1.Comprehensive application of fingerprint studies, content determination, and chemometrics to identify geo-markers of Chuanxiong Rhizoma.
Meng-Yuan WU ; Cheng PENG ; Chun-Wang MENG ; Juan-Ru LIU ; Qin-Mei ZHOU ; Ou DAI ; Liang XIONG
China Journal of Chinese Materia Medica 2025;50(1):152-171
This study established a high performance liquid chromatography(HPLC) fingerprint of Chuanxiong Rhizoma from different producing areas and screened its potential differential components for producing areas by chemometrics. Furthermore, the content of the above differential components in Chuanxiong Rhizoma from different producing areas was measured and compared. Then, the geoherbalism markers(geo-markers) that can be used to distinguish Dao-di and non-Dao-di Chuanxiong Rhizoma were excavated by chemometrics. In fingerprint studies, a total of 27 common peaks were determined, and the fingerprint similarity for 37 batches of Chuanxiong Rhizoma samples from different producing areas was above 0.968. The orthogonal partial least squares-discriminant analysis(OPLS-DA) was capable of distinguishing Chuanxiong Rhizoma from Sichuan and from three other provinces, as well as Dao-di Chuanxiong Rhizoma(from Dujiangyan) and non-Dao-di Chuanxiong Rhizoma(from other producing areas) in Sichuan province. Meanwhile, 14 potential differential components in Chuanxiong Rhizoma from different provinces and 16 potential differential components in Chuanxiong Rhizoma from different producing areas in Sichuan were screened by the variable importance in projection(VIP) analysis under OPLS-DA. The reference standards were used to identify 10 potential differential components in the common peaks, and subsequent content determination verified that the content of the above 10 potential differential components was different among different producing areas. Then, the OPLS-DA and VIP analysis were performed with the content of the 10 potential differential components as variables. The results showed that Z-ligustilide, chlorogenic acid, and the ratio of butylidenephthalide/senkyunolide A were the geo-markers that can distinguish Chuanxiong Rhizoma from Sichuan and Chuanxiong Rhizoma from Shaanxi, Hebei, and Jiangxi, while Z-ligustilide, n-butylphthalide, and the ratios of Z-ligustilide/senkyunolide A and butylidenephthalide/senkyunolide A were the geo-markers that can distinguish Dao-di Chuanxiong Rhizoma(from Dujiangyan) and non-Dao-di Chuanxiong Rhizoma(from other producing areas) in Sichuan province. This study elucidated the differences in material basis of Dao-di and non-Dao-di Chuanxiong Rhizoma based on fingerprinting and content determination combined with chemometrics, which provides a reference for the study of material basis of Dao-di traditional Chinese medicine.
Drugs, Chinese Herbal/chemistry*
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Rhizome/chemistry*
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Chromatography, High Pressure Liquid/methods*
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Chemometrics/methods*
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Quality Control
2.A method for quality control of Angelicae Dahuricae Radix derived from different plants based on UPLC characteristic fingerprints, chemometrics, and QAMS.
