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Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards
Hou, Jin-Jun1; Zhang, Jian-Qing1; Yao, Chang-Liang1; Bauer, Rudolf2; Khan, Ikhlas A.3; Wu, Wan-Ying1; Guo, De-an1
刊名ENGINEERING
2019-02-01
卷号5期号:1页码:83-97
关键词Traditional Chinese medicine Liquid chromatography Mass spectrometry Data-dependent acquisition Chemometrics Untargeted Data mining Quality control
ISSN号2095-8099
DOI10.1016/j.eng.2018.12.005
通讯作者Wu, Wan-Ying(wanyingwu@simm.ac.cn) ; Guo, De-an(daguo@simm.ac.cn)
英文摘要Traditional Chinese medicines (TCMs), a complex system of natural resources with many diverse components, are widely used as approved medicinal agents in China. Quality control of TCMs is a huge challenge for the government and for testing institutes and is associated with numerous scientific issues. Among these considerations include the following questions: How many components are in TCMs? How can the multiple components in TCMs be comprehensively delineated and subsequently characterized? What is the level and range of these (active) metabolites within these multiple-component TCMs, in order to recommend standards? and What are the qualities required for a marker constituent to be selected, and from a practical perspective, how can these components be assessed with low cost and in a short time? All of these factors require significant and deep thinking in order to understand the individualistic chemistry of TCM in order to develop enhanced TCM quality standards for improved and consistent patient care. In this review, the latest exploratory research in TCM chemistry analytical techniques and methods is summarized in order to begin to develop responses to these scientific issues. Advances in these methods have included multidimensional separation for liquid chromatography-high-resolution mass spectrometry (LC-HRMS), smart triggering data-dependent acquisition of LC-HRMS, target analysis with liquid chromatography-mass spectrometry (LC-MS), supercritical fluid chromatography, and data mining of large mass spectrometry (MS) datasets. In addition, two quality strategies have been introduced in order to save reference standards and the analysis time for a TCM quality standard, including the application of the single standard to determine multi-components (SSDMC) and monomethod-heterotrait matrix methods. Finally, a series of future improvements for analytical methods for TCMs are proposed. (C) 2019 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.
资助项目National Natural Science Foundation of China[81473344] ; National Natural Science Foundation of China[81403097] ; National Natural Science Foundation of China[81530095] ; Special Scientific Research in the Chinese Medicine Industry of National Administration of Traditional Chinese Medicine[201307002] ; National Science and Technology Major Project for Major Drug Development[2014ZX09304-307-001-007] ; National Science and Technology Major Project for Major Drug Development[GZYYGJ2017024] ; National Science and Technology Major Project for Major Drug Development[ZYBZH-K-LN-01]
WOS关键词PERFORMANCE LIQUID-CHROMATOGRAPHY ; SUPERCRITICAL-FLUID CHROMATOGRAPHY ; MOBILITY-MASS SPECTROMETