Molecules 30 02451
Molecules 30 02451
1 School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China;
yu77@cdutcm.edu.cn
2 School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China;
1. Introduction
The exploration of medicinal plants has gained significant momentum globally,
driven by their long-established therapeutic history and untapped potential for drug dis-
covery. A central aspect of this effort is the thorough analysis of the chemical composition
of medicinal plants, as their efficacy, safety, and quality are inherently tied to their phyto-
chemical profiles [1]. High-resolution mass spectrometry (HRMS), particularly when com-
bined with ultra-high-performance liquid chromatography (UPLC), has become a corner-
stone technology for analyzing complex plant extracts, facilitating the rapid identification
of both known and novel compounds [2]. However, some limitations remain. For instance,
the peak capacity is limited, making it challenging to fulfill the separation requirements
of chemical components in the complex systems of medicinal plants [3]. Traditional iden-
tification strategies, which rely on chromatographic retention behavior and mass spec-
trometry cleavage rules, are constrained by a limited number of reference substances and
inadequate structural coverage in dedicated databases [4].
Current strategies for LC-MS/MS data processing are typically classified into targeted
and untargeted approaches [5]. Targeted methods rely on predefined compound libraries
and fragmentation pathways, offering high specificity but limited capacity for discovering
novel compounds. In contrast, untargeted methods capture MS/MS spectra for all detect-
able ions, providing a comprehensive chemical profile but resulting in large datasets that
require advanced post-acquisition processing. In recent years, feature-based molecular
networking (FBMN) [6] and ion identity molecular networking (IIMN) have enhanced
metabolite grouping by integrating retention time and admixture data [7]. Additionally,
tools such as SIRIUS 5, powered by deep learning, have increased annotation accuracy
through fragment tree calculations [8]. However, these general strategies remain inade-
quate for highly specific structures. These include excimer ion matching errors, automatic
matching of endogenous cleavage fragments to other components, and the low recogni-
tion accuracy of complex additive ions [9].
Terminalia chebula, known as the “king of Tibetan medicine”, has been used for thou-
sands of years in traditional Chinese and Ayurvedic medicine [10]. T. chebula is used in
the treatment of asthma, bronchitis, hepatitis, dyspepsia, eye diseases, and hoarseness and
to promote hair growth [11]. The flesh of the plant has been used to treat diarrhea, leprosy,
and edema [12]. It improves appetite, reduces cholesterol and blood pressure, strengthens
the immune system, prevents aging, and enhances resistance to infections [13]. In clinical
practice, the therapeutic effects of specific preparations can be tailored to treat various
diseases and optimized by combining them based on distinct cold and heat symptoms
[14]. T. chebula contains a diverse array of chemical constituents, primarily including phe-
nolic acids, tannins, triterpenoids, and flavonoids [15]. In T. chebula, 33% of the total phy-
toconstituents are hydrolysable tannins, with variation between 20 and 50%. These tan-
nins contain phenolic carboxylic acids such as gallic acid, as well as gallotannins. Ellag-
itannins including punacalagin, casuarinin, corilagin, and terchebulin as well as others
such as chebulanin, neochebulinic, chebulagic, and chebulinic acids are also present [16].
However, the chemical complexity of T. chebula poses a unique analytical challenge. Its
ellagic tannins often contain multiple configurations, including HHDP, chebulyl, or neo-
chebulyl groups. Numerous isomers with the same molecular weight exist, and their frag-
ment pathways are complex. Most components still lack systematic annotation, which sig-
nificantly hinders the establishment of quality control standards and the investigation of
the material basis for its efficacy. Therefore, addressing the challenge of component anal-
ysis in T. chebula can reveal the chemical nature of its therapeutic potential and offer in-
sights into the metabolomic analysis of similar complex plants.
To overcome the above limitations, combined with the additive ions that are easily
formed by the T. chebula components and the characteristic fragments, key ion
Molecules 2025, 30, 2451 3 of 32
In summary, the analytical strategy comprises four key steps: (1) acquisition of high-
resolution MS and MS/MS data via UPLC-Q-TOF/MS; (2) creation of a diagnostic ion da-
tabase informed by MS/MS fragments, similar skeletons, and substitution patterns of re-
ported T. chebula compounds; (3) identification of precursor ions and significant fragments
using high-resolution diagnostic ions and neutral loss filtering; and (4) further elucidation
of target compound structures through detailed MS and MS/MS spectral analysis (Figure
2). According to the KID-NLF strategy, a total of 164 components were identified (Figure
3).
Molecules 2025, 30, 2451 5 of 32
Figure 2. Construction of key ion database (A) and the identification of 164 chemical constituents in
T. chebula using the KID-NLF strategy (B). The red dashed box marks components compliant with
the KID strategy, the purple dashed box denotes those not only adhering to the KID strategy but
also aligning with the NLF rules.