Tian-Hua DUAN ; Rong-Rong XU ; Rui LI ; Chu-Han ZHANG ; Xin-Guo WANG ; Wei FENG
China Journal of Chinese Materia Medica 2025;50(4):1051-1062
The ultra-high performance liquid chromatography( UPLC) characteristic fingerprints of Angelica dahurica and A. dahurica var. formosana were established. The compounds corresponding to common peaks were identified by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry( UPLC-Q-TOF-MS/MS). The results were combined with chemometrics and quantitative analysis of multi-components with a single-marker method(QAMS) to study the quality control of A. dahurica and A. dahurica var. formosana. The separation was performed on a Titank C_(18) column(2. 1 mm × 150 mm, 1. 8 μm)with a mobile phase of acetonitrile-0. 2% formic acid at a flow rate of 0. 3 m L·min~(-1). The column temperature was 35 ℃ and the injection volume was 1. 2 μL. Seven batches of A. dahurica and 11 batches of A. dahurica var. formosana were injected and analyzed. The UPLC characteristic fingerprints of A. dahurica and A. dahurica var. formosana were established according to the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine( version 2012), and 19 and 20 characteristic peaks were matched respectively. The common peaks were identified by reference substance comparison and UPLC-Q-TOF-MS/MS. Cluster analysis(CA), principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA)were performed to analyze the chemical pattern recognition of A. dahurica and A. dahurica var. formosana. The results of CA and PCA could distinguish Angelicae Dahuricae Radix from different producing areas, and the differential quality markers of A. dahurica and A. dahurica var. formosana were obtained by OPLS-DA. With imperatorin as the internal reference, the relative correction factors of oxypeucedanin hydrate, byakangelicin, bergapten, isopimpinellin, oxypeucedanin, and isoimperatorin were 1. 310, 1. 069, 0. 729, 0. 633, 0. 753, and 1. 010, respectively. There was no significant difference between the QAMS and external standard method(ESM)results of each component, indicating that the QAMS established with imperatorin as the internal reference was accurate and reliable. The characteristic fingerprints, chemometrics, and QAMS established in this study can quickly and efficiently control the quality of A. dahurica and A. dahurica var. formosana.
Quality Control
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Chromatography, High Pressure Liquid/methods*
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Drugs, Chinese Herbal/chemistry*
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Angelica/chemistry*
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Chemometrics/methods*
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Tandem Mass Spectrometry/methods*
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Principal Component Analysis
3.Quality evaluation of Commelina communis medicinal materials from different origins based on content of four alkaloid components combined with chemometrics.
Bi-Ru FU ; Wei-Jie ZHUO ; Xuan-Xiu HUANG ; Peng-Cong LU ; Xin HE ; Rui-Feng JI
China Journal of Chinese Materia Medica 2025;50(9):2422-2431
This study employs ultra-performance liquid chromatography(UPLC) to analyze the differences in alkaloid content of Commelina communis from various geographical origins, exploring its feasibility as a quality evaluation indicator. A total of 57 batches of C. communis samples from 23 provinces, autonomous regions, and municipalities in China were selected. The MicroPulite HSS T3(2.1 mm×50 mm, 1.8 μm)column was used with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(20∶80), detection wavelength at 254 nm, and a flow rate of 0.3 mL·min~(-1) to measure the content of 1-deoxynojirimycin(DNJ) and deoxymannojirimycin(DMJ). The MicroPulite XP tC_(18)(2.1 mm×100 mm, 1.7 μm)column was employed with a mobile phase of acetonitrile-0.2% phosphoric acid aqueous solution(4∶96), detection wavelength at 254 nm, and a flow rate of 0.4 mL·min~(-1) to measure the content of norharmine(NHM) and harmanme(HM). Chemometric methods were applied to study the relationships and differences among the 57 batches of C. communis. Significant differences in alkaloid content were observed among C. communis from different regions, with the average total content decreasing in the order of North China, Northeast China, Northwest China, East China, Southwest China, Central China, and South China. Cluster analysis(CA) and principal component analysis(PCA) further revealed the quality differences of C. communis from various origins, and partial least squares discriminant analysis(PLS-DA) identified DNJ as a marker compound to distinguish the quality differences between different geographical sources of C. communis. It is recommended that the content limit of DNJ be set at no less than 0.055 9%, providing a reference for the quality evaluation and clinical application of C. communis medicinal materials.
Alkaloids/analysis*
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Drugs, Chinese Herbal/chemistry*
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China
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Chromatography, High Pressure Liquid
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Chemometrics/methods*
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Quality Control
4.Optimal harvesting period of cultivated Notopterygium incisum based on HPLC specific chromatogram combined with chemometrics and entropy weight-gray correlation analysis.
