Study on the differences of active ingredients among different medicinal parts of Angelica sinensis (Oliv.) based on LC-MS combined with multivariate statistical analysis

Angelica sinensis (Oliv.) Diels(DG). has a history of medicinal use for thousands of years. In order to meet clinical needs, it is often divided into DG head, body, tail, and whole DG for use, which means that there are differences between different parts. However, in the existing literature, there are few studies on different parts of DG, and they only compare the differences of a single chemical component in different parts of DG, and do not comprehensively analyze the differences of other components. Therefore, in this study, an ultra performance liquid chromatography-quadrupole orbitalrap mass spectrometry (UPLC-Q-Orbitrap/MS) based combined with an untargeted metabolomics approach was used to compare the diversity of chemical constituents in different parts of DG. After multivariate statistical analysis, 537 differential compounds were screened, and 85 metabolites including 36 phthalates, 10 organic acids, 8 fatty acids, 6 amino acids, 4 coumarins, 4 esters, 3 phenylpropanoids and 14 others. were finally identified. After comparative analysis, the distribution of various components in different parts can be clarified. This study not only compared the differences in the chemical composition of different parts of DG, but also analyzed the relationship between important components and pharmacological effects in different parts, which provided a basis for more rational use of different parts of DG.

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Publication Details

Journal
Chinese Journal of Analytical Chemistry
Published
2024-12-11
DOI
https://doi.org/10.1016/j.cjac.2024.100486
Citations
3
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
2.15

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article

Study on the differences of active ingredients among different medicinal parts of Angelica sinensis (Oliv.) based on LC-MS combined with multivariate statistical analysis

Xiaohan Yan, Jiyu Gong, Haipeng Tang, Wei Qin et al.
3 citations
Chinese Journal of Analytical Chemistry
Traditional Chinese Medicine Analysis
2.15
article

Study on the differences of active ingredients among different medicinal parts of Angelica sinensis (Oliv.) based on LC-MS combined with multivariate statistical analysis

Xiaohan Yan, Jiyu Gong, Haipeng Tang, Wei Qin, X L Tao, Wenyi Gao, Guangzhi Cai, Yunlong Guo, Mengjie Tang, Yu Geng, Kangyu Wang
article en
3 citations

Abstract

Angelica sinensis (Oliv.) Diels(DG). has a history of medicinal use for thousands of years. In order to meet clinical needs, it is often divided into DG head, body, tail, and whole DG for use, which means that there are differences between different parts. However, in the existing literature, there are few studies on different parts of DG, and they only compare the differences of a single chemical component in different parts of DG, and do not comprehensively analyze the differences of other components. Therefore, in this study, an ultra performance liquid chromatography-quadrupole orbitalrap mass spectrometry (UPLC-Q-Orbitrap/MS) based combined with an untargeted metabolomics approach was used to compare the diversity of chemical constituents in different parts of DG. After multivariate statistical analysis, 537 differential compounds were screened, and 85 metabolites including 36 phthalates, 10 organic acids, 8 fatty acids, 6 amino acids, 4 coumarins, 4 esters, 3 phenylpropanoids and 14 others. were finally identified. After comparative analysis, the distribution of various components in different parts can be clarified. This study not only compared the differences in the chemical composition of different parts of DG, but also analyzed the relationship between important components and pharmacological effects in different parts, which provided a basis for more rational use of different parts of DG.

Chinese Journal of Analytical ChemistryVol. 53(1)
Changchun University of Chinese Medicine (CN), Changchun University (CN)
Natural Science Foundation of Jilin Province
Zero hunger
Openalex Percentile: Top 11%
Traditional Chinese Medicine Analysis
2.15
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