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Running head: THE EFFECT OF ESSENTIAL OILS IN A GASEOUS STATE ON
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The Effect of Essential Oils in a Gaseous State on Escherichia coli
Brandon DeLoach & Kayla Pintro
Harrison High School
December 2018
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Running head: THE EFFECT OF ESSENTIAL OILS IN A GASEOUS STATE ON
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Abstract
Aromatherapy, the process of diffusing essential oils into the air, has become increasingly
popular in today’s societies and is believed by many to help cleanse the air of toxins and
pathogens. In our science fair project, The Effects of Essential Oils in a Gaseous State on
Escherichia Coli, we are exposing Escherichia coli bacteria to an assortment of essential oils
with antimicrobial potential to see how they affect the bacteria’s growth. The essential oils that
will be used in this experiment are cinnamon, citronella, eucalyptus, grapefruit, lemon, oregano,
and tea tree. Background information shows that these essential oils have antimicrobial
properties and are some of the strongest oils to use to topically fight bacteria. Since all of the past
experiments on this topic have been done topically, we decided to test them in a gaseous state
using an essential oil diffuser. Nonpathogenic E. coli was exposed to the individual essential oils
for a limited period of time and then incubated. After 24 hours of growth, we quantified the data
using a spectrophotometer and by counting colonies. Out of the plates that grew enough E. coli
to be quantified, the plates exposed to grapefruit oil most closely portrayed the predicted results.
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Running head: THE EFFECT OF ESSENTIAL OILS IN A GASEOUS STATE ON
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The Effect of Essential Oil in a Gaseous State on Escherichia coli
One common belief about aromatherapy, the atomization of water to suspend essential
oils in the air, is that it has antibacterial properties. Although ideally possible, this misconception
lacks the evidence needed to prove its significance. The growing popularity of aromatherapy
sparked our interest in the method’s actual effects. In our experiment, The Effects of Essential
Oils in a Gaseous on Escherichia coli, we test the overall antibacterial properties of seven
essential oils and their effect on E. coli growth using aromatherapy. The seven essential oils we
used, grapefruit, citronella, lemon, oregano, tea tree, cinnamon, and eucalyptus, all had evidence
showing some form of antibacterial resistance. According to Comparative in vitro efficacy of
eight essential oils as antibacterial agents against pathogenic bacteria isolated from pet-turtles
(De Silva, B., Et al., 2018), cinnamon, oregano, and lime all proved to have some form of
antimicrobial properties. When put against pathogenic bacteria, these oils negatively affected the
bacteria. Similar to citronella and eucalyptus oil, grapefruit and lemon essential oils were chosen
because of their prevalence in antibacterial products. The research, In Vitro Evaluation of
Antioxidant and Antimicrobial Activities of Melaleuca Alternifolja Essential Oils (Zhang, X.,
Guo, Y., Guo, L., Jiang, H., & Ji, Q., 2018), primarily tested tea tree oil. Tea tree oil has
antimicrobial properties making it a good choice for our research. The bacteria we chose to test
on was E. coli due to its availability and prevalence in America. Due to its popularity, it was easy
to find and obtain a non-pathogenic sample, making it a good choice for our research. Various
procedures were used throughout the experiment to conduct the research. The first procedure
used was the creation of agar plates. This created a base for the E. coli to be swabbed and grown
on. Another method used was serial dilution. The original E. coli sample was diluted 5 times to
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Running head: THE EFFECT OF ESSENTIAL OILS IN A GASEOUS STATE ON
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create a less concentrated sample of E. coli to swab. Before starting data collection all of the
plates were swabbed with the 1/32 E. coli dilution using 10L inoculating loops. To change the
state of the essential oils a diffuser was used. We used an ultrasonic water diffuser that works by
rapidly vibrating a small disc which then atomizes the water and suspends it in the air along with
the essential oils. One of the main procedures used in our experiment was spectrophotometry, a
method of transmitting light through a solution to determine the concentration. This technique
allowed us to measure the concentration of the 5 dilution samples compared to their light
absorbance. One downside of using a spectrophotometer is that if a plate has over 300 colonies
or less than 30 colonies they are not quantifiable because they are classified as too many to count
(TMTC) and too few to count (TFTC). The plates exposed to tea tree, cinnamon, and eucalyptus
oil all were unquantifiable. Out of the plates that grew enough E. coli to be quantified, the plates
exposed to grapefruit oil most portrayed the predicted results.
