A MS-feature-based medicinal plant database-driven strategy for ingredient identification of Chinese medicine prescriptions
文献类型：期刊论文
| 作者 | Hou, Jianru1,3; Yao, Changliang3; Li, Yun3; Yang, Lin3; Chen, Xuebing1,3; Nie, Min3; Qu, Hua3; Ji, Shen4; Guo, De-an1,2,3,4
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| 刊名 | JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
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| 出版日期 | 2023-09-20 |
| 卷号 | 234页码:10 |
| ISSN号 | 0731-7085 |
| 关键词 | Chinese medicine prescription Ingredient identification UPLC-Q TOF |
| DOI | 10.1016/j.jpba.2023.115482 |
| 通讯作者 | Guo, De-an(daguo@simm.ac.cn) |
| 英文摘要 | Identification of the individual herbs that constitute the Chinese medicine prescription (CMP) is a key step to control the quality and ensure the efficacy of traditional Chinese medicine (TCM), but also a challenging task for analysts from all over the world. In this study, a MS-feature-based medicinal plant database-driven strategy was proposed for quick and automatic interpretation of CMP ingredients. The single herb database consisting of stable ions of sixty-one common TCM medicinal herbs was first constructed. And then, the data of CMP was imported into a self-built searching program to achieve quick and automatic identification with four steps including level 1 candidate herb screening based on stable ions (step 1), level 2 candidate herb screening based on unique ions (step 2), difficult-to-distinguish herb differentiation (step 3) and results integration (step 4). The identification model was optimized and validated with homemade Shaoyaogancao Decoction, Mahuang Decoction, Banxiaxiexin Decoction, and their related negative prescriptions and homemade fakes. Another nine batches of homemade and commercial CMPs were applied to this new approach and most of composed herbs in the corresponding CMPs were correctly identified. This work provided a promising and universal strategy for the clarification of CMP ingredients. |
| WOS关键词 | PERFORMANCE LIQUID-CHROMATOGRAPHY ; MARKERS |
| 资助项目 | National Natural Science Foundation of China[82003938] ; National Natural Science Foundation of China[82130111] ; Qi-Huang Chief Scientist Project of National Administration of Traditional Chinese Medicine |
| WOS研究方向 | Chemistry ; Pharmacology & Pharmacy |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001018152000001 |
| 源URL | [http://119.78.100.183/handle/2S10ELR8/306309]  |
| 专题 | 中国科学院上海药物研究所 |
| 通讯作者 | Guo, De-an |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Pharmaceut Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Shanghai Inst Mat Med, Natl Engn Res Ctr TCM Standardizat Technol, Shanghai Res Ctr Modernizat Tradit Chinese Med, 501 Haike Rd, Shanghai 201203, Peoples R China 3.Chinese Acad Sci, Shanghai Inst Mat Med, Shanghai Res Ctr Modernizat Tradit Chinese Med, Natl Engn Res Ctr TCM Standardizat Technol, Shanghai 201203, Peoples R China 4.NMPA Key Lab Qual Control Tradit Chinese Med, Shanghai 201203, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hou, Jianru,Yao, Changliang,Li, Yun,et al. A MS-feature-based medicinal plant database-driven strategy for ingredient identification of Chinese medicine prescriptions[J]. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS,2023,234:10. |
| APA | Hou, Jianru.,Yao, Changliang.,Li, Yun.,Yang, Lin.,Chen, Xuebing.,...&Guo, De-an.(2023).A MS-feature-based medicinal plant database-driven strategy for ingredient identification of Chinese medicine prescriptions.JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS,234,10. |
| MLA | Hou, Jianru,et al."A MS-feature-based medicinal plant database-driven strategy for ingredient identification of Chinese medicine prescriptions".JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS 234(2023):10. |
入库方式： OAI收割
来源：上海药物研究所
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