Molecules 2025, 30, 2451 6 of 32
Figure 3. The representative base peak intensity (BPI) chromatogram of T. chebula in negative ion
mode. The box and arrow denote the enlarged section.
possibly including HHDP alongside groups such as chebuloyl, neoche, THDP, DHHDP,
Gallagyl, or flavgallonyl (Figure 4). In a similar manner, a diagnostic ion database for T.
chebula ellagic acid compounds was created using the accurate masses of potential deriv-
atives.
Terpenoids typically yield abundant deprotonated molecular ions [M−H]− in the pri-
mary mass spectrometer, with some compounds also producing [2M−H]− ions. Terpe-
noids in T. chebula commonly attach to sugar groups like glucose (Glc), galloyl, and glu-
coheptonic acid via various substitution methods. Aglycone fragments, which are rela-
tively stable, typically lose sugar and galloyl segments (152 Da, 162 Da, 208 Da) under
standard voltage. Analysis of terpenoid cleavage fragments reveals two primary types of
aglycones, 503 Da and 487 Da, each with various configurations. Ultimately, the diagnos-
tic ion database for T. chebula terpenoids was developed using the accurate masses of po-
tential sugar derivatives.
2.3. Chemical Composition Analysis of T. chebula by Key Ion Diagnostics and Neutral Loss
Filtering Using UPLC-Q-TOF/MS
Mass spectrometry analysis of gallic tannin or glucose gallate frequently reveals the
neutral loss of multiple galloyl groups and gallic esters, as evidenced by the observation
of fragments such as [M−H−152]− and [M−H−170]−. These characteristic neutral loss frag-
ments serve as valuable indicators for deducing the molecular structure. Additionally, the
primary mass spectrum typically displays high-intensity [M−2H]2− peaks for macromolec-
ular components containing multiple galloyl groups, while derivatives with fewer galloyl
groups primarily generate [M−H]− or [M+HCOO]− adduct ions. However, misinterpreta-
tion may occur wherein the [M−2H]2− peak is incorrectly identified as [M−H]−, leading to
the misidentification of the true [M−H]− peak as [2M−H]−. To mitigate the potential for
such misjudgments, the secondary mass spectrum is generally employed for confirma-
tion. A comparative analysis of the primary and secondary mass spectra reveals that frag-
ments exhibiting higher intensity in the primary mass spectrum often disappear in the
secondary mass spectrum, indicating their status as [M−2H]2− characteristic peaks. Con-
currently, fragments that exhibit reduced intensity in the secondary mass spectrum can
Molecules 2025, 30, 2451 8 of 32
be more reliably assigned as [M−H]−. This analytical approach significantly enhances the
reliability of structural analysis for the target compound by effectively reducing the risk
of misidentification.
By using the UPLC-Q-TOF/MS instrument, (Waters Corp., Manchester, UK) the T.
chebula extract could be analyzed within 33 min, and the data were processed by KID-
NLF. As a result, a total of 164 compounds were rapidly identified (Figures 2 and 3 and
Table 1). They could be divided into three groups according to their structural types and
MS/MS fragmentation pathways.
Experi- Error
tR
No. Identification Formula mental Adducts (ppm MS/MS Fragment Ions (m/z)
(min)
(m/z) )
663.1391, 271.0435, 211.0234,
1 b,#,♠ 3-O-galloyl-glucose [17] C13H16O10 0.71 331.0662 [M−H]− −0.9
169.0134, 125.0235
2 a,*,♦ Shikimic acid [18] C7H10O5 0.75 173.0445 [M−H] −2.9
− 155.0342, 137.0235, 93.0341
711.0679, 337.0191, 293.0295,
3 a,#,♣ Neochebulic acid [19] C14H12O11 0.76 355.0298 [M−H]− −0.8
249.0401, 205.0497−
711.0682, 337.0194, 293.0297,