Literature Review
In the experiments, Effectiveness of Ginger Essential Oil on Postoperative Nausea and
Vomiting in Abdominal Surgery Patients (Lee, Y. R. & Shin, H. S., 2017) and Effect of
Aromatherapy with Peppermint Oil on the Severity of Nausea and Vomiting in Pregnancy: A
Single-blind, Randomized, Placebo-controlled trial (Joulaeerad, N., Ozgoli, G., Hajimehdipoor,
H., Ghasemi, E., & Salehimoghaddam, F., 2018), aromatherapy was used to alleviate nausea and
vomiting in post-surgical patients and pregnant women. They used ginger and peppermint
essential oil because they claim to help with nausea and are the most well-known for aiding
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Running head: THE EFFECT OF ESSENTIAL OILS IN A GASEOUS STATE ON
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nausea. E. coli mainly targets the digestive system and causes extreme pain and stomach
problems in the people it affects. The scientists involved in Effectiveness of Ginger Essential Oil
on Postoperative Nausea and Vomiting in Abdominal Surgery Patients (Lee, Y. R. & Shin, H. S.,
2017) concluded that the ginger essential oil contained biological components that alleviate
nausea. While Joulaeerad and Et al. (2018) used a single blind clinical trial to test the
effectiveness of peppermint oil, Lee, Y. R. and Shin, H. S. (2017) used 2 control groups in their
experiment to test the effects that the ginger essential oil had. In both experiments, one group
was exposed to the essential oil through inhalation while the other one was exposed to saline to
keep the experiment controlled.
The study, Comparative in vitro efficacy of eight essential oils as antibacterial agents
against pathogenic bacteria isolated from pet-turtles (De Silva, B., Et al., 2018), exposed
different essential oils to pathogenic bacteria gathered from turtles. The scientist that were a part
of this experiment used bacterial assays to measure the bacterial activity of the pathogen after
being exposed to each essential oil. Unlike our experiment, the scientists directly add the
essential oils to the bacteria sample, instead of changing its state of matter. The essential oils
used in this experiment were cinnamon, clove, ginger, lemongrass, lime, lavender, and oregano.
They concluded that out of the 8 essential oils used oregano, clove, and lemongrass were the
most effective against the strain of bacteria they were exposed to.
The research, In Vitro Evaluation of Antioxidant and Antimicrobial Activities of
Melaleuca Alternifolja Essential Oils (Zhang, X., Guo, Y., Guo, L., Jiang, H., & Ji, Q., 2018),
experiments were done on the essential oil to test its overall antimicrobial and antioxidant
activity. Melaleuca Alternifolia, also known as tea tree oil, is claimed to have strong antibacterial
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Running head: THE EFFECT OF ESSENTIAL OILS IN A GASEOUS STATE ON
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properties. When exposed to E. Coli, Melaleuca Alternifolia lessened the growth rate
significantly; therefore, these claims are true. Melaleuca Alternifolia had many biological
components that showed antibacterial properties. The oils used in this experiment were extracted
directly from the plant rather than commercially bought.
The last article, Chemical Composition of Herbal Macerates and Corresponding
Commercial Essential Oils and Their Effect on Bacteria Escherichia coli (Białoń, M., Krzyśko-
Łupicka, T., Pik, A., & Wieczorek, P., 2017), addressed the biological composition of essential
oils on E. coli. Similar to our experiment, the researchers used commercial essential oils rather
than extracting the oils directly from the plants. In this experiment the scientists used the
essential oils in a liquid state when exposing them to the bacteria. They chose to test clove,
oregano, juniper, and marjoram oils. By doing a gas chromatography mass spectrometry analysis
for each essential oil, they were able to figure out all of the components that make up the
essential oils. They concluded that the effectiveness of the essential oils against the bacteria
depended on the ratio of terpenes, terpenoids, and sesquiterpenes along with its antibacterial
activity.