Jing-Cheng WANG ; Hong-Bing SUN ; Teng LIU ; Wen-Tao ZHU ; Hong-Lan WANG ; Yi ZHOU ; Wei-Yan WANG ; Ping YANG ; Shun-Yuan JIANG
China Journal of Chinese Materia Medica 2025;50(14):3878-3886
To determine the optimal cultivation duration and harvest period for cultivated Notopterygium incisum and promote its industrial development, this study established a characteristic chromatographic profile of cultivated N. incisum and employed chemometrics combined with entropy-weighted grey correlation analysis to assess differences in agronomic traits and quality indicators across different cultivation years and harvest periods. By comparing with reference substances, ten common peaks were identified, including chlorogenic acid, p-coumaric acid, ferulic acid, marmesinin, nodakenin, isochlorogenic acid B, notopterol, phenethyl ferulate, isoimperatorin, and falcarindiol. The similarity between the characteristic chromatographic profiles of N. incisum at different cultivation years and the reference profile was all above 0.932. Principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) revealed that the quality of 1-to 3-year-old cultivated N. incisum was highly dispersed and unstable, whereas the quality of 4-year-old cultivated N. incisum remained relatively stable across different harvest periods. This suggests that the accumulation of relevant compounds in the medicinal material had reached a plateau, confirming that the optimal cultivation period for N. incisum is four years. Entropy-weighted grey correlation analysis indicated that the quality of 4-year-old cultivated N. incisum across different harvest periods ranked from highest to lowest as follows: November, December, October, August, July, and September, demonstrating that November is the optimal harvest time. The findings of this study establish the suitable cultivation duration and optimal harvest period for N. incisum, providing a scientific basis for cultivation guidance and quality standardization.
Chromatography, High Pressure Liquid/methods*
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Apiaceae/chemistry*
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Entropy
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Chemometrics/methods*
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Drugs, Chinese Herbal/chemistry*
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Principal Component Analysis
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Quality Control
5.Comparison on chemical components of Angelicae Sinensis Radix before and after wine processing by HS-GC-IMS, HS-SPME-GC-MS, and UPLC-Q-Orbitrap-MS combined with chemometrics.
Xue-Hao SUN ; Jia-Xuan CHEN ; Jia-Xin YIN ; Xiao HAN ; Zhi-Ying DOU ; Zheng LI ; Li-Ping KANG ; He-Shui YU
China Journal of Chinese Materia Medica 2025;50(14):3909-3917
The study investigated the intrinsic changes in material basis of Angelicae Sinensis Radix during wine processing by headspace-gas chromatography-ion mobility spectrometry(HS-GC-IMS), headspace-solid phase microextraction-gas chromatography-mass spectrometry(HS-SPME-GC-MS), and ultra-high performance liquid chromatography-quadrupole-orbitrap mass spectrometry(UPLC-Q-Orbitrap-MS) combined with chemometrics. HS-GC-IMS fingerprints of Angelicae Sinensis Radix before and after wine processing were established to analyze the variation trends of volatile components and characterize volatile small-molecule substances before and after processing. Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were employed for differentiation and difference analysis. A total of 89 volatile components in Angelicae Sinensis Radix were identified by HS-GC-IMS, including 14 unsaturated hydrocarbons, 16 aldehydes, 13 ketones, 9 alcohols, 16 esters, 6 organic acids, and 15 other compounds. HS-SPME-GC-MS detected 118 volatile components, comprising 42 unsaturated hydrocarbons, 11 aromatic compounds, 30 alcohols, 8 alkanes, 6 organic acids, 4 ketones, 7 aldehydes, 5 esters, and 5 other volatile compounds. UPLC-Q-Orbitrap-MS identified 76 non-volatile compounds. PCA revealed distinct clusters of raw and wine-processed Angelicae Sinensis Radix samples across the three detection methods. Both PCA and OPLS-DA effectively discriminated between the two groups, and 145 compounds(VIP>1) were identified as critical markers for evaluating processing quality, including 4-methyl-3-penten-2-one, ethyl 2-methylpentanoate, and 2,4-dimethyl-1,3-dioxolane detected by HS-GC-IMS, angelic acid, β-pinene, and germacrene B detected by HS-SPME-GC-MS, and L-tryptophan, licoricone, and angenomalin detected by UPLC-Q-Orbitrap-MS. In conclusion, the integration of the three detection methods with chemometrics elucidates the differences in the chemical material basis between raw and wine-processed Angelicae Sinensis Radix, providing a scientific foundation for understanding the processing mechanisms and clinical applications of wine-processed Angelicae Sinensis Radix.