4 a,#,♣ Chebulic acid [20] C14H12O11 0.93 355.0303 [M−H]− 0.6
249.0402, 205.0501−
389.0355, 191.0572, 169.0141,
5 b,#,♠ 3-galloylquinic acid [21] C14H16O10 1.05 343.0661 [M−H]− −1.2
125.0240
663.1403, 271.0457 −, 211.0239,
6 a,#,♠ 1-O-galloyl-glucose [22] C13H16O10 1.17 331.0665 [M−H]− 0.0
169.0140, 125.0238
663.1408, 271.0455, 211.0244,
7 a,#,♠ 6-O-galloyl-glucose [20] C13H16O10 1.38 331.0666 [M−H]− 0.3
169.0135, 125.0238
8 a,*,♠ Gallic acid [22] C7H6O5 1.53 169.0139 [M−H]− 1.2 125.0238
663.1407, 271.0455, 211.0244,
9 a,#,♠ 2-O-galloyl-glucose [23] C13H16O10 1.55 331.0665 [M−H]− 0.0
169.0134, 125.0236
463.0544, 300.9984, 275.0194,
10 a,#,♣ Gemin D [20] C27H22O18 1.59 633.0726 [M−H]− −0.3
169.0135, 125.0234
389.0356, 191.0542, 169.0138,
11 b,#,♠ 5-galloylquinic acid [21] C14H16O10 1.72 343.0662 [M−H]− −0.9
125.0236
711.0686, 337.0196, 293.0303,
12 a,#,♣ Isochebulic acid [19] C14H12O11 1.78 355.0299 [M−H]− −0.6
249.0401, 205.0499
13 a,#,♣ Punicalin α [24] C34H22O22 1.78 781.0529 [M−H]− 0.6 600.9893, 448.9792, 300.9988
14 a,#,♣ Punicalin β [24] C34H22O22 1.85 781.0524 [M−H]− −0.4 600.9888, 448.9778, 300.9974
663.1405, 271.0455, 211.0242,
15 a,#,♠ 4-O-galloyl-glucose [23] C13H16O10 1.88 331.06663 [M−H]− −0.6
169.0132, 125.0232
Caffeic acid 3,4-O-Di glucuronide 1063.2059, 355.0307, 337.0200,
16 b,#,♦ C21H24O16 1.93 531.0993 [M−H]− 1.3
[25] 179.0710, 161.0603, 135.0446
709.0888, 687.1402, 389.0350,
17 b,#,♠ 4-galloylquinic acid [21] C14H16O10 2.19 343.0665 [M−H]− 0
191.0535, 169.0132, 125.0238
463.0517, 300.9981, 275.0190,
18 b,#,♣ Isostrictinin [26] C27H22O18 2.19 633.0728 [M−H]− 0.2
169.0136, 125.0235
541.0242, 1065.0491, 1021.0580,
19 a,#,♣ Punicacortein C [20] C48H28O30 2.33 1083.0585 [M−H]− −0.2 600.9891, 499.0722, 300.9983,
169.0136, 125.0235
Molecules 2025, 30, 2451 9 of 32
Arjunolic acid-24-galloyl-28-glu-
155 c,♥ C43H62O14 30.51 801.4060 [M−H]− 1–0.1 639.3539, 487.3427
cose
Arjunolic acid-24-O-glucoheptonic
156 c,♥ C37H60O12 30.57 695.4019 [M−H]− 0.6 487.3432
acid
811.4279, 787.1131, 635.0932,
a,#,♠
1,2,3-tri-O-galloyl-6-O-cinnamoyl-
157 C36H30O19 30.57 765.1310 [M−H]− 0.9 617.0841, 613.1192, 595.1093,
β- D-glucose [20]
443.0975
158 a,#,♥ Arjungenin [40] C30H48O6 31.12 503.3384 [M−H]− 2.2 1007.6838, 549.3438
159 a,#,♥ Madecassic acid [28] C30H48O6 31.56 503.3387 [M−H]− 2.8 1007.6841, 549.3439
160 a,#,♥ 23-galloyl-arjunolic acid [58] C37H52O9 31.71 639.3547 [M−H]− 2.2 487.3378
161 a,#,♥ Terminolic acid [55] C30H48O6 31.77 503.3387 [M−H]− 2.8 1007.6847, 549.3439
162 b,#,♥ Rotundic acid [59] C30H48O5 31.90 487.3437 [M−H]− 2.9 975.6937
163 a,#,♥ Asiatic acid [32] C30H48O5 32.09 487.3438 [M−H]− 3.1 975.6949
164 a,#,♥ Arjunolic acid [18] C30H48O5 32.35 487.3434 [M−H]− 2.3 975.6979
Molecules 2025, 30, 2451 16 of 32
Figure 5. Schematic putative fragmentation pattern of gallotannins. The positions of galloyl groups
on the sugar structure are indicated by numbers in circular shapes of different colors. The number
of galloyl groups in glycoside is shown by red dashed boxes.
The mass spectrum of penta-galloyl glucose (m/z 939) demonstrated a sequential loss
of galloyl groups, resulting in the formation of tetra-galloyl glucose (m/z 787), tri-galloyl
glucose (m/z 635), di-galloyl glucose (m/z 483), and mono-galloyl glucose (m/z 331). Addi-
tionally, the primary intermediate ions observed for di-galloyl glucose and mono-galloyl
glucose were m/z 271 and m/z 211, respectively. These fragment ions were attributed to
the continuous loss of -CHOH groups from the glucose moiety, indicating that mono-
galloyl glucose undergoes fragmentation to yield [M−H−60]− and [M−H−60−60]−.
