with pathogenic                 of antimicrobial-resistance and virulence-markers
                                                                         among species along landscape. 10, 1–10.
enterococci and could be a health risk for the communities
                                                                  [8]    Nishiyama, M., A.I.& Y.S., 2015. Journal of
living in those area. in order to reduce the multiple                    Environmental Science and Health , Part A : Toxic
antibiotic resistance, the authorities should educate people             / Hazardous Substances and Environmental
to strengthen the hygienic practice including cleaning and               Identification of Enterococcus faecium and
boiling water consumption, especially cleaning regularly the             Enterococcus faecalis as vanC-type Vancomycin-
water containers with clean water to reduce recontamination              Resistant Enterococci ( VRE ) from sewage and
and filter change. Moreover, proper use of antibiotics should            river water in th. , 37–41.
                                                                  [9]    Reed, T.A.N., Krang, S., Miliya, T., et al., 2019.
be considered based on doctor’s prescription. Moreover,
                                                                         International Journal of Infectious Diseases
wastewater from health care should be treated to ensure                  Antimicrobial resistance in Cambodia : a review.
absence of pathogenic bacteria before discharge to                       85, 98–107.
environment since microorganisms will continue to adapt to
environment by developing resistance to new drugs and to
cause serious infection.
                                                          230
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
  Boren BUN 1, Sovannmony NGET 1, 2, Soukim HENG 1,2, Sokneang IN 1, 2, Nishiyama MASETERU 3, Toru
                                 WATANABE 3 and Hasika MITH 1, 2,*
                   1
                   Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                       Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
      2
        Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                  Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                3 Faculty of Agriculture, Yamagata University, Japan
                                       * Corresponding author: hasika@itc.edu.kh
Abstract
    Escherichia coli has been known as key indicator of fecal contamination for drinking water. Even most of E. coli were not
pathogenic but some of them could be a threat in causing serious illness and outbreaks in many countries. Misuse of antibiotics
is currently becoming a major concern in relation to increase of antibiotic resistance of E. coli and prolongation of
hospitalization. Therefore, the current study was carried out to determine antibiotic resistance of E. coli isolated from drinking
water collected from three communes, Trea, Msa Krang and Peambang, in Stoung District, Kampong Thom province. The
drinking water samples were subjected for detection and isolation of E. coli, followed by antibiotic susceptibility test with
seven antibiotics. Among the 145 collected samples, there were 48 samples from Trea, 50 samples from Msa Krang and 47
samples from Peambang. The results showed that the presence of E. coli was detected in 54 out of 145 samples with 94
isolated strains. In terms of antibiotic susceptibility, E. coli were found to be resistant to the tested antibiotics as following:
67% to ampicillin, 52.31% to ticarcillin, 49.98% to tetracycline, 13.45% to ciprofloxacin, 10.46% to fosfomycin, 3.19% to
gentamicin, and 1.06% to ceftazidime. In addition, 44.68% were identified as multi-drug resistant (MDR) with MAR index
value > 0.2 and remarkably 2.12% were resistant to six antibiotics corresponding to six classes of antibiotics. These findings
could be an indicator showing a concern in terms of health risk for the communities living in those areas.
                                                           231
real value of bacterial resistance to antibiotics since bacterial   2.3. Antibiotics susceptibility test
antibiotic resistance is the natural process that happens after         Susceptibility test was done by using the disc diffusion
the bacteria are exposed to it [6]. Consequently, there is          method and following the categories of Clinical laboratory
uncertainty about post-antibiotics about the issue of               standard institute (CLSI) for determining the susceptibility
antibiotics in the future and the broader effect on the health      or resistance. Muller Hinton agar was used as the media for
system in emerging and developed countries, and even basic          the test. Only the fresh culture can be used for susceptibility
infections would be unmanageable and potentially fatal [7].         test, using the LB agar to subculture the colonies. Prepare
                                                                    the 0.5 McFarland concentration of colonies in 10 ml saline
II. Materials and Methods                                           solution. Placing antibiotics discs with on the media surface,
                                                                    make sure they are well touched the media. The position of
2.1. Sampling sites
                                                                    disk on the inoculated plate, the center-center distance is 24
   145 samples were taken from three communes in Stoung
                                                                    mm and from edge to edge is 10 to 15 mm, then incubated
District, Kampong Thom Province, Cambodia (Figure 3.1).
                                                                    in the optimum temperature of 37 ℃ for 16-18 h. In
Trea (land-based) 48 samples, Msa Krang (water-land-based)
                                                                    interpretation of result, measured the diameter of zone
50 samples, and Peambang (water-based) 47 samples were
                                                                    inhibition and report the result as Resistant (R), Intermediate
such communities. Sterilized bottles of 500 ml of drinking
                                                                    (I) and Susceptible (S) by comparing the reference in CLSI,
water (rain water, purified water, bottled water, lake water,
                                                                    as shown in Table 1.
well water and water supply) per household were dispensed
and then sent to the microbial laboratory of the Institute of
                                                                       Table 1. Diameter of inhibition zone [8].
Technology of Cambodia.
                                                                                           Diameter of inhibition (mm)
                                                                     Antibiotics
                                                                                      Susceptible   Intermediate   Resistance
                                                                                            (S)            (I)           (R)
                                                                     AMP                ≥17           14-16          ≤13
                                                                     CAZ                ≥21           18-20          ≤17
                                                                     CIP                ≥21           16-20          ≤15
                                                                     GEN                ≥15           13-14          ≤12
                                                                     FOS                ≥16           13-15          ≤12
                                                                     TE                 ≥15           12-14          ≤11
    Fig. 1. Map of sampling locations                                TIC                ≥20           15-19          ≤14
2.2. Detection and isolation of Escherichia coli
    Using the membrane filtration for detection of                  III. Results and Discussion
Escherichia coli from the samples in 24 h after collection.
The Chromocult coliform agar was used as the selective              3.1. Detection of Escherichia coli
media, and incubation was at 37 ℃ for 18-24 h. The dark-                Among 145 samples in three communes, there are 54
blue or violet formed colonies were considered as                   samples were found positive of Escherichia coli, with 17
Escherichia coli and would then be picked by loop to                samples in Trea commune, 20 samples in Msa Krang
another Chromocult coliform agar plate for isolation. This          commune and 17 samples from Peambang. The total of
process would be continued until all the colonies form on the       isolated strains from these three locations are 94 samples
plates are purple or only dark-blue colonies appeared. Then         which then be tested for antibiotics susceptibility.
the colonies were ready for stock culture storage. Using the
LB broth for the media to grow the isolated strains, prepared
in the Eppendorf, picking the colonies strains to the
Eppendorf and incubated at 37 ℃ for 24 h. After incubation,
adding the glycerol to make the glycerol concentration is 15-
20%, vortex then keeping in the -80 ℃ freezer.
                                                             232
                                                                                                                                  and TIC with 28.13%. While, only 12.5% are resistant to CIP
  Number of each parameter                         60                                                                             and Following by GEN and CAZ with 6.25% of total strains.
                                                                                     50
                                                   50
                                                            48                                               47                   In Cambodia, the level of understanding about antibiotics is
                                                                                                                       40
                                                   40                                                                             still low. They lack of education about drug consumption
                                                                                               32
                                                   30                                                                             and the potential impacts [2]. Using drug freely, discharging
                                                                        22
                                                   20             17
                                                                                          20
                                                                                                                  17              to the environment without treatment, bacteria can evolve
                                                                                                                                  their gene to be resistant to antibiotics [11]. While, waste
                                                   10
                                                                                                                                  water treatment plant is currently not specifically tasked
                                                    0
                                                                 Trea               Msa Krang                Peam Bang            with the removal of antibiotics resistance gene yet [13]. With
                                                                               Results by commune                                 presence of antibiotics in the environment, it may create
                                                   Total samples             Detected Samples            Detected Strains         selective pressure which antibiotic resistance, in
                                                                                                                                  consequence [14].
                                                           Fig.2. Results of detected samples.
                                                                                                                                                                                 100%
3.2. Antibiotics resistance of Escherichia coli
                                                                                                                            233
among the microbiota as antibiotics exposure to bacteria [2],                                          [5] Mobarki, N., Almerabi, B., Hattan, A., 2019. Antibiotic
and antimicrobial resistance is accelerated when                                                           Resistance Crisis. International Journal of Medicine in
overexposure   of     bacteria     to   antibiotics    [17].                                               Developing Countries. 40, 561–564.
                                                                                                       [6] Prestinaci, F., Pezzotti, P., Pantosti, A., 2015.
                                               100%                                                        Antimicrobial resistance: A global multifaceted
  Percentage of antibiotic resistant strains
                                                                                                 234
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
Abstract
    The emerging of Antibiotic Resistant Bacteria (ARB) in wastewater and freshwater systems is a severe health problem
and water quality concern. Thus, the monitoring and assessment of ARB in the water system are essential for public health
protection. This study aims to assess the water quality in term of physicochemical, total bacteria and ARB concentration at
Kopsrov lake (KL) that is impacted by domestic wastewater. Three different sites at KL, including upstream, middle, and
downstream, were chosen. The physicochemical properties such as pH, temperature, turbidity, dissolved oxygen (DO),
conductivity, and oxidation-reduction potential (ORP) were analyzed. Moreover, culture-dependent methods were used to
determine the concentration of total bacteria and ARB (Escherichia coli and Coliform) that are resistant to ampicillin (AMP),
kanamycin (KAN) and ciprofloxacin (CIP). The result showed that the physicochemical properties (pH and DO) were
followed the national effluent standard for pollution sources while Coliform concentration were higher than the standard. The
concentration of total bacteria at the upstream site of KL showed the highest concentration (4.04E+05 CFU/ml) which
contained coliform (7.90E+04 CFU/ml) that was higher than national standard (<1.0E+01 MPN/ml). While at the downstream,
the concentration of total bacteria was reduced to 3.23E+04 CFU/ml where coliform concentration (2.60E+03 CFU/ml), but
remained higher than standard. Notably, the middle lake water showed the lowest concentration (3.91E+03 CFU/ml) while
Coliform (1.33E+03 CFU/ml) was still higher than compared standard. Similarly, the antibiotic-resistant E. coli and Coliform
at upstream showed the highest, followed by the downstream site. The antibiotic resistant E. coli was not detected in the
middle lake water sample. E. coli and Coliform had the highest resistant to AMP, followed by CIP and minor resist to KAN
at each sampling site. This finding implies that, (KL) is constituted of some significant ARB which are considered as a
potential threat to humans and/or animal health since they may lead to more cases of difficult-to-treat infections. Moreover,
part of the ARB released from wastewater will not only be able to cause disease in humans or animals, the risk of worsening
the environmental problem which results in contributing to the emergence of resistant pathogenic bacteria.
Keywords: Antibiotic Resistance Bacteria, E. coli, Coliform, Wastewater
                                                          235
microorganisms, allow the body’s natural defenses, the           (Tem), turbidity, dissolved oxygen (DO), conductivity
immune system, to eliminate them by inhibiting the               (Cond), and oxidation-reduction potential (ORP) were
synthesis of a bacterial cell, synthesis of proteins,            analyzed by using YSI EXO2 multi-parameter instrument.
deoxyribonucleic acid (DNA), ribonucleic acid (RNA) [2].         2.3. Quantification of Total Bacteria and ARB
In fact, antibiotics are widely used in many applications such    Culture-dependent methods were used to determine of total
as for the treatment of infectious diseases to protection of     bacteria and ARB (Escherichia coli and Coliform) that are
human health and added into feed to promote animal growth        resistant to ampicillin (AMP), kanamycin (KAN) and
which is partially leaded to emerge of antibiotic-resistant      ciprofloxacin (CIP).
bacteria (ARB) [3]. Antibiotics has become an emerging               Lysogeny Broth agar was used to culture Total Bacteria
micropollutant and their presence in the water lead bacteria     (TPC) which colonies appeared in white colour with Pour
to develop resistant gene which is often transferred from        Plate Method. For Escherichia coli (E. coli) and Coliform
bacterial cells to other cells, occasionally from commensal      were done by Pour Plate technique with Chromocult®
bacteria to pathogenic ones, promote ARB and antibiotic          Coliform Agar by Merck Millipore. Bacteria was
resistance genes (ARGs) in the environment. Thus,                distinguished by colonies color which can be known as dark
environment can promote the development and                      blue or violet is E. coli while pink represented Coliform.
dissemination of ARGs, which have been identified as a               Three antibiotics were added into culture media. Stock
global public health crisis [4].                                 solution was prepared by dissolving antibiotics powder into
    Currently, wastewater released from households contains      sterilized pure water and diluting it into culture media to
234 tons of feces, 2,335 m3 of urine and 8,154 m3 of grey        achieve the concentration of 50 µg/mL for AMP and KAN,
water per day. There are 14 pumping stations in Phnom            and 5 µg/mL for CIP. Antibiotic-resistant bacteria
Penh’s 732-kilometer drainage system and 44,807                  enumerated by using spread plate technique. All sampled
converted-holds in Phnom Penh for wastewater                     plates were done triplicate and control plate contained no
management. Kopsrov water treatment facility on the lake         antibiotic. The concentration of bacteria was calculated by
became the 14th pumping station, with the construction of a      using the following equation
water treatment facility that covers about 500-hectares, the                                ∑𝐶
lake is now being used to discharge sewage and flood water                       𝑁=                                   (Eq.1)
                                                                                         𝑛×𝑑×𝑣
from Phnom Penh [5]. Since Kopsrov Lake (KL) has                 Where 𝑁 is the concentration of bacteria (CFU/ml), Σ𝐶 is
received many sources of wastewater which may contained          the sum of counted colonies, 𝑛 is the amount of plates, 𝑑 is
high concentration of pollutant and various bacteria. Thus,      the dilution factor, and 𝑉 is the inoculated volume.
the monitoring and assessment of bacteria, especially ARB
are essential for public health protection. This study           III. Results and Discussion
investigates the current status of water quality of KL that is
impacted by the flow of untreated wastewater.                        The physicochemical characteristics at each site, are
                                                                 shown in Table 1. It can be seen that Tem, DO, turbidity,
II. Materials and Methods                                        Cond and ORP of UP site were 22.72oC, 7.36, 2.92 mg/l,
                                                                 102.00 NTU, 312.33 µs/cm, and 209.50 mV respectively. At
2.1. Sampling sites                                              MS site, the Tem, pH, DO, turbidity, Cond and ORP were
    Samples were collected on 07th October, 2020, during         22.13 oC, 7.89, 5.93 mg/l, 18.27 NTU, 278.93 µs/cm, and
rainy season from three different sites as surface water and     357.17 mV while at DS were 20.98oC, 7.74, 6.61 mg/l, 22.03
wastewater discharging point in KL including upstream            NTU, 270.73 µs/cm, and 423.53 mV respectively. Moreover,
(US), middle stream (MS), and downstream (DS). 1000 mL           pH and DO value at each site were ranged within national
of each sample was collected and stored in sterilized            standard (pH: 6.5-8.5) and DO (7.5-2.0), according to sub-
polyethylene bottle, and placed in ice box while transporting    degree on water pollution control [6].
to ITC laboratory for analysis.
                                                          236
Table 1. Physicochemical characteristics of lake water                                                    Concentration of Total Plate Count (TPC), Antibiotic
                                                                                                      Resistance of Coliform and antibiotic resistance of E. coli
 Parameter                                        UP            MS              DS         SD         which expressed in CFU/ml were shown in Fig. 1, Fig. 2 and
 Tem (oC)                                       22.72          22.13       20.98             -        Fig. 3. respectively. In Fig. 1, concentration TPC at UP
 pH                                             7.36            7.89        7.74          6.5-8.5     (4.04E+05 CFU/ml) was higher than those at DS (3.23E+04
 DO (mg/l)                                      2.92            5.93        6.61          7.5-2.0     CFU/ml) and MS (3.91E+03 CFU/ml). Out of TPC in US,
 Tur (NTU)                                     102.00          18.27       22.03             -        MS and DS contained Coliform (7.90E+04, 1.33E+03 and
 Cond (µs/cm)                                  312.33          278.93      270.73            -        2.60E+03 CFU/ml) which equaled to 19.55%, 34.02% and
 ORP (mV)                                      209.50          357.17      423.53            -
                                                                                                      8.05% while E. coli (3.82E+04, 0.00E+00 and 4.30E+02
                                  1.00E+06                                                            CFU/ml) that equaled 9.46%, 0.00% and 5.72% respectively.
                                                                                                      Coliform concentration at all three sites were higher than
   Concentration (CFU/ml)
                                  1.00E+05
                                                                                                      given standard on water pollution control (<1.0E+01
                                  1.00E+04                                                            MPN/ml) which meant that those sample were not complied
                                  1.00E+03                                                            with national standard [6]. Coliform, primary indicator of
                                                                                                      fecal contamination that found at three sites could be
                                  1.00E+02
                                                                                                      brought into aquatic environment through treated or
                                  1.00E+01                                                            untreated wastewater release. In        Fig. 2 suggested that,
                                  1.00E+00                                                            the highest antimicrobial resistance of Coliform that
                                                  US                MS               DS               compared to control, at DS tolerant to AMP (70.77%),
                                                             Sampling locations
                                                                                                      followed by CIP (29.12%) and KAN (13.73%). At UP,
                                                                                                      antimicrobial resistance of Coliform for AMP (13.92%),
                                    Fig. 1. Concentration of Total Plate Count                        followed by KAN (1.72%) and CIP (1.55%) while at MS for
                                                                                                      AMP (69.92%), followed by CIP (0.25%) and KAN (0.00%).
                                  1.00E+05                                                            In Fig. 3, antimicrobial resistance of comparing to control,
         Concentration (CFU/ml)
                                                                                                237
killing or decreasing growth of bacteria. Even though             inhibitory concentration (MIC) which is varied by
Coliform was not fully removed, its concentration at DS is        depending on antibiotic group [10]. Even if low
still highly resistant to all three drugs as shown in Fig. 2      concentrations of CIP, a group of fluoroquinolones could
comparing to control. The percentage of antibiotic resistance     promote resistance for both detected E. coli and Coliform.
at DS, MS, or UP to AMP is higher than other two drugs.           This might be from overuse of one of the fluoroquinolone
For MS site is clearly indicated that Coliform is highly          leads to the development of resistance to the whole group of
tolerant to AMP (69.92%) while resistance level is less for       quinolone antibiotics. Fluoroquinolones which are mostly
CIP (0.25%) and KAN (0.00%), so Coliform growth were              added to the animal feed and used to treat humans caused
inhibited by KAN and CIP at MS site. Coliform is an               selected E. coli strains resistant to these drugs [9]. However,
indicator microorganism which subdivided into total and           E. coli also known as less resistance to KAN which located
fecal coliforms (E. coli, Klebsiella, and Enterobacter) while     in aminoglycosides group that used to treat serious bacterial
total coliform includes both soil intermediates and fecal         infections. These group are poorly absorbed by orally, so
forms, fecal coliforms confines to those from fecal origin,       they are usually injected into a vein [10].
used as standard microbial indicators of water quality.           IV. Conclusion
Because some pathogenic microorganism also known as
                                                                      Results of our research have shown that TPC is a
Coliform group, so its highly resistant to specific drugs
                                                                  contained Coliform and E. coli. Also frequency of TPC at
appeared as a serious concern of multi-drug resistant of
                                                                  UP was the highest. E. coli showed major resistance to AMP
pathogenic one [9]. E. coli at MS site was not detected
                                                                  and CIP, and minor resistance to KAN. Emerging of these
while the highest concentration is at UP which can be
                                                                  resistance while a growing of common infection such as
expressed in higher contaminated from human activities.
                                                                  waterborne and foodborne disease are becoming harder, and
This result paralleled to Coliform which the most
                                                                  sometime impossible, to treat as antibiotic become less
contaminated site known as UP. Since MS sample is absent
                                                                  effective.
of E. coli, so this site could not use to express antibiotic
resistance while the other two have shown. Each studied site
shown the percentage of resistance where at DS known as           Acknowledgement
highly resistant one. Detected E. coli (5.72%) from total            This research was supported by the Science and
bacteria indicated the highest tolerance to AMP (71.40%),         Technology Research Partnership for Sustainable
followed by CIP (57.44%) and KAN (13.19%). This result            Development (SATREPS), the Japan Science and
indicated that E. coli resisted to AMP. E. coli were not killed   Technology Agency (JST)/Japan International Cooperation
and it continued to grow even the presence of AMP. E. coli        Agency (JICA) with the grant-number JPMJSA1503, and
too had developed ability and defeated the drug which were        AFD/EU.
usually applied to kill them [8]. Moreover, from resistance       References
percentage, it is indicated that E. coli was not resistant to
                                                                  [1]    Manaia, C.M., Rocha, J., Scaccia, N., Marano, R.,
KAN as it showed small resistant percentage, so KAN is the               Radu, E., Biancullo, F., Cerqueira, F., Fortunato, G.,
most effective one among studied drugs. E. coli is the most
                                                                         Iakovides, I.C., Zammit, I., Kampouris, I., Vaz-
common cause of uncomplicated and community acquired
                                                                         Moreira, I., Nunes, O.C., 2018. Antibiotic resistance
urinary tract infection [8]. According to Fig.2. and Fig.3.              in wastewater treatment plants: Tackling the black
both E. coli and Coliform are highly resistant to AMP and
                                                                         box. Environ. Int. 115, 312–324
minor resistant to CIP and KAN. AMP which is considered           [2]    Zaman, S.B., Hussain, M.A., Nye, R., Mehta, V.,
as a resistance drug to either Coliform or E. coli could not
                                                                         Mamun, K.T., Hossain, N., n.d. A Review on
use to treat infected human. The reason for this is common
                                                                         Antibiotic Resistance: Alarm Bells are Ringing.
practice of prescribing ampicillin in the tract infections, and          Cureus 9.
the fact that ampicillin was the most commonly prescribed
                                                                  [3]    Qadir, M., Wichelns, D., Raschid-Sally, L.,
antibiotics in developing countries. World Health                        McCornick, P.G., Drechsel, P., Bahri, A., Minhas,
Organization donated large doses of these antibiotics in the
                                                                         P.S., 2010. The challenges of wastewater irrigation
treatment of many infectious diseases [9]. Concentration of
                                                                         in developing countries. Agric. Water Manag. 97,
KAN (50µg/L) and CIP (5µg/L) indicated their minimal                     561–568.
                                                           238
[4]    Liu, X., Guo, X., Liu, Y., Lu, S., Xi, B., Zhang, J.,
       Wang, Z., Bi, B., 2019. A review on removing
       antibiotics and antibiotic resistance genes from
       wastewater by constructed wetlands: Performance
       and microbial response. Environ. Pollut. 254,
       112996.
[5]    Pumping station pollution plagues community,
       2018.        .       Khmer         Times.        URL
       https://www.khmertimeskh.com/528735/pumping-
       station-pollution-plagues-community/        (accessed
       12.15.20).
[6]    Royal Government Concil of Minister, n.d. Sub-
    Degree-27-on-Water-Pollution-Control_990406.pdf. [7]
    Marín Galvín, R., Rodríguez Mellado, J.M., Ruiz
    Montoya, M., Jiménez Gamero, C., 2001. OXIDATION-
    REDUCTION POTENTIAL (ORP) IN PREPARED
    AND INDUSTRIALLY TREATED WATERS. Bol. Soc.
    Chil. Quím. 46, 387–397.
[8]    Cooke, M.D., 1976. Antibiotic resistance in coliform
       and faecal coliform bacteria from natural waters and
       effluents. N. Z. J. Mar. Freshw. Res. 10, 391–397.
[9]    Vranic,      S.M.,       Uzunovic,     A.,      2016.
       ANTIMICROBIAL               RESISTANCE            OF
       ESCHERICHIA COLI STRAINS ISOLATED
       FROM URINE AT OUTPATIENT POPULATION:
       A SINGLE LABORATORY EXPERIENCE. Mater.
       Socio-Medica 28, 121–124.
[10]   Brain J., W., n.d. Aminoglycosides - Infections.MSD
       Man.           Consum.         Version.         URL
       https://www.msdmanuals.com/home/infections/anti
       biotics/aminoglycosides (accessed 12.8.20).
                                                        239
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                       Jointly held with
            th
      The 5 International Symposium on Conservation and Management of Tropical Lakes
                       “Insights and Challenges toward Achieving SDGs”
    Seab SAT 1, Sovannmony NGET 1, 2, Soukim HENG 1,2, Sokneang IN 1, 2, Masateru NISHIYAMA 3, Toru
                               WATANABE 3 and Hasika MITH 1, 2,*
                     1
                    Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                        Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
  2
    Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of Cambodia,
                        Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                  3
                                    Faculty of Agriculture, Yamagata University, Japan
                                  1-23 Wakaba-machi, Tsu Yamagata 997-8555, Japan
                                                   * hasika@itc.edu.kh
Abstract
    The opportunistic pathogenic Pseudomonas aeruginosa has been categorized as the critical prioritized pathogen for
research and development of new antibiotics according to the World Health Organization. However, the awareness of P.
aeruginosa’s antibiotic resistance is still not widely and specifically studied in developing countries. The current study
was conducted to determine antibiotic resistance of P. aeruginosa isolated from drinking water collected in Kampong
Thom province. The enumeration of P. aeruginosa was carried out using filtration method, followed by isolation and
antibiotic susceptibility test. The results showed that out of 145 samples, 35 drinking water samples were detected with
presence of P. aeruginosa. Furthermore, a total number of 123 strains were isolated prior to antibiotic susceptibility
test. As a result, only nine isolated strains were found to be resistant to ticarcillin among the tested antibiotics. Even
though no single strain showed its resistance to meropenem and fosfomycin, but 2 and 17 strains of P. aeruginosa were
observed to be intermediate to the two antibiotics, respectively. However, colistin, gentamicin, and ciprofloxacin
showed a good effectiveness against these isolated P. aeruginosa. Based on this study, the prevalence of antibiotic-
resistance of P. aeruginosa is not high in the drinking water collected from the three communes in Stoung District.
                                                          240
2.1. Sampling sites                                              gentamycin (10 g/disk), meropenem (10 g/disk),
    A total number of 145 drinking water samples were            ciprofloxacin (5 g/disk), colistin (10 g/disk), Fosfomycin
col-lected, located in Kampong Thom province along To            (200 g/disk) and ticarcillin (75 g/disk). The antibiotic
nle Sap Lake. The sampling was carried out in three co           containing disks were placed on the Mueller Hinton agar
mmunes such as Trea, Msa Krang and Peam Bang with                (MH, Himedia, Mumbai, India). The diameters of inhibitory
three villages from each commune, and the map of sam             zone (mm) were measured and compared to the reference to
pling sites was shown in Fig. 1 The samples were imm             determine whether the isolated strains were susceptible,
ediately sent to the laboratory to analyze within 24 h [4        intermediate or resistant, as shown in the Table 1.
].                                                               Table 1. CLSI diameter of inhibition zone
    Fig. 1. Sampling sites areas in Kampong Thom.                 Ciprofloxacin                                          ≥21                  16-20               ≤15
2.2. Detection of P. aeruginosa by filtration method
    The collected drinking water samples were enumerated         III. Results and Discussion
for P. aeruginosa using filtration method. A volume of 100       3.1. Detection and isolation of P. aeruginosa
ml of samples was filtrated using 0.45 µm mixed cellulose            In overall 145 samples were taken from nine villages in
ester filters (Merck Millipore, Germany). The filters were       three different communes in Kampong Thom province to
placed onto the prepared Pseudomonas CFC/CN agar                 detect the presence of P. aeruginosa. As the result, the
(Merck KGaA, Darmstadt, Germany) with CN supplement              presence of P. aeruginosa was found in 35 samples among
and incubated at 37 ˚C for 24 h, the blue/green colonies were    those 14, 11, 10 samples were from Trea, Msa Krang, and
detected and considered as P. aeruginosa.                        Peam Bang respectively. They were originated from various
2.3. Isolation of P. aeruginosa from water samples               resources including rain water, bottle water (20L), lake
                                                                 water, filter, and boiling in 23%, 11%, 14%, 43%, 9%
    The grown colonies were selected continuously for
                                                                 respectively.
isolation to ensure the purity of each strain out of diverse
bacterial population. The colonies were looped and streaked                                         60.00
                                                                   detected of P. aeruginosa (%)
                                                                                                                        50.00                                             50.00
                                                                    Percentage of sample types
                                                          241
   As shown in Fig. 2, the presence of P. aeruginosa was                           that have to be tested with disk diffusion method and zone
found in filtered, boiling drinking water which could be an                        measurement to determine its resistance.
explanation of water being stored inappropriately that could                                                  93.55            100            100            100            100             100
                                                                                                       100
cause contamination from the container or lack of                                                       90
effectiveness of the filtration method.                                                                 80
                                                                                      Percentage (%)
                                                                                                        70
3.2. Antibiotic                       susceptibility      of     isolated     P.                        60
                                                                                                        50
aeruginosa                                                                                              40
                                                                                                        30
3.2.1. Trea Commune                                                                                     20
                                                                                                           6.45
     The sampling sites in Trea commune are located in t                                                10          0 0    0         0   0          0    0         0    0         0    0
                                                                                                         0
hree different villages such as SA, TT, and HB that are                                                     R I S R        I    S R      I     S R       I    S R       I    S    R    I    S
full of villagers. There are 48 isolated strains in Trea co                                                   TIC         MEM            CL             GEN            FOS            CIP
mmune that have to be applied with disc diffusion meth
                                                                                                                                             Antibiotics
od, and in order to determine its resistance, zone measur
ements were compared to the reference in CLSI (2017)                               Fig. 4. Antibiotic resistance of P. aeruginosa in Msa Krang
[5].                                                                                                         Commune.
                 100    91.67       100     100     100                 100           As shown in Fig. 4, the antibiotic resistance of P.
                  90                                          77.08                aeruginosa is quite similar to the previous result that two P.
                  80
Percentage (%)
                                                                            242
to play a strong role to inhibit this pathogen. This result        Aztreonam and Ticarcillin in Pseudomonas aeruginosa
could be evidence of a possible presence of antibiotic             isolated from soil of different crops in Brazil. Science
resistance genes (ARGs) contamination from Tonle Sap               of the Total Environment. 473–474, 155–158.
Lake along with Peam Bang commune, and the occurrence         [9] Ash, R.J., Mauck, B., Morgan, M., 2002. Antibiotic
and transfering of ARGs could be caused by pollution from         resistance of gram-negative bacteria in rivers, United
human activities [9].                                             States. Emerging Infectious Diseases. 8, 713–716.
IV. Conclusion
   In conclusion, a high concentration of P.
aeruginosa was found in drinking water that originated
from home-collected boiling and rain water. The
prevalence of antibiotic-resistant P. aeruginosa is not
high in drinking water for those sampling sites while
the presence of multi-drug resistance is not detected for
any isolated strain.
Acknowledgement
  We are thankful to the Science and Technology
Research Partnership for Sustainable Development
(SATREPS), the Japan Science and Technology Agency
(JST)/Japan International Cooperation Agency (JICA) for
their financial support and Institute of Technology of
Cambodia for their laboratory cooperation.
References
[1] Jasovský, D., Littmann, J., Zorzet, A., Cars, O., 2016.
    Antimicrobial resistance—a threat to the world’s
    sustainable development. Upsala Journal of Medical
    Sciences. 121, 159–164.
[2] Alam, M.J.B., Islam, M.R., Muyen, Z., Mamun, M.,
    Islam, S., 2007. Water quality parameters along rivers.
    International Journal of Environmental Science and
    Technology. 4, 159–167.
[3] Brander, N., 2003. Drinking water in schools. Nursing
    times. 99, 50–51.
[4] WHO., 1997. Guidelines for Drinking-water Quality.
    World Health. 1, 104–8.
[5] CLSI., 2017. M100 Performance Standards for
    Antimicrobial Susceptibility Testing.
[6] Vaz-Moreira, I., Nunes, O.C., Manaia, C.M., 2012.
    Diversity and antibiotic resistance in Pseudomonas spp.
    from drinking water. Science of the Total Environment.
    426, 366–374.
[7] Martinez, J.L., 2009. Environmental pollution by
    antibiotics and by antibiotic resistance determinants.
    Environmental Pollution. 157, 2893–2902.
[8] Pitondo-Silva, A., Martins, V.V., Fernandes, A.F.T.,
    Stehling, E.G., 2014. High level of resistance to
                                                        243
        The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                           Jointly held with
                th
          The 5 International Symposium on Conservation and Management of Tropical Lakes
                           “Insights and Challenges toward Achieving SDGs”
_________________________________________________________________________
      Sovathana PHUONG1, Monychot Tepy CHANTO1,3, Chanthol PENG1,3, Kazuhiko MIYANAGA2 and
                                        Reasmey TAN 1, 3,*
                       1
                       Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                           Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                      2
                        School of Life Science and Technology, Tokyo Institute of Technology, 4259 J3-8
                                    Nagatsuta-cho, Midori-ku, Yokohama, 226-8501, Japan
          3
            Food Technology and Nutrition Research Unit, Research and Innovation Center, Institute of Technology of
                      Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                                            * Corresponding author: rtan@itc.edu.kh
Abstract
    Use, misuse, and overuse of antibiotic have led to the emergence of antibiotic-resistant bacteria. However, the
prevalence of such bacteria in water environment of Cambodia is still less studied. Thus, this study was done in order to
detect antibiotic-resistant bacteria in water environment of Tonle Sap area (Tonle Sap River and Tonle Sap Lake) and
wastewater. Enumeration and isolation of antibiotic-resistant Klebsiella pneumoniae, Escherichia coli, and Staphylococcus
aureus were done by spread plate method and streaking on selective media supplemented with antibiotics. The isolated
strains were then used in antibiotic susceptibility experiment by disc diffusion method in order to confirm its resistance. The
result shows that highest concentration of antibiotic-resistant bacteria was found in wastewater, and a few sites of Tonle Sap
area where influence of anthropogenic pollution may cause promotion of gene transfer and acquisition of resistance genes.
From this study, it could be said that now antibiotic-resistant bacteria is highly prevalent in all sample sites which are in
close proximity with human population of water environment of Tonle Sap area.
Keywords: antibiotic-resistant bacteria, disc diffusion method, Tonle Sap area, wastewater
I. Introduction
    Pollution of antibiotics from usage in medicine,
livestock, and aquaculture into water environment in
combination with wastewater discharge containing                  II. Methodology
antibiotics residues in environment lead to occurrence of
antibiotic resistance in environmental bacteria [12, 15].
                                                                  2.1. Sampling sites and enumeration of antibiotic-
However, little is known about antibiotic-resistant bacteria      resistant bacteria
that represent environmental isolates. As a result, this study        Seven sampling sites which were chosen in this study
is conducted in order to detect antibiotic-resistant bacteria     are located in Phnom Penh city (one from Tonle Sap River
in the water environment and wastewater in order to               and one from Cheung Ek wastewater), Kampong Chhnang
contribute to lack of data prevalence of drug resistance in       province (four from around Chnok Trou floating village)
environment. Recently, with the finding that there is a high
                                                                  and Pursat province (one from Kampong Luong floating
concentration of Proteobacteria and Firmicutes in the
water environment of Tonle Sap area especially near the           village). Antibiotic-resistant bacteria was enumerated by
floating villages [16], K. pneumoniae, E. coli, and S.            using viable plate count method with spread plate
aureus are selected to study its antibiotic resistance.           technique on DHL Agar (for K. pneumoniae), Chromocult
                                                                  Agar (for E. coli), and Mannitol Salt Agar (for S. aureus).
                                                          244
The selective media were supplemented with antibiotics
such as ampicillin, ciprofloxacin, kanamycin, meropenem,
and vancomycin at breakpoint concentration.
(a)
                                                          245
3.2. Resistance of isolated strains to antibiotics
    Measuring of the diameter of the zone of inhibition for
each antibiotics yields the following result. From 73% to
100% of isolated strains of antibiotic-resistant K.
pneumoniae are resistant to ampicillin and vancomycin
which are intrinsic resistant of this bacteria [13] while high
resistance to tetracycline could be due to possession of tetB
or tetD gene that encode efflux pump [9]. For E. coli, high
resistance to vancomycin is also due to intrinsic resistant to
this antibiotic. However, high percentage of ampicillin-
resistant strain is expected as ampicillin is a drug that was
introduced in 1961 and has been used for a long time [14].
In addition, high resistance to tetracycline could be due to
the use of this antibiotic in aquaculture as prophylactics
which then lead to selection of resistant bacteria [7]. For
(c)
                                                                 IV. Conclusion
                                                                     In conclusion, high concentration of these antibiotic-
                                                                 resistant bacteria was found in Wastewater site and in
                                                                 sampling sites of water environment of Tonle Sap area
                              (a)                                such as Tonle Sap river site, Port site, Lake Water site, and
                                                                 Kampong Luong site where their locations are in close
                                                                 proximity to human population.
                                                                 Acknowledgement
                                                                     We are thankful to the Science and Technology
                                                                 Research Partnership for Sustainable Development
                                                                 (SATREPS), the Japan Science and Technology Agency
                                                                 (JST)/Japan International Cooperation Agency (JICA) for
                                                                 their financial support.
                              (b)
                                                                 Reference
                                                                 [1] Baquero, F., Martínez, J. L., and Cantón, R., 2008.
                                                                     Antibiotics and antibiotic resistance in water
                                                                     environments. Current Opinion in Biotechnology, 19,
                                                                     260–265.
                                                          246
[2] Bouki, C., Venieri, D., and Diamadopoulos, E., 2013.              riverine antibiotic resistance genes. Environmental
    Detection and fate of antibiotic resistant bacteria in            Science and Technology, 46, 11541–11549.
    wastewater treatment plants: A review. Ecotoxicology         [12] Rozman, U., Duh, D., Cimerman, M., and Turk, S. Š.,
    and Environmental Safety, 91, 1–9.                                2020. Hospital wastewater effluent: hot spot for
[3] Czekalski, N., Sigdel, R., Birtel, J., Matthews, B., and          antibiotic resistant bacteria. Journal of Water,
    Bürgmann, H., 2015. Does human activity impact the                Sanitation and Hygiene for Development, 1–8.
    natural antibiotic resistance background? Abundance          [13] Sarkar, P., Yarlagadda, V., Ghosh, C., and Haldar, J.,
    of antibiotic resistance genes in 21 Swiss lakes.                 2017. A review on cell wall synthesis inhibitors with
    Environment International, 81, 45–55.                             an    emphasis     on     glycopeptide    antibiotics.
[4] El-Shenawy, M., 2005. Staphylococcus aureus and                   MedChemComm, 8, 516–533.
    fecal indicators in Egyptian coastal waters of Aqaba         [14] Simon, H. J. and Miller, R. C., 1966. Ampicillin in
    Gulf, Suez Gulf, and Red Sea. Egypt Journal of                    the Treatment of Chronic Typhoid Carriers. New
    Aquatic Research, 31, 113–124                                     England Journal of Medicine, 274, 807–815.
[5] Hatcher, S. M., Myers, K. W., Heaney, C. D., Larsen,         [15] Suzuki, S. and Hoa, P. T. P., 2012. Distribution of
    J., Hall, D., Miller, M. B., and Stewart, J. R., 2016.            quinolones, sulfonamides, tetracyclines in aquatic
    Occurrence of methicillin-resistant Staphylococcus                environment and antibiotic resistance in Indochina.
    aureus in surface waters near industrial hog operation            Frontiers in Microbiology, 3, 1–8.
    spray fields. Science of the Total Environment, 565,         [16] Ung, P., Peng, C., Yuk, S., Tan, R., Ann, V.,
    1028–1036.                                                        Miyanaga, K., and Tanji, Y., 2019. Dynamics of
[6] Kesharwani, A. K. and Mishra, J., 2019. Detection of              bacterial community in Tonle Sap Lake, a large
     β-lactamase and antibiotic susceptibility of Clinical            tropical flood-pulse system in Southeast Asia. Science
     Isolates of Staphylococcus aureus. Biocatalysis and              of the Total Environment, 664, 414–423.
     Agricultural Biotechnology, 17, 720–725.
[7] Li, D., Yu, T., Zhang, Y., Yang, M., Li, Z., Liu, M.,
    and Qi, R., 2010. Antibiotic resistance characteristics
    of environmental bacteria from an oxytetracycline
    production wastewater treatment plant and the
    receiving river. Applied and Environmental
    Microbiology, 76, 3444–3451.
[8] MOE, 2009. Cambodia Environment Outlook. 1st ed.
    Ministry of Environment, Phnom Penh.
[9] Nawaz, M., Khan, S. A., Tran, Q., Sung, K., Khan, A.
    A., Adamu, I., and Steele, R. S., 2012. Isolation and
    characterization of multidrug-resistant Klebsiella spp.
    isolated from shrimp imported from Thailand.
    International Journal of Food Microbiology, 155,
    179–184.
[10] Plano, L. R., Garza, A. C., Shibata, T., Elmir, S. M.,
     Kish, J., Sinigalliano, C. D., Gidley, M. L., Miller, G.,
     Withum, K., Fleming, L. E., and Solo-Gabriele, H.
     M., 2011. Shedding of Staphylococcus aureus and
     methicillin-resistant Staphylococcus aureus from
     adult and pediatric bathers in marine waters. BMC
     Microbiology, 11, 1-10.
[11] Pruden, A., Arabi, M., and Storteboom, H. N., 2012.
     Correlation between upstream human activities and
                                                          247
         The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                            Jointly held with
                 th
           The 5 International Symposium on Conservation and Management of Tropical Lakes
                            “Insights and Challenges toward Achieving SDGs”
                        1
                          Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia,
                              Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
                2
                  Water and Environment Research Unit, Research and Innovation Center, Institute of Technology of
                         Cambodia, Russian Federation Blvd., P.O. Box 86, 12156 Phnom Penh, Cambodia
3
  School of Life Science and Technology, Tokyo Institute of Technology, 4259 J2-15 Nagatsuta-cho, Midori-ku, Yokohama, 226-850
                                                               1, Japan
                                                           * peng@itc.edu.kh
Abstract
        The increasing of antibiotics resistance bacteria becomes a current critical problem which has to be solved as soon as
    possible. Bacteriophage is found as an alternative treatment to antibiotic to treat the bacterial infection with its high specificity
    to their host. The seven bacteriophages were screened from wastewater and used to treat with the six resistance strains of
    Escherichia coli such as E. coli 09-02E, E. coli E302, E. coli papRG-06-5, E. coli Mt1B1, E. coli STEC711 and E. coli
    ECCRA-119 which were isolated from river water and wastewater in the previous study. The host range of 7 phages were
    determined by performing spot test with 6 primary hosts which mentioned above, and one phage was eventually selected for
    further study due to its high infectivity. Phage ΦW1El had the widest host range, producing clear plaques on two hosts, E.
    coli 09-02E and E. coli E302. The measurement of optical density at the wavelength of 660 nm (OD660) of ΦW1El treated
    with both strains was confirmed the infectivity of phage and indicated that phage activity against both strains of bacterial was
    obtained within 3 h to 9 h. However, the phage began to lyse at 3 h but then the phage-resistant bacteria appeared after 9h.
    Keywords: Escherichia coli; multidrug-resistant bacteria; phage-antibiotic combination; phage therapy; the infectivity of
       phage
                                                                248
observation of optical density at the wavelength of 660nm.        The spot test method was mentioned in [7]. The positive spot
                                                                  test will show up as total pulverization of the whole drop
II. Materials and Methods                                         area, whereas a negative spot test will result within the
                                                                  bacterial lawn growing normally in the region of the spot.
2.1. Sampling sites, E. coli strains, isolation of
                                                                  The lytic ability of phages was considered by the plaques
    bacteriophages
                                                                  clarity which was observed as clear, turbid, and faint.
                                                           249
plaques on two resistance strains whereas another six phages     its host and then the bacterial start steadily recover after 3h.
only produce turbid plaques are judged as less infection.        From 3h until 9h, the OD660 remained almost steady. After
                                                                 9h, it was observed that the OD660 slightly increase as the
                                                                 number of phage resistant bacteria increased in both strains.
                                                                 However, the four other strains did not show any differences
                                                                 even with or without phage added which means that phage
                                                                 W1EL was not able to infect those bacteria hosts. The
                                                                 increasing of bacterial density might be caused by lysis from
                                                                 without. The lysis from without described an early bacterial
                                                                 lysis induced by high multiplicity virion adsorption and that
                                                                 occurs without phage production simply say, lysis does not
                                                                 depend on phage infection but instead is influenced directly
                                                                 by extracellularly contributed agents [1]. A large amount of
                                                                 phage particles is adsorbed to the host bacterium, the
                                                                 decreasing turbidity of bacterial is considered as phage lysis.
                                                                 Lysis from without is different from normal lysis which
                                                                 occurs at the end of the phage latent period with release of
                                                                 new phage [8].
                                                                                                   E. coli 09-02E
                                                                               2.2
                                                                               2.0
                                                                               1.8
                                                                               1.6
                                                                               1.4
                                                                 OD (660 nm)
1.2
Figure 1. Spot tests for the 7 phages with the widest 1.0
                                                          250
                                       E. coli E302                                     Enfermedades Infecciosas y Microbiologia Clinica,
              2.2
                                                                                        31, 3–11
              2.0
                                                                                  [4]   Khachatourians, G. G., 1998. Agricultural use of
              1.8                                                                       antibiotics and the evolution and transfer of antibiotic-
              1.6                                                                       resistant bacteria. Cmaj, 159, 1129–1136
              1.4                                                                 [5]   Lin, D. M., Koskella, B., and Lin, H. C., 2017. Phage
OD (660 nm)
Acknowledgement
   This research was supported by the Science and
Technology Research Partnership for Sustainable
Development (SATREPS), the Japan Science and
Techonolgy Agency (JST)/Japan Internation Cooperation
Agency (JICA) with the grant-number JPMJSA1503.
References
                                                                            251
    The 13th AUN/SEED-Net Regional Conference on Chemical Engineering 2020 (RCChE-2020)
                                         Jointly held with
      The 5th International Symposium on Conservation and Management of Tropical Lakes
                         “Insights and Challenges toward Achieving SDGs”
Price Evaluation and Quality Control of Different Soy Sauces Sold in the Markets
1
    Graduate School, Institute of Technology of Cambodia, Russian Federation Blvd., P.O. Box 86, Phnom Penh, Cambodia.
      2
        Food Technology and Nutrition Research Unit, Institute of Technology of Cambodia, Russian Federation Blvd.,
                                           P.O. Box 86, Phnom Penh, Cambodia.
        3
          Faculty of Chemical and Food Engineering, Institute of Technology of Cambodia, Russian Federation Blvd.,
                                           P.O. Box 86, Phnom Penh, Cambodia.
                                                    * rtan@itc.edu.kh
Abstract
    This study is aimed to evaluate the price and quality control of different soy sauces sold in the markets. Four local
markets and five supermarkets were selected to survey the price and collecting samples. To analyze the quality of soy sauce,
pH, salt content, soluble salt - free solid, reducing sugar, total nitrogen, amino acid nitrogen, halophilic yeast and total
bacteria were selected in determining soy sauce quality. As a result, Cambodian soy sauce, Vietnamese, and Thai soy sauce
were abundant in the local markets, and Chinese soy sauce, Malaysian soy sauce, Taiwanese and Indonesian soy sauces
were found mostly in supermarkets. Within 42 soy sauce brands found, the price was between 400 riel/100mL and 12000
riel/100mL. Within the physiochemical analysis of the 42 soy sauce samples, their pH was between 3.79 to 4.62, Salt was
between 4.7 g/100 mL to 23.40 g/100mL, Reducing sugar was between 0.21 g/100 mL and 9.57 g/100 mL, soluble salt-free
solid content was between 1.21 g/100mL and 38.65 g/100 mL, Total nitrogen was between 0.08 g/100 mL and 2.2 g/100 mL
and Amino acid nitrogen was between 0.01 g/100mL and 1.2 g/100mL. For microbiological quality, there were 3 soy sauces
that had the presence of halophilic yeasts and Total plate count was detected in 50% of soy sauces but they were lower than
standard limits. By comparing the results in the physicochemical analysis and microbiological quality, there were 11
samples that were within the specifications of Cambodia’s national soy sauce standards. For further study, 3-MCPD and the
volatile compounds of 42 soy sauces will be analysed.
I. Introduction
     Soy sauce has been a liquid condiment originated from      that, scientists found that soy sauce also contains bioactive
China since approximately 2200 years ago. It is produced        compounds         with    anticarcinogenic,    antimicrobial,
by mixing the steamed soybeans with roasted and grided          antioxidative, and antiplatelet activities [4] and also
wheat, and Koji mold spores and incubate for 3 to 5 days        antiallergenic activity [5]. There are many different soy
followed by fermentation in brine for about 3 to 6 months       sauces sold in Cambodia; however, the study of their
[1]. People in Asian countries such as China, Japan, Korea,     quality is unknown. The price and quality are essential for
Thailand, the Philippines, Indonesia, and more than 90% of      attracting the consumers. The main objective of this study
Cambodian people consumed soy sauce [2]. Soy sauce is           was to know the price and quality of soy sauces currently
normally used in cooking, such as in soups, frying, roasting,   sold in Cambodia's markets by providing awareness to the
marinating, and also for dipping. It is widely used in the      consumers and providing information to the manufacturers
purpose of food, for improving the taste, flavour and aroma,    to be more careful with the quality of soy sauce production.
as it is the main source of natural umami taste [3]. Not only
                                                         252
II. Materials and Methods
                                                                                                                                          Halophile yeasts were cultured by using Potato
2.1. Survey of soy sauce price
                                                                                                                                      Dextrose Salt agar. Media was made by weighting 24 g of
    The survey was conducted in 2 weeks from 26 February                                                                              potato Dextrose Broth powder and 15 g of agar powder
to 03 March 2020. Market survey was divided into 2                                                                                    together into a 1000 mL bottle with 100g of sodium
sections in the local markets and supermarkets around and                                                                             chloride, then stir and Autoclave 15 minutes at 121 ℃
in the middle of Phnom Penh city. First section was local                                                                             after autoclaved keep it until 45 ℃ in the water bath and
markets such as Psa Thom Thmey, Samaki, Tu Tum Pung,                                                                                  add 10 mL of 10% tartaric acid solution, then media was
and Ou Reusey. In local markets, 4 sellers were selected in                                                                           poured (about 25 to 30 mL) to the plate and keep it until
Psa Thom Thmey, 3 sellers were selected in Psa Samaki, 4                                                                              cool, 0.1 mL of soy sauce sample was pipetted to the hard
sellers were selected in Psa Tu Tum Pung, and 6 sellers                                                                               agar media, then a spreader was used to spread the sample
were selected in Psa Ou Reusey. The distance between each                                                                             over the agar until dried [6]. Plate Count Agar was used to
seller was 3 to 4 shops. And the second section was in                                                                                grow and count the total number of aerobic microbial
supermarkets such as: Lucky Olympic, Lucky Steung                                                                                     contaminants in samples. 23.5 g of PCA was added and
Mean Chey, Aeon I and II, and Macro supermarket. Data                                                                                 1000 mL of distilled water, and then stirred until becoming
were collected by recorded the volume of soy sauce bottles,                                                                           a homogenous solution, sterilized in an autoclave set at
price and country of production origin.                                                                                               121°C for 15 minutes. Sample was tested 3 times by taking
                                                                                                                                      1 ml of soy sauce diluted with buffer sodium chloride, after
2.2. Physicochemical analysis of soy sauces                                                                                           that pouring 15-20ml of PCA at 45°C ±1°C into the Petri
                                                                                                                                      and put it into the incubator at 36°C ± 1°C for 2 days.
    Soy sauce samples were bought from the markets to
analyze their physicochemical characteristics. The salt
                                                                                                                                      III. Results and Discussion
concentration was analysed using salt-meter (Atago model
ES-421), pH measurement was analysed by using pH                                                                                          There are 42 different soy sauce brands that were
meter (OHAUS, Starter300), soluble salt free solid content                                                                            collected from local markets and supermarkets. Price of
and amino nitrogen was analysed as described in GB/T                                                                                  each soy sauce brand sold in local markets and
18186-2000 [14], and total nitrogen was analysed as                                                                                   supermarkets is shown in Fig. 1.. Within a price from 400
described in AOAC. (2000) [15] The soy sauce samples                                                                                  riel to 4000 riels per 100 mL in local markets, Cambodian
were analysed in triplicate and data was represented in the                                                                           soy sauces were the same price or cheaper than Thai and
form of mean ± standard deviation (SD). Analysis of                                                                                   Vietnamese soy sauces, except the C7 that has high price of
variance (ANOVA) with Tukey's test was performed to                                                                                   2,000 riels and, there were 38 brands of soy sauces sold in
evaluate significant difference in the physicochemical                                                                                the supermarkets. Soy sauces imported from Japan, Hong
parameters from different samples, and a significant                                                                                  Kong, Taiwan, Korea and France can be found in the
difference was defined as p < 0.05, and one-way ANOVA                                                                                 supermarkets with the high price varying from 550 to
was conducted using SPSS software.                                                                                                    12,000 Riels per 100 mL among soy sauces sold in markets,
                                                                                                                                      the price of J2 soy sauce was the highest.
2.2. Microbiological analysis of soy sauces
                                          12000
           Price in the market (100 mL)
8000
6000
4000
2000
                                              0
                                                  C1
                                                       C2
                                                            C3
                                                                 C4
                                                                      C5
                                                                      C6
                                                                      C7
                                                                           C8
                                                                                C9
                                                                                     Th1
                                                                                           Th2
                                                                                                 Th3
                                                                                                       Th4
                                                                                                             Th5
                                                                                                                   Th6
                                                                                                                         Th7
                                                                                                                               Th8
                                                                                                                                     Th9
                                                                                                                                           Th10
                                                                                                                                                  Th11
                                                                                                                                                         Th12
                                                                                                                                                                Th13
                                                                                                                                                                       Ch1
                                                                                                                                                                       Ch2
                                                                                                                                                                       Ch3
                                                                                                                                                                       Ch4
                                                                                                                                                                       Ch5
                                                                                                                                                                       Ch6
                                                                                                                                                                       Ch7
                                                                                                                                                                        V1
                                                                                                                                                                             V2
                                                                                                                                                                                  V3
                                                                                                                                                                                       V4
                                                                                                                                                                                            S1
                                                                                                                                                                                            S2
                                                                                                                                                                                            J1
                                                                                                                                                                                            J2
                                                                                                                                                                                            M
                                                                                                                                                                                             H
                                                                                                                                                                                             K
                                                                                                                                                                                             T
                                                                                                                                                                                             F
                                                                                                                               Soy sauce
 Fig. 1. Price of soy sauce sold in super markets compared with local market, The alphabet codes (C, Th, Ch, V, S, J, M, H,
                                                                                                                    253
   K, T, and F) are represented: (Cambodia, Thailand, China, Vietnam, Singapore, Japan, Malaysia, Hong Kong, Korea,
                                            Taiwan and French), respectively.
According to the institute of standard of Cambodia, soy          ± 0.02 and 4.62 ± 0.01, soy sauce C4, C5, C6, C8, TH3,
sauce’s pH should be between 4.2 and 4.8 [8]. As shown in        Ch6, V1, V4 were lower than the standard.
Fig 2. The pH of the soy sauce samples was between 3.79
                       5.2
                       5.0
                       4.8
                       4.6
                       4.4
                  pH
                       4.2
                       4.0
                       3.8
                       3.6
                                T
                              Th1
                              Th2
                              Th3
                              Th4
                              Th5
                              Th6
                              Th7
                              Th8
                              Th9
                               C1
                               C2
                               C3
                               C4
                               C5
                               C6
                               C7
                               C8
                               C9
                             Th10
                             Th11
                             Th12
                             Th13
                              Ch1
                              Ch2
                              Ch3
                              Ch4
                              Ch5
                              Ch6
                              Ch7
                               V1
                               V2
                               V3
                               V4
                               S1
                               S2
                               J1
                               J2
                               M
                                H
                                K
                                F
                                                          Soy sauce samples
  Fig.2. pH of soy sauce samples. The alphabet codes (C, Th, Ch, V, S, J, M, H, K, T, and F) are represented: (Cambodia,
          Thailand, Vietnam, Singapore, Japan, Malaysia, Hong Kong, Korea, Taiwan and French), respectively.
Salt is an important ingredient used in soy sauce                Cambodia, soy sauce was divided into 2 parts, such as dark
fermentation, a good fermented soy sauce should have 18%         soy sauce and light soy sauce. Light soy sauce had a
to 20% of salt [6]. Out of 42 soy sauce samples, soy sauce       soluble salt free solid content about (15 to 18 g/100 mL)
code M has a salt content of only 4.7 g/100 mL, with an
                                                                 and dark soy sauce has soluble salt free solid content about
amount so low, this product needs to add a food
preservative to ensure safety and a longer shelf life.           (22 to 44 g/100 mL). Total nitrogen is another parameter
While Ch6 has salt content 23.40 g/100mL this amount is          indicating the quality in soy sauce [6]. According to the
very high over the Cambodian soy sauce standard [8],             national institute of standards in Cambodia, soy sauce must
consumption of too much sodium is not good for the health,       have at least total nitrogen 0.8%. There are 22 soy sauce
especially for someone who suffers from heart disease,           samples having the total nitrogen greater than 0.8 g/100mL.
hypertension and kidney disease [9]. Based on the national       Total nitrogen and total amino nitrogen was used as an
institute of standards of Cambodia, the maximum amount           indicator to show the effect of fermentation too, by the way
of salt allowed in soy sauce is 20%. Amount of 42 soy            in sample C8 (0.08 ±0.02 g/100mL) total nitrogen so low it
sauce samples, there are only 7 soy sauce simples had high       could be from poor fermentation, short period of time or
amount of salt over 20%. Reducing sugar is very important        the digestion of soy beans was not done well, moreover this
for making a good taste and quality of soy sauce, and had        soy sauce could be make from excessive dilution [10].
about 2 to 5% in a good quality of soy sauce [6]. Within 42      Amino nitrogen is one of the testing parameters showing us
soy sauce samples the lowest reducing sugar was found in         the quality and effective of soy sauce fermentation.
“C8” has the total amount 0.21 ± 0.01% while the highest         Amount of 42 soy sauce samples, there are 23 soy sauces
of reducing sugars was found in sample “S2” has the total        having the amino nitrogen bigger than 0.26 g/ 100 mL,
amount 9.57 ± 0.06% by the way there were only 12                Th13 sample had amino nitrogen 1.18 ± 0.17 (g/100 mL)
samples found in the range of 2 to 5. The lowest amount of       greater than other samples, by the way “C8” samples had
soluble salt free solid content was found in “C8” sample         amino nitrogen only 0.01 ± 0.00 (g/100 mL) lower than the
(1.21±0.09 g/100mL) while the highest was found in “M”           other samples. According to institute of standard of
sample (38.65 ± 0.14 g/100ml) the main reason that made          Cambodia the amino nitrogen in soy sauce must be equal
sample “M” has the soluble salt free solid greater than          or bigger than 0.26 g/100 mL [7].
other samples it could be from adding sugar [11] and it also     Within the experiments there were 3 samples found having
described in soy sauce ingredient on soy sauce “M” about         halophilic yeast inside. TH5 has halophilic yeast more than
the adding of sugar in the ingredient. There are 18 samples      other samples followed by C6 and C2.as shown in Table 1.
having an amount of soluble salt free solid content bigger       The presence of halophilic yeasts in the samples should be
than 15. According to the Institute of standards of              from the lack of hygienic practice in the production,
                                                        254
pasteurize or sterilize not well. The halophile yeasts could   [2]    Theary, C., Panagides, D., Laillou, A., Vonthanak, S.,
deteriorate soy sauce quality; it could be given off an               Kanarath, C., Chhorvann, C., Sambath, P., Sowath, S.
offensive odour and forming the thin pellicle during long             & Moench-Pfanner, R. (2013). Fish sauce, soy sauce,
term storage [12].                                                    and vegetable oil fortification in Cambodia: where do
                                                                      we stand to date? Food Nutr. Bull. 34.
Table 1. Halophilic yeast detected in the soy sauce samples.   [3]    Marcus, J.B. (2019). Flavor Enhancement Ingredients,
        Samples           Halophilic yeast colony (CFU/mL)
                                                                      in: Aging, Nutrition and Taste. Elsevier, pp. 173–206.
                                                               [4]    Murooka, Y. & Yamshita, M. (2008). Traditional
          C2                        1.1± 1.00×102                     healthful fermented products of Japan. J. Ind.
          C6                        2.2 ± 2.64×101                    Microbiol. Biotechnol. 35: 791 –798
          Th5                       2.35 ± 8.02×102            [5]    Kobayashi, M. (2005). Immunological functions of
                                                                      soy sauce: Hypoallergenicity and antiallergic activity
                                                                      of soy sauce. J.
Based on the Nation Institute of Standard of soy sauce in
                                                               [6]    Food and Agriculture Organization, 1984. Manuals of
Cambodia, Halophilic yeasts much be absence in the soy
                                                                      food quality control. 1st ed. Rome, Italy.
sauce. According to the nation food safety soy sauce
                                                               [7]    Luh, B. S., 1995. Industrial production of soy sauce.
standard in China, the total number of bacterial colony
                                                                      Journal of Industrial Microbiology, 14, 467–471.
should be lower than 5000 CFU/mL [13]. The highest
                                                               [8]    CS 066:2011. (2012)., Institute of standards of
bacteria grown on “S1” sample about 1.6×103 CFU/mL, all
                                                                      Cambodia., Soy sauce standard.
of samples had total bacteria lower than 5×103 CFU/mL or
                                                               [9]    He, F.J., MacGregor, G.A., 2010. Reducing
not detected in the samples.
                                                                      Population Salt Intake Worldwide: From Evidence to
IV. Conclusion                                                        Implementation. Prog. Cardiovasc. Dis. 52, 363–382.
                                                               [10]   Röling, W.F.M., Van Verseveld, H.W., 1996.
    From the market survey on 42 soy sauce samples, the
                                                                      Characterization of Tetragenococcus halophila
price was between 400 riel/100mL to 12000 riel/100mL,
                                                                      populations in Indonesian soy mash (kecap)
For the physiochemical tests, and microbiological tests, as
                                                                      fermentation. Appl. Environ. Microbiol. 62, 1203–
the results, 11 samples has found to have high quality as
                                                                      1207.
shown in Institute of Standard of Cambodia such as one of
                                                               [11]   Garnida, Y., Taufik, Y., 2014. Fermentation in Salt
Cambodia soy sauce (C7), 2 of Thai’s soy sauce (Th6,
                                                                      Solution to Produce Jack Beans (Canavalia
Th12), one of China’s soy sauce (Ch3), a Singapore’s soy
                                                                      ensiformis L) SAUCE, International Congress on
sauce (S2), two of Japan’s soy sauce (J1, J2), a Hong
                                                                      Challenges of Biotechnological Research in Food
Kong’s soy sauce (H), a Malaysia’s soy sauce (M), a
                                                                      and Health. Slamet Riyadi University.
Taiwan’s soy sauce (T) and a French’s soy sauce (F).
                                                               [12]   Lee, Y. T.-S., Chu, Y.-H., Shin, B.-K., and and Ju-
    For further research, volatile compounds, 3-MCPD,
                                                                      Hyun, 1975. Study on Preservation of Soy Sauce. , 7,
development of high-quality soy sauce with the benefits for
                                                                      200–207
the human health and price competition should be
                                                               [13]   GB/T GB 2717-2018. (2000)., Nation standard of the
conducted.
                                                                      people's republic of china., Soy sauce. Chinese
                                                                      Standard Publishing House.
Acknowledgements                                               [14]   GB/T 18186-2000. (2000)., Nation standard of the
                                                                      people's republic of china., Fermented soy sauce.
   We would like to acknowledge the Ministry of
Education, Youth and Sport for financial support through              Chinese Standard Publishing House.
Higher Education Improvement Project (HEIP) Research           [15]   AOAC. (2000). Official Methods of Analysis 17th
Grant.                                                                Ed., AOAC IN-TERNATIONAL, Gaithersburg, MD,
                                                                      Method 991.20.
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