Wine/analysis*
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Gas Chromatography-Mass Spectrometry/methods*
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Chromatography, High Pressure Liquid/methods*
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Angelica sinensis/chemistry*
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Solid Phase Microextraction/methods*
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Drugs, Chinese Herbal/isolation & purification*
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Chemometrics
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Volatile Organic Compounds/chemistry*
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Principal Component Analysis
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Ion Mobility Spectrometry/methods*
6.Comparison between sinking and floating fresh Rehmanniae Radix samples by UHPLC-Q-Orbitrap HRMS, fingerprinting, and chemometrics.
Shi-Long LIU ; Hong-Wei ZHANG ; Zhen-Ling ZHANG ; Han-Ting JIA ; Zhi-Jun GUO ; Rui-Sheng WANG ; Hong-Wei ZHANG ; Shuo WANG ; Yi-Jian ZHONG
China Journal of Chinese Materia Medica 2025;50(14):3918-3929
This study aims to explore the scientific connotation of sinking Rehmanniae Radix has the best quality and compare the quality between floating and sinking fresh Rehmanniae Radix samples. Ultra-performance liquid chromatography tandem quadrupole electrostatic field Orbitrap high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS) was employed to detect the chemical components in floating and sinking fresh Rehmanniae Radix samples. The fingerprint of fresh Rehmanniae Radix was established by high performance liquid chromatography(HPLC), and four index components were determined simultaneously. The cluster analysis, principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) were conducted to compare the quality of floating and sinking fresh Rehmanniae Radix samples. An evaporative light-scattering detector was used to compare the content of five sugars. The extract yield and drying rate were determined, and the quality connotation of sinking Rehmanniae Radix has the best quality was explained by multiple indicators. A total of 41 components were preliminarily identified from fresh Rehmanniae Radix by UHPLC-Q-Orbitrap HRMS, including 7 iridoid glycosides, 9 phenylethanol glycosides, 6 amino acids, 4 sugars, 3 phenolic acids, 5 nucleosides, 3 organic acids, 1 ionone, 1 furan, 1 coumarin, and 1 phenylpropanoid. The results showed that the main chemical components were consistent between floating and sinking fresh Rehmanniae Radix. Nine common peaks were identified in the fingerprints of 15 batches of floating and sinking fresh Rehmanniae Radix samples, and the similarity of fingerprints was greater than 0.9. The cluster analysis, PCA, and OPLS-DA classified floating and sinking fresh Rehmanniae Radix sasmples into two categories, indicating differences in the quality between them. The total content of catalpol, rehmannioside D, ajugol, and verbascoside in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was catalpol. The total content of fructose, glucose, sucrose, raffinose, and stachyose in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was stachyose. The extract yield and drying rate of the sinking samples were higher than those of floating samples. This study preliminarily showed that floating and sinking fresh Rehmanniae Radix samples had the same components but great differences in the content of medicinal substance basis. The total content of four glycosides and five sugars, extract yield, and drying rate of sinking fresh Rehmanniae Radix samples is higher than that of floating samples of the same batch and specification. These findings, to a certain extent, explains the scientificity of sinking Rehmanniae Radix has the best quality recorded in ancient books and provide a reference for the quality control and clinical application of fresh Rehmanniae Radix.
Chromatography, High Pressure Liquid/methods*
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Drugs, Chinese Herbal/chemistry*
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Rehmannia/chemistry*
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Chemometrics
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Mass Spectrometry/methods*
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Quality Control
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Principal Component Analysis
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Plant Extracts
7.Quality evaluation of Bidentis Herba based on HPLC fingerprint, multi-component content determination, and chemometrics.
Guo-Li SHI ; Xin-Feng WANG ; Wei-Qun LI ; Jian-Wei FAN ; Yong-Xia GUAN
China Journal of Chinese Materia Medica 2025;50(14):3944-3950
This study established the HPLC fingerprints and a multi-component content determination method for Bidens pilosa var. radiata and B. pilosa and conducted comprehensive evaluation by integrating fingerprint similarity comparison, cluster analysis(CA), and principal component analysis(PCA), aiming to provide a reference for the establishment of quality standards for Bidentis Herba. HPLC was launched on an Agilent Poroshell 120 EC-C_(18) chromatographic column(4.6 mm×250 mm, 4 μm) by gradient elution with a mobile phase of 0.1% aqueous phosphoric acid-acetonitrile at a flow rate of 0.7 mL·min~(-1), detection wavelength of 270 nm, column temperature of 25 ℃, and an injection volume of 5 μL. The fingerprint similarity of 20 batches of Bidentis Herba ranged from 0.775 to 0.979. A total of 20 common peaks were identified, and seven components were confirmed through comparison with reference substances: neochlorogenic acid, chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, isochlorogenic acid C, rutin, and hyperoside. These seven components exhibited good linearity within the ranges of 3.4-67.4, 33.0-660.3, 26.6-531.2, 3.5-70.5, 6.2-124.9, 2.4-48.3, and 4.6-91.5 μg·mL~(-1), respectively, with correlation coefficients(r) greater than 0.999. The average recovery rates ranged from 96.47% to 104.6%. CA and PCA classified the 20 batches of Bidentis Herba into two categories. PCA yielded two principal components, with a cumulative variance contribution rate of 80.557%. The established HPLC fingerprints and multi-component content determination method are simple and accurate, providing a scientific basis for the quality control and quality standard formulation of Bidentis Herba.
Chromatography, High Pressure Liquid/methods*
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Drugs, Chinese Herbal/chemistry*
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Quality Control
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Chemometrics/methods*
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Bidens/chemistry*
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Principal Component Analysis
8.Quality evaluation of Commelina communis from different origins based on multicomponent content determination combined with chemometrics.
Yi-Lu LUO ; Ge-Ying WANG ; Jia-Yi LUO ; Li-Xin ZHOU ; Bin JIANG ; Xiao-Ying ZHENG ; Xin HE ; Rui-Feng JI
China Journal of Chinese Materia Medica 2023;48(2):356-365
This research established a high-performance liquid chromatography(HPLC) method for simultaneous determination of isoorientin, orientin, vitexin, and isovitexin in Commelina communis to conduct content difference analysis and quality evaluation of 62 batches of C. communis from different origins. The HPLC content determination was performed on a Dikma Platisil ODS chromatographic column(4.6 mm×250 mm, 5 μm), with acetonitrile-0.1% formic acid(14∶86) as the mobile phase. The detection wavelength was set at 348 nm, the flow rate was 1.0 mL·min~(-1), and the column temperature was 35 ℃. The differences in origins and quality of 62 batches of C. communis were studied by chemometrics. The results showed that the determination of four components mani-fested a good linear relationship in the range of mass concentration(r>0.999 9), and the average recovery rate was 96.17%-103.0%. The relative standard deviations(RSDs) of precision, stability, and repeatability were all less than 2.0%. The content of four components from high to low was isoorientin>isovitexin>orientin>vitexin. Forty-seven batches of C. communis with clear origins were classified into six categories by chemometrics. C. communis from different origins had different qualities. Generally, C. communis from Western China, Central China, and South of China had superior qualities. The HPLC method established in this study is specific, simple, and efficient, which provides references for the comprehensive evaluation of the quality of C. communis. The chemometrics shows that the qualities of C. communis from different origins are largely different. Isoorientin can be used as an index to determine the content of C. communis, and its content limit should be set no less than 0.023%.
Commelina
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Chemometrics
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Drugs, Chinese Herbal/chemistry*
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China
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Chromatography, High Pressure Liquid/methods*
9.Comprehensive quality evaluation of Tangwei capsule based on HPLC-QAMS multi-index quantitative determination combined with chemometrics and EW-TOPSIS method.
Hui QIU ; Feiying WEN ; Jian FANG ; Hongyuan CHEN
Journal of Zhejiang University. Medical sciences 2023;52(2):195-206
OBJECTIVES:
To detect the contents of Tangwei capsule main components with high performance liquid chromatography-quantitative analysis of multicomponents by single marker (HPLC-QAMS) method and to evaluate the quality with chemometrics and entropy weight-technique for order preference by similarity to an ideal solution (EW-TOPSIS).
METHODS:
A symmetry C18 column and 0.1% formic acid-acetonitrile as mobile phase were used for HPLC of Tangwei capsule. The contents of 3'-hydroxypuerarin, puerarin, 3'-methoxypuerarin, methylnissolin-3-O-glucoside, calycosin, formononetin, rosmarinic acid, salvianolic acid B, dihydrotanshinone Ⅰ, cryptotanshinone, tanshinone Ⅰ, tanshinone ⅡA and cucurbitacin B in 15 batches of Tangwei capsule were determined simultaneously. The quality differences of 15 batches of samples were analyzed by chemometrics and EW-TOPSIS.
RESULTS:
The HPLC-UV showed that 13 components had good linear relationships in corresponding concentration ranges (r≥0.9991). The relative standard deviations (RSD) of precision, repeatability and stability were all less than 2.00%. The average recovery rates were between 96.86% and 100.13%, and RSD were all less than 2.00%. Cluster analysis showed that 15 batches of samples were clustered into 3 groups. Partial least squares-discriminant analysis showed that salvianolic acid B, formononetin, puerarin, 3'-methoxypuerarin and rosmarinic acid were the main potential markers affecting the quality of Tangwei capsule. EW-TOPSIS analysis showed that the quality of S12-S15 was superior.
CONCLUSIONS
The analytical method established in this study can be used for the comprehensive evaluation of the quality of Tangwei capsule to provide laboratory support for its quality control and overall evaluation.
Drugs, Chinese Herbal
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Chromatography, High Pressure Liquid/methods*
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Chemometrics
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Entropy
10.Multi-index components of Scutellariae Barbatae Herba according to UHPLC-QTRAP-MS coupled with chemometrics.
Jia-Lu JIANG ; An KANG ; Qin LI ; Meng-Meng SONG ; Hui-Fa HAN ; Yu-Qing CAI ; Zhui-Cheng XU ; Hai-Bo CHENG ; Dong-Dong SUN
China Journal of Chinese Materia Medica 2022;47(2):437-443
The present study developed an ultra-fast liquid chromatography coupled with triple quadrupole-linear ion trap composite mass spectrometry(UHPLC-QTRAP-MS) to simultaneously determine the content of potential active components in Scutellariae Barbatae Herba and also to provide a reference approach for screening out the differential quality control components among different batches of Scutellariae Barbatae Herba. Chromatographic separations were conducted on a Thermo Acclaim~(TM) RSLC 120 C_(18) column(3.0 mm×100 mm, 2.2 μm) in a gradient program. The mobile phase consisted of 0.1% aqueous formic acid and acetonitrile, and the column temperature was maintained at 40 ℃. The flow rate was 0.4 mL·min~(-1) and the injection volume was 2 μL. The targeted compounds were monitored in the multiple reaction monitoring(MRM) mode. The acquired data were processed by hierarchical cluster analysis(HCA) and partial least square discriminant analysis(PLS-DA). Sixteen compounds all showed good linear relationship within the corresponding linear ranges and the R~2 values were all higher than 0.993 2. The RSDs of precision, repeatability, and stability were less than or equal to 3.7%. Mean recovery rates were in the range of 95.67% and 104.8% with RSDs≤3.2%. According to HCA and PLS-DA, all samples were clustered into four categories. Scutellarin, acteoside, scutellarein, and scutebarbatine X(VIP>1) were considered as differential chemical markers in the four categories. In conclusion, the developed method can be used for the simulta-neous determination of the multiple components and quality control of Scutellariae Barbatae Herba.
Chemometrics
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Chromatography, High Pressure Liquid/methods*
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Chromatography, Liquid
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Scutellaria
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Tandem Mass Spectrometry/methods*

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