Based on the number and structure of galloyl and cinnamoyl groups, a series of iso-
mers can be distinguished, and their peaks can be clearly identified. These compounds
are categorized as cinnamoyl-mono-galloyl glucose (136, 140, 142, 144), cinnamoyl-di-gal-
loyl glucose (143, 146, 152), and cinnamoyl-tri-galloyl glucose (157). In the mass spectrum,
cinnamoyl-tri-galloyl glucose (m/z 765) exhibits a gradual loss of the gallic acid compo-
nent, leading to the formation of cinnamoyl-di-galloyl glucose (m/z 595), cinnamoyl-
mono-galloyl glucose (m/z 425), and cinnamoyl glucose (m/z 255) (Figure 6). Additionally,
characteristic diagnostic ions of m/z 169, attributed to gallic acid, are observed in the mass
spectrometry analysis. Ion fragments of m/z 125 are generated through the neutral loss of
carboxyl groups (CO2, Δm = 44), while m/z 103 is formed by the loss of carboxyl groups
(CO2, Δm = 44) from cinnamic acid, serving as a distinctive fragment for cinnamic acid.
Molecules 2025, 30, 2451 18 of 32
For the position isomers, the calculated lipophilicity parameter (ClogP) was used to esti-
mate the retention time of isomers in the reversed-phase column as the basis for differen-
tiation. Generally, compounds with a larger ClogP value would retain longer. The struc-
tures of these isomers were ultimately assigned by combining peak times with calculated
ClogP values (Table S1).
Figure 6. Schematic putative fragmentation pattern of galloyl derivatives of cinnamic acid. The po-
sitions of galloyl groups on the sugar structure are indicated by numbers in circular shapes of dif-
ferent colors. The number of galloyl groups in glycoside is shown by red dashed boxes.
Another type of simple galloyl ester is formed by the combination of gallic acid and
shikimic acid. Based on the number of galloyl groups, these compounds can be catego-
rized as mono-galloyl shikimic acid, di-galloyl shikimic acid, and tri-galloyl shikimic acid.
In this study, a total of seven related compounds were identified and classified according
to the number of galloyl groups connected to shikimic acid, including mono-galloyl shi-
kimic acid (22, 25, 26), di-galloyl shikimic acid (48, 61, 65), and tri-galloyl shikimic acid
(99). Prominent characteristic fragment ions were observed in the mass spectrum through
the sequential elimination of galloyl and shikimic acid moieties. Tri-galloyl shikimic acid
(m/z 629) demonstrated continuous mass loss of the galloyl moiety, leading to the for-
mation of di-galloyl shikimic acid (m/z 477) and mono-galloyl shikimic acid (m/z 325). A
fragment ion of m/z 169 was detected for all components and identified as [M−H]− of gallic
acid, resulting in a fragment of m/z 125 through the neutral loss of a carboxyl group (CO2,
Δm = 44). In addition, fragment ions of m/z 155 and m/z 137 were attributed to the loss of
water molecules (H2O, Δm = 18) from shikimic acid. Similarly, further removal of the car-
boxyl group (CO2, Δm = 44) after water loss resulted in fragment ions of m/z 111 and m/z
Molecules 2025, 30, 2451 19 of 32
93, which are considered characteristic fragments of shikimic acid. Finally, by analyzing
the arrangement of galloyl groups at different positions on shikimic acid, a series of iso-
mers was identified (Figure 7). The assignment of each peak was determined by examin-
ing peak times and ClogP values (Table S1).
Figure 7. Schematic putative fragmentation pattern of galloyl derivatives of shikimic acid. The po-
sitions of galloyl groups on the shikimic acid structure are indicated by numbers in circular shapes
of different colors. The number of galloyl groups in shikimic acid is shown by red dashed boxes.
The final type of simple galloyl ester is formed by the combination of gallic acid and
quinic acid. This compound typically produces a characteristic fragment at m/z 191. While
components with two or three galloyl groups combined with quinic acid may exist, none
were identified in this study. A total of three isomers of mono-galloyl quinic acid were
identified. In the primary mass spectrum, peaks 5, 11, and 17 all displayed ion peaks at
m/z 389 and m/z 343. Notably, the intensity of peak 17 was significantly higher than that
of peaks 5 and 11, approximately five times greater. Additionally, peak 17 presented frag-
ments at m/z 709 and m/z 687. In the secondary mass spectrum, the ion peak intensities of
m/z 709, m/z 687, and m/z 389 were all reduced. Based on these observations, it was con-
cluded that m/z 709 corresponds to the [2M+Na−2H]⁻ ion peak, m/z 687 corresponds to the
[2M−H]⁻ ion peak, and m/z 389 represents the adduct ion [M+HCOO]⁻, with the
Molecules 2025, 30, 2451 20 of 32
corresponding molecular formula being C16H14O10. Fragment ion peaks of m/z 191 [quinic
acid−H]⁻ and m/z 169 [gallic acid−H]⁻ can be generated through the neutral loss of quinic
acid or gallic acid. By incorporating relevant literature, the order of the peaks was further
clarified, leading to the identification of peak 5 as 3-galloyl quinic acid, peak 11 as 5-galloyl
quinic acid, and peak 17 as 4-galloyl quinic acid.