Method
Materials list
2-liter beaker
Nutrient agar powder
Distilled water
Petri dishes
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Agar plates
1. Weigh out 23 grams of nutrient agar powder
2. Add to 1 liter of distilled water in a 2-liter flask
3. Sterilize at 121° C for 20-25 minutes
4. Cool to 50° C
5. Swirl thoroughly to mix agar and nutrients
6. Pour 25-35 ml per petri dish
7. Allow to cool until firm
Materials list
Non-iodized salt
500 ml beaker
Distilled water
Eppendorf tubes
Eppendorf tube stand
Mechanical pipet with pipet tips
Escherichia coli, K-12 Strain, Living, Tube (liquid) from Carolina.com
Serial dilution
1. Put .85g of salt into a 500mL beaker, then fill the beaker up to 100 mL with distilled
water to create the serial dilution solution
2. Place 5 Eppendorf tubes in an Eppendorf tube stand
3. Put 500 microliters of the serial dilution solution into each of the 5 Eppendorf tubes
4. Collect 500 microliters of E. coli with a pipet
5. Extrude the E. coli into the first Eppendorf tube
6. Push the pipet up and down 20 times to fully mix the dilution solution and the E. coli
together
7. Collect 500 microliters from the first Eppendorf tube and repeat step 6 in the second
Eppendorf tube
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8. Collect 500 microliters from the second Eppendorf tube and repeat step 6 in the third
Eppendorf tube
9. Collect 500 microliters from the third Eppendorf tube and repeat step 6 in the fourth
Eppendorf tube
10. Collect 500 microliters from the fourth Eppendorf tube and repeat step 6 in the fifth
Eppendorf tube creating the final dilution of 1/32
Materials list
Sterile inoculating loops
1/32 E. coli serial dilution
Sterile nutrient agar plates
Swabbing plates
1. Dip a sterile inoculating loop into the 1/32 E. coli dilution
2. Take the lid of one petri dish off and using the inoculating loop from step one, swab the
agar starting on one side and zig-zagging to the opposite side
3. Use a new inoculating loop for each plate swabbed
4. After swabbing the plate, place the lids back on
5. Move onto the next procedure immediately
Materials
E. coli swabbed nutrient agar plates
Diffuser
Distilled water
Essential oil
o Lemon (Citrus Limonum)
o Tea tree (Melaleuca Alternifolia)
o Eucalyptus (Eucalyptus Globulus)
o Grapefruit (Citrus Racemose)
o Oregano (Origanum Vulgare L)
o Cinnamon (Cinnamomum Cassia)
o Citronella (Cymbopogon Winterianus)
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Clear plastic box
Sanitizing wipes/spray
Incubator
Timer
Essential oil testing
1. Label three plates as variables for the essential oil being tested
2. Set up the diffuser and put 200 mL of distilled water and 10 drops of the chosen oil into it
3. Place the diffuser and the three swabbed petri dishes onto a sterilized surface and place a
clear box on top of them, refer to figure 1.
4. Turn the diffuser on and let it run for 20 minutes
5. After 20 minutes turn the diffuser off but leave the
plates under the box for 10 minutes
6. After 10 minutes take the plates out and put them in
the incubator at 37° C for 24 hours
7. While completing steps 1-7, label three new plates
Figure 1: 2:
Figure Step 3 setup
Step 3 setup
as controls for the essential oil being tested and place them under a box in a separate
room and leave for 30 minutes
8. After 30 minutes place the controls into the incubator at 37° C
9. Clean the box, table, and diffuser
10. Repeat steps 1-9 for each essential oil being tested
11. After 24 hours take the plates out of the incubator
12. Count the colonies on each of the plates and record
Materials
Venier Spectrophotometer with cuvettes
Smartphone with Bluetooth
Serial dilutions (1, 1/2, 1/4, 1/8, 1/16, 1/32)
Figure 3: Venier Spectrophotometer with a
cuvette in place.
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Spectrophotometer
1. Download the “Spectral Analysis” app on your
smartphone and connect it via Bluetooth to the
Spectrophotometer
2. Fill a cuvette (about 3⁄4 full) with the .85 salt solution
3. Insert the cuvette in the sample chamber, making sure that the clear side of the cuvette is
in the path of the light
4. On the top menu, click on Experiment. Scroll down to calibrate and select Spectrometer 1
5. Wait 60 seconds for the lamp to warm up
6. Click on Finish Calibration and then OK. The spectrophotometer is now calibrated
7. On the top bar, find the Configure Spectrophotometer icon
8. Select Absorbance vs. Concentration as the Collection Mode
9. Below the concentration menu, select Individual Wavelengths
10. Click the box and type 600 nm
11. A graph will appear with concentration on the X-axis and absorbance at 600 on the Y-axis
12. REMOVE the blank cuvette
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st
13. With the cuvette containing the original E. coli solution (1 dilution) in the chamber,
click on Collect on the top menu
14. Wait until a red dot appears on the screen and click on keep on the top bar
15. A menu appears, asking for the concentration of the sample. Use 1 for this dilution
16. Click on KEEP with the1/2 dilution of bacteria, enter .5 for the concentration
17. Click on KEEP with the 1/4 dilution of bacteria, entering .25 for the concentration
18. Click on KEEP with the 1/8 dilution of bacteria, entering .125 for the concentration
19. Click on KEEP with the 1/16 dilution of bacteria, entering .0625 for the concentration
20. Click on KEEP with the 1/32 dilution of bacteria, entering .03125 for the concentration
21. Click Stop on the top bar menu
Data Analysis Number of colonies Number of
bacteria/µL
Table 1: Tea tree
Tea Tree 1 Greater than 300 N/A
The three tea tree variable
Tea Tree 2 Greater than 300 N/A
plates all had over 300 colonies
and the three constants had Tea Tree 3 Greater than 300 N/A
181, 198, and 269 colonies. Tea Tree 4 181 579.2
Tea Tree 5 269 860.8
Tea Tree 6 198 633.6
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The bacteria on the variable plates are not isolated and cover the entire plate. The constants had
an bacteria/µL count of 579.2, 860.8, and 633.6.
Table 2: Grapefruit
The variable plates for
Number of colonies Number of
grapefruit oil had one plate bacteria/µL
with less than 30 colonies, and
Grapefruit 1 Less than 30 N/A
the other two plates grew 34
Grapefruit 2 34 108.8
and 120 colonies. The
Grapefruit 3 120 384.0
constants for grapefruit all
grew over 300 colonies except Grapefruit 4 183 585.6
for one which grew 183. The Grapefruit 5 Greater than 300 N/A
grapefruit variable’s colonies
Grapefruit 6 Greater than 300 N/A
are very small compared to the
constants. Two of the variables had a bacteria per microliter count of 108.8 and 384 and the
constant had a count of 565.6.
Table 3: Lemon
The plates exposed to the
Number of colonies Number of
bacteria/µL
lemon essential oils had one
plate that grew 289 colonies Lemon 1 Greater than 300 N/A
and two that grew over 300 Lemon 2 289 924.8
colonies. Two of the constants
Lemon 3 Greater than 300 N/A
grew over 300 colonies and
Lemon 4 Greater than 300 N/A
Lemon 5 Greater than 300 N/A
Lemon 6 82 262.4
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one of them grew 82 colonies. The lemon variable’s colonies are less dense and a lot smaller than
the constants. The variable had a bacteria/µL count of 924.8 and the constant had 262.4.
One of the oregano constants Table 4: Oregano Number of colonies Number of
bacteria/µL
grew over 300 colonies. The
other two grew 274 and 192 Oregano 1 Greater than 300 N/A
colonies. The plates exposed Oregano 2 205 656.0
to the oregano essential oils Oregano 3 Greater than 300 N/A
grew over 300 colonies except
Oregano 4 274 876.8
for one that grew 205
Oregano 5 292 934.4
colonies. In one of the
Oregano 6 Greater than 300 N/A
oregano’s variable plates the
bacteria are not isolated and covers almost the entire plate. In the other variable plates there are a
few big colonies with a lot of smaller colonies. The variable plate had 656 bacteria/µL while the
constants had 876.8 bacteria/µL and 934.4 bacteria/µL.
Table 5: Cinnamon
All of the cinnamon variable Number of colonies Number of
bacteria/µL
plates were un-quantifiable
Cinnamon 1 Less than 30 N/A
because they grew less than
30 colonies, whereas, one of Cinnamon 2 Less than 30 N/A
the constants grew less than Cinnamon 3 Less than 30 N/A
30 colonies and the other two Cinnamon 4 Greater than 300 N/A
grew 141 colonies and over
Cinnamon 5 141 451.2
300 colonies. The variable
Cinnamon 6 34 108.8
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plates have a few small colonies and they are very small while the constant plates had a lot of big
colonies. The two constants had 451.2 bacteria/µL and 108.8 bacteria/µL.
Two of the eucalyptus
Number of colonies Number of
bacteria/µL
variables had less than 30
colonies while one had over Eucalyptus 1 Less than 30 N/A
300. The eucalyptus constants Eucalyptus 2 Greater than 300 N/A
had 104, 260, and over 300
Eucalyptus 3 Less than 30 N/A
colonies. Two of the variable
Eucalyptus 4 Greater than 300 N/A
plates have small colonies
Eucalyptus 5 260 832.0
randomly along the plate while
one variable plate has many Eucalyptus 6 104 332.8
very small colonies with a few big ones. The constants have a lot of big colonies. The two
constants had 332.8 bacteria/µL and 832 bacteria/µL.
Number of colonies Number of
One of the citronella variables bacteria/µL
had 103 colonies and the other
Citronella 1 Less than 30 N/A
two had less than 30 colonies.
Citronella 2 103 329.6
The citronella constants had
Citronella 3 Less than 30 N/A
48, 87, and over 300 colonies.
One variable plate has a lot of Citronella 4 Greater than 300 N/A
very small colonies and the Citronella 5 87 278.4
other two have very few tiny
Citronella 6 48 153.6
colonies. The constant’s
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colonies are bunched up and are relatively big compared to the variables. The variable hd 329.6
bacteria/µL while the two constants had 278.4 bacteria/µL and 153.6 bacteria/µL.
The absorbance of the .5 dilution is .304. The Dilution Absorbance @ 600
nm
absorbance of the .25 dilution is .161. The
1/2 .304
absorbance of the .125 dilution is .080. The
1/4 .161
absorbance of the .0625 dilution is .049. The
absorbance of the .03125 dilution is .018. 1/8 .080
1/16 .049
1/32 .018
Discussion
In order for bacteria colonies to be quantifiable they have to have between 30-300
colonies. Any plates that have less than 30 colonies do not have enough colonies to provide a
valid sample and any plates that have more than 300 colonies have too many to be accurately
counted. The plates exposed to tea tree oil were not quantifiable because they all grew over 300
colonies. The growth of the variable plates was unlike the growth of the constant plates, though.
Instead of being isolated colonies it was one big grouping of colonies that was impossible to
count. The plates exposed to tea tree oil either over grew because the oil augmented the rate of
growth or because of one or more of our sources of error. The group of plates that had results
most similar the data hypothesized were the plates exposed to grapefruit oil. When compared to
the other oils, the grapefruit sample showed the least amount of growth compared to their
constants that were quantifiable. The lemon essential oil data was very unexpected and was most
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likely caused by our sources of error. The growth was very unusual and we theorize that it was
caused by excess water on the plate that spread the colonies (see figure ). We expected the lemon
essential oil to decrease the growth of the bacteria but it actually caused it to increase compared
to the constants. The cinnamon variable plates worked as expected by decreasing the growth
compared to the constants. Although colony counts less than 30 aren’t quantifiable, we can tell
that the essential oil caused less growth on the plates. Compared to the constant’s growth, the
oregano’s variables had almost no effect. The growth on the variable plates wasn’t that much
different than the constants so we can’t say that it increased growth rate, but it didn’t decrease it.
The data found in Chemical Composition of Herbal Macerates and Corresponding Commercial
Essential Oils and Their Effect on Bacteria Escherichia coli (Białoń, M., Krzyśko-Łupicka, T.,
Pik, A., & Wieczorek, P., 2017) showed that oregano oil had various antibacterial properties, but
in our data the Oregano oil didn’t have the expected effect on the E. coli. This means that
antibacterial properties in the oregano may have lessened when changed from a liquid state to a
gaseous state. Two of the eucalyptus variable plates worked as expected, however, one plate was
an outlier and grew over 300 colonies which was probably caused by a source of error. Since
only two of the plates portray the predicted results we can’t prove that the oil did indeed work
but we can say that there is a strong chance that they were corelated. When looking at the
quantitative data, the citronella didn’t reflect the wanted results because one of the plates grew
103 colonies, but when looking at the qualitative data, the colonies on all of the variable plates
are very small compared to the constant plates. The constant plates didn’t grow as rampant as the
constants for the other oils which means that there was most likely a swabbing error that
occurred. The data for most of the plates swabbed is un-quantifiable and this could be a result
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from the experiment itself or sources of error. The spectrophotometer gave us the absorbance
values from the dilution solutions and prove that the serial dilution truly worked. The absorbance
indirectly shows the concentration by showing how much light was absorbed into the solution, so
the lower the absorbance the lower the concentration.
One source of error that was most likely the cause of overgrowth on the plates was
the forming on condensation on the agar plates. When we swabbed the E. coli, it mixed with the
water droplets already on the plates causing the water and E. coli to mix spreading out the
sample. The spreading of the sample caused the E. coli to not grow isolated colonies resulting in
overgrowth. Another possible source of error was the inoculation loops. When swabbing, the
bacteria wouldn’t always be spread evenly on the agar plates by the inoculating tubes, causing
large amounts of the sample on one part of the plate and smaller portions of the sample on
another part of the plate. This unevenness in plating many have caused large colonies to grow
and to bind together rather than creating even isolated colonies. Another source of error was the
amount of dilutions conducted. Doing 5 dilutions did not dilute the original E. coli sample
enough, causing a lot of the plates to grow more than 300 colonies in a 24-hour time span. The
researches limitations also could have led to the sources of error. One example of a limitation
that was experienced in the research was that not every essential oil could be tested. This limited
our results to the seven essential oils tested, meaning that it is possible that essential oils decrease
or stop the grow of E. coli, but since our experiment was limited to the seven oils tested, we
cannot for sure say that the use of essential oils doesn’t work.
In future research, different essential oils will be used to test their effect. Along
with testing new oils, we might also test previous oils used against different bacteria to get a
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wider range of data. One of the main next steps is to try new methods and procedure when
experimenting, but also to fix the sources of error made in this research. For example. if done
again more dilutions will occur when conducting the serial dilution portion of the experiment.
One of the main errors experienced in the current research was over growth of colonies which
may have been caused by swabbing a sample that was too concentrated. Doing more serial
dilutions will allow for more even and controlled growth of E. coli on the plates. More
background research will also be needed to start any further experimentation, which will allow
us to get a broader and more valid expectation of the results. Overall next steps for this research
project include widening our range of essential oils and bacteria, along with fixing sources of
error, and doing more research.
References
Białoń, M., Krzyśko-Łupicka, T., Pik, A., & Wieczorek, P. (2017). Chemical Composition of Herbal
Macerates and Corresponding Commercial Essential Oils and Their Effect on Bacteria
Escherichia coli. Molecules, 22(11), 1887. doi:10.3390/molecules22111887
De Silva, B., Hossain, S., Wimalasena, S., Pathirana, H., Dahanayake, P., & Heo, G. (2018).
Comparative in vitro efficacy of eight essential oils as antibacterial agents against pathogenic
bacteria isolated from pet-turtles. Veterinární Medicína, 63(No. 7), 335-343.
doi:10.17221/142/2017-vetmed
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Joulaeerad, N., Ozgoli, G., Hajimehdipoor, H., Ghasemi, E., & SAlehimoghaddam, F. (2018). Effect of
Aromatherapy with Peppermint Oil on the Severity of Nausea and Vomiting in Pregnancy: A
Single-blind, Randomized, Placebo-controlled trial. J Reprod Infertil, 19(1).
Lee, Y. R., & Shin, H. S. (2017). Effectiveness of Ginger Essential Oil on Postoperative Nausea and
Vomiting in Abdominal Surgery Patients. The Journal of Alternative and Complementary
Medicine, 23(3), 196-200. doi:10.1089/acm.2015.0328
Reynolds, J. (2011). Counting bacteria. Retrieved from
http://wiki.hackuarium.ch/images/0/09/Bacterial_counts.pdf
Thiel, T. (1999). Nutrient broth, agar plates and slants. Retrieved from
https://www.sciencebuddies.org/science-fair-projects/project_ideas/microbio_nutrientagar.pdf
Zhang, X., Guo, Y., Guo, L., Jiang, H., & Ji, Q. (2018). In Vitro Evaluation of Antioxidant and
Antimicrobial Activities of Melaleuca alternifolia Essential Oil. BioMed Research International,
2018, 1-8. doi:10.1155/2018/2396109