2.3.2. Ellagitannins
Ellagitannins are a significant class of polyphenolic compounds containing one or
more hexahydroxydiphenoyl (HHDP) groups or their oxidized forms, such as dehydro-
hexahydroxydiphenoyl (DHHDP) and chebuloyl (Che). Upon hydrolysis, they yield sta-
ble ellagic acid. In negative ion mode, ellagic acid tannins exhibit characteristic fragment
ion losses, including HHDP (302 Da), DHHDP (318 Da), and chebuloyl (320 Da) (Figure
4).
(m/z 635), which then fragments following the cleavage pathway typical for tri-galloyl
glucose. Similarly, mono-galloyl-HHDP glucose and di-galloyl-HHDP glucose exhibit
comparable fragmentation patterns. Additionally, this class of compounds also produces
a characteristic fragment at m/z 275, primarily generated by the elimination of the HHDP
group, followed by the loss of a galloyl group and subsequently glucose.
complex and varied, potentially including HHDP along with other groups such as
chebuloyl, neoche, THDP, DHHDP, Gallagyl, or flavogallonyl. Different components can
be distinguished and identified based on the characteristic neutral loss of these groups
and their related fragments.
In mass spectrometry, peaks 19, 20, 31, 43, and 84 display identical ions at m/z 541
and 1083 in the primary mass spectrum. The m/z 541 ion disappears in the secondary mass
spectrum and is identified as [M−2H]2⁻, while m/z 1083 is identified as the [M−H]⁻ ion with
the molecular formula C48H28O30. The secondary mass spectrum reveals that these com-
pounds generate major fragment ions at m/z 601 [M−H−HHDP−glucose]⁻ and m/z 300 [el-
lagic acid−H]⁻, indicating significant neutral losses of HHDP and glucose. Peaks 19 and 20
also exhibit characteristic fragments at m/z 451 [Flavogallonic acid−H−H2O]⁻. Peak 19 is
identified as Punicacortein C and peak 20 as Punicacortein D based on the literature com-
parison. Peaks 31 and 43 are characterized by m/z 781 [M−H−HHDP]⁻ fragments. The re-
tention time and fragmentation pathway of peaks 31 and 43 were confirmed to correspond
to Punicalagin-α and Punicalagin-β; the fragmentation pathway of Punicalagin is showed
in Figure 8. Peak 84 is also characterized by m/z 449 [M−H−HHDP−glucose−galloyl]⁻, iden-
tified as T. chebula based on its retention time. The ions at m/z 542 and 1085 are observed
in the primary mass spectrum, while m/z 542 disappears in the secondary spectrum. These
are identified as [M−2H]2⁻ and m/z 1085 as [M−H]⁻ with the molecular formula C48H30O30.
Through the loss of HHDP and galloyl groups, the fragment ions m/z 783 [M−H−HHDP]⁻,
m/z 631 [M−H−HHDP−galloyl]⁻, and characteristic fragments at m/z 451 [Flavogallonic
acid−H−H2O]⁻ are generated. Based on ClogP values (Table S1) and the literature, peak 34
was identified as Rhoipteleanin G and peak 46 as Terflavin A. The ions at m/z 494 and 989
are observed in the primary mass spectrum, while m/z 494 disappears in the secondary
spectrum. These ions are identified as [M−2H]2⁻ and m/z 989 as [M−H]⁻, with the molecular
formula C41H34O29. The compound first loses a neoche group, forming the m/z 651
[M−H−neoche]⁻ fragment, and then loses a gallic acid to generate the m/z 481 [M−H−neo-
che−gallic acid]⁻ fragment. The characteristic fragment at m/z 337 [neochebulic
acid−H−H2O]⁻ is generated, and peak 58 is identified as Carpinusnin.
Molecules 2025, 30, 2451 23 of 32
Peaks 64, 67, 70, 74, 79, 87, 101, 109, 118, and 121 display ions at m/z 485 and 971 in
the primary mass spectrum. The m/z 485 ion disappears in the secondary mass spectrum,
while m/z 971 is identified as an [M−H]⁻ ion with the molecular formula C41H32O28. These
compounds are detected in the secondary mass spectrum through the loss of groups such
as gallic acid, HHDP, and neoche. The fragment ions observed include m/z 801 [M-H-
170]⁻, m/z 669 [M−H−302]⁻, m/z 633 [M−H−338]⁻, m/z 499 [M−H−170−302]⁻, m/z 463
[M−H−338–302]⁻, m/z 337 [neochebulic acid−H−H2O]⁻, and m/z 301 [ellagic acid−H]⁻. Based
on the chemical structure of components in Terminalia chebula, HHDP is likely attached to
the 3,6, 4,6, or 2,3 hydroxyl groups of glucose, while neoche groups generally do not attach
to the 1-hydroxyl group of glucose. Using ClogP values (Table S1) to assess polarity, the
following isomer structures were inferred and confirmed: Peak 64 corresponds to 4-gal-
loyl-6-neoche-2,3-HHDP-glucose and peak 67 to 1-galloyl-2-neoche-4,6-HHDP-glucose.
Peak 70 is identified as 1-galloyl-3-neoche-4,6-HHDP-glucose and peak 74 as 1-galloyl-2-
neoche-3,6-HHDP-glucose. Peak 79 corresponds to 1-galloyl-4-neoche-3,6-HHDP-glucose
and peak 87 to 1-galloyl-4-neoche-2,3-HHDP-glucose. Peak 101 is identified as 2-galloyl-
3-neoche-4,6-HHDP-glucose and peak 109 as 1-galloyl-6-neoche-2,3-HHDP-glucose. Peak
118 corresponds to 2-galloyl-4-neoche-3,6-HHDP-glucose and peak 121 to 6-galloyl-4-ne-
oche-2,3-HHDP-glucose.
In the primary mass spectrum, the ion signal at m/z 953 was observed in peaks 86, 90,
95, 105, 119, and 131, while the ion at m/z 476 was detected in peaks 86, 90, 95, 105, 119,
and 123, but not at peak 131. In the secondary mass spectrum, the signal at m/z 476 disap-
peared. Thus, m/z 476 was inferred to be the [M−2H]2⁻ ion peak, and m/z 953 was identified
as the [M−H]⁻ ion peak. The molecular formula was determined to be C41H30O27. Further
Molecules 2025, 30, 2451 24 of 32
analysis of the secondary mass spectrum indicates that the fragment patterns of peaks 86,
90, 95, 105, 119, and 123 are very similar. The main fragment ions observed include m/z
783 [M−H−170]⁻, m/z 651 [M−H−302]⁻, m/z 633 [M−H−320]⁻, m/z 481 [M−H−302−170]⁻, m/z
463 [M−H−320−170]⁻, m/z 337 [chebuloyl−H]⁻, m/z 331 [M−H−320−302]⁻, m/z 319
[M−H−302−170−162]⁻, and m/z 301 [ellagic acid−H]⁻. These fragment ions primarily result
from the loss of groups such as gallic acid, chebuloyl, HHDP, and glucose. Based on the
fragment ion information, six isomers were identified. Peak 105 was identified as chebu-
lagic acid by comparing its retention time and intensity with those of a reference standard;
the fragmentation pathway of chebulagic acid is showed in Figure 9. By assessing the po-
larity of each peak using ClogP values (Table S1), the following structures were assigned:
Peak 86 corresponds to 1-O-galloyl-3,4-chebuloyl-2,6-HHDP-D-glucose, and peak 90 cor-
responds to 1-O-galloyl-3,6-chebuloyl-2,4-HHDP-D-glucose. Peak 95 was assigned as 1-
O-galloyl-4,6-chebuloyl-3,3-HHDP-D-glucose and peak 119 as 1-O-galloyl-2,6-chebuloyl-
3,4-HHDP-D-glucose. Peak 123 was assigned as 1-O-galloyl-2,3-chebuloyl-4,6-HHDP-D-
glucose. The secondary fragments of peak 131 mainly include m/z 935.0799 [M−H−H2O]⁻,
m/z 917.0695 [M−H−2H2O]⁻, m/z 635.0896 [M−H−DHHDP]⁻, m/z 617.0781 [M−H−H2O−
DHHDP]⁻, m/z 465.0671 [M−H−DHHDP−gallic acid]⁻, and m/z 316.9932 [DHHDP−H]⁻. The
loss of DHHDP (318 Da) is the main neutral loss characteristic of the compound, suggest-
ing that peak 131 is terchebin.
Peaks 113 and 115 display identical ions at m/z 492 and 985 in the primary mass spec-
trum. The m/z 492 ion disappears in the secondary mass spectrum, indicating that m/z 492
corresponds to the [M−2H]2⁻ ion, while m/z 985 is the [M−H]⁻ ion, with the molecular for-
mula determined as C42H34O28. In the secondary mass spectrum, fragment ions were ob-
served at m/z 815 [M−H−170]⁻, m/z 683 [M−H−302]⁻, m/z 633 [M−H−352]⁻, m/z 513
[M−H−302−170]⁻, m/z 463 [M−H−352−170]⁻, m/z 351 [6′-O-methyl neochebulic acid-H2O-
Molecules 2025, 30, 2451 25 of 32
H]⁻, and m/z 301 [ellagic acid−H]⁻. These ions are generated through the sequential loss of
gallic acid, HHDP, and 6′-O-methyl neochebuloyl. Based on the location of the galloyl
group, two isomers were deduced, and their polarity was determined using ClogP values
(Table S1). Peak 113 corresponds to 1-O-galloyl-3,6-HHDP-4-6′-methyl neochebuloyl-glu-
cose, while peak 115 corresponds to 2-O-galloyl-3,6-HHDP-4-6′-methyl neochebuloyl-glu-
cose.
Peaks 89, 93, 96, 103, 116, and 133 display identical ions at m/z 462 and 925 in the
primary mass spectrum. The ion at m/z 462 disappears in the secondary mass spectrum,
indicating that it corresponds to the [M−2H]2⁻ ion, while m/z 925 is assigned to the [M−H]⁻
ion. The molecular formula is determined to be C40H30O26. In the secondary mass spec-
trum, fragment ions were observed at m/z 773 [M−H−152]⁻, m/z 633 [M−H−292]⁻, m/z 481
[M−H−292−152]⁻, and m/z 465 [M−H−292−170]⁻, resulting from the sequential loss of gal-
loyl, THDP, and other groups. Based on the positions of the galloyl and THDP groups, six
isomers were deduced, and their polarity was determined using ClogP values (Table S1).
Peak 89 was identified as 1-O-galloyl-3,4-THDP-2,6-HHDP-D-glucose. Peak 93 was iden-
tified as 1-O-galloyl-2,4-THDP-6,6-HHDP-D-glucose (Phyllanthusiin C) and peak 96 as 1-
O-galloyl-3,6-THDP-2,4-HHDP-D-glucose. Peak 103 was identified as 1-O-galloyl-4,6-
HHDP-2,3-HHDP-D-glucose, while peak 116 was identified as 1-O-galloyl-2,3-HHDP-4,6-
HHDP-D-glucose. Peak 133 was identified as 1-O-galloyl-2,6-HHDP-3,4-HHDP-D-glu-
cose.
2.3.3. Terpenoids
Terpenoids generate abundant deprotonated molecular ions [M−H]⁻ in primary mass
spectrometry, with some also forming [2M−H]⁻ ions. These characteristics facilitate the
identification of excimer ions and the determination of their molecular formulas. The sap-
onins in Terminalia chebula are typically linked to glucose (Glc), galloyl, and glucoheptonic
acid through various substitution patterns. Aglycone fragments are relatively stable, pri-
marily losing sugar and galloyl fragments (152, 162, 208 Da) under normal voltages. By
analyzing the fragment ions of saponins, aglycones can be classified into 503 Da and 487
Da groups, each with multiple core configurations.
Peaks 139, 149, and 153 exhibit a high-intensity ion signal at m/z 711 in the primary
mass spectrum, identified as the [M−H]⁻ ion peak corresponding to the molecular formula
C37H60O13. In the secondary mass spectrum, the fragment at m/z 503 [M−H−208]⁻ displayed
a high-intensity signal, suggesting that it resulted from the loss of glucoheptonic acid.
Based on the saponin characteristics, the fragment at m/z 503 is attributed to the loss of
glucoheptonic acid. Peak 139 was identified as Arjungenin-24-O-glucoheptonic acid, and
peak 149 as Madecassic acid-24-O-glucoheptonic acid. Peak 153 was identified as Ter-
minolic acid-24-O-glucoheptonic acid. Peaks 141, 145, and 147 exhibit strong ion signals
at m/z 817 in the primary mass spectrum. Combined with secondary mass spectrometry,
m/z 817 is identified as the [M−H]⁻ ion peak, corresponding to the molecular formula
C43H62O15. The secondary mass spectrum reveals intense fragment ions at m/z 655
[M−H−162]⁻ and m/z 503 [M−H−162−152]⁻, likely resulting from the loss of glucose and
galloyl groups, as indicated by the characteristic fragments at m/z 503. Peak 141 was iden-
tified as Quercotriterpenoside I (Arjungenin-24-galloyl-28-glucose), peak 145 as
Madecassic acid-24-galloyl-28-glucose, and peak 147 as Terminolic acid-24-galloyl-28-glu-
cose. Peaks 158, 159, and 161 exhibit similar ion signals at m/z 503, 549, and 1007 in the
primary mass spectrum. The m/z 1007 peak is identified as the [2M−H]⁻ ion, while the m/z
549 peak corresponds to the [M+HCOO]⁻ ion, with a molecular formula of C30H48O6. Peak
158 was identified as Arjungenin, peak 159 as Madecassic acid, and peak 161 as Terminolic
acid.
Molecules 2025, 30, 2451 26 of 32
Peaks 148, 151, and 155 appear as [M−H]⁻ ion peaks at m/z 801, corresponding to the
molecular formula C43H62O14. The intense fragments at m/z 639 [M−H−162]⁻ and m/z 487
[M−H−162−152]⁻ in the secondary mass spectrum suggest that the characteristic fragments
at m/z 487 result from the loss of glucose and gallic acid groups. Peak 148 was identified
as Rotundic acid-24-galloyl-28-glucose and peak 151 as Asiatic acid-24-galloyl-28-glucose.
Peak 155 was identified as Arjunolic acid-24-galloyl-28-glucose. Peaks 150, 154, and 156
all appear as [M−H]⁻ ion peaks at m/z 695, with the molecular formula identified as
C37H60O12. In the secondary mass spectrum, an intense fragment at m/z 487 [M−H−208]⁻
was observed, which was attributed to the loss of glucoheptonic acid. Peak 150 was iden-
tified as Rotundic acid-24-O-glucoheptonic acid. Peak 154 was identified as Asiatic acid-
24-O-glucoheptonic acid and peak 156 as Arjunolic acid-24-O-glucoheptonic acid. Peak
160 exhibits a strong ion signal at m/z 639, corresponding to the molecular formula
C37H52O9. In the secondary mass spectrum, a fragment at m/z 487 [M−H−152]⁻ was de-
tected, attributed to the loss of a galloyl group. Peak 160 was identified as 23-galloyl-arju-
nolic acid. Peaks 162, 163, and 164 show ion peaks at m/z 487 and 975 in the primary mass
spectrum. The m/z 975 peak is identified as the [2M−H]⁻ ion, while m/z 487 corresponds to
the [M−H]⁻ ion, with a molecular formula of C30H48O5. Peak 162 was identified as Rotundic
acid. Peak 163 was identified as Asiatic acid and peak 164 as Arjunolic acid.
3. Experimental
3.1. Chemicals, Reagents, and Plant Materials
Deionized water was prepared using a Millipore Q purification system (Rephile,
Shanghai, China). HPLC-grade acetonitrile, methanol, and formic acid were obtained
from Sigma-Aldrich (Milwaukee, WI, USA). The crude medicinal materials derived from
dried, pitted mature fruits of T. chebula were procured from Chengdu in 2023. The author
identified these materials, and the specimens were deposited in the laboratory of the au-
thor. Reference products including shikimic acid (2), gallic acid (8), punicalagin α (31),
punicalagin β (43), corilagin (71), ellagic acid (88), chebulagic acid (105), chebulinic acid
(127), and 1,2,3,4,6-penta-O-galloyl-β-D-glucose (130) were purchased from Yuanye
(Shanghai, China), with purity exceeding 98% as determined by HPLC analysis.
number m/z 554.2615. Data processing was conducted using MassLynx V4.2 and UNIFI
software (Version 1.9) from Waters Corporation, Milford, MA, USA.
4. Conclusions
In conclusion, a post-acquisition LC-MS data processing strategy, key ion diagnos-
tics–neutral loss filtering (KID-NLF), can effectively identify the structure of the natural
products responsible for the herbal extract. In this study, a total of 164 compounds were
identified by UPLC-Q-TOF/MS technique and KID-NLF strategy screening in 33 min run-
ning time, 47 of which were reported for the first time. This study provides a powerful
strategy for rapid profiling of chemical constituents of herbal medicines.
Author Contributions: J.Y.: writing—original draft preparation, drawing preparation, table ar-
rangement; X.Z.: drawing preparation, table arrangement; Y.H.: drawing preparation, table ar-
rangement; Y.Z.: funding acquisition, conceptualization, supervision. C.T.: conceptualization, writ-
ing—review and editing, supervision. All authors have read and agreed to the published version of
the manuscript.
Funding: The authors gratefully acknowledge the financial support from the National Key Research
and Development Program of China (No. 2023YFC3504400, 2023YFC3504401, 2023YFC3504402), the
Natural Science Foundation of Sichuan Province (2025ZNSFSC1821), and the “Xinglin Scholars”
Program of Chengdu University of TCM (CCYB2022009).
Data Availability Statement: The datasets used and/or analyzed during the current study are avail-
able from the corresponding author on reasonable request.
Conflicts of Interest: The authors declare that they have no competing financial interests or personal
relationships that may have influenced the work reported in this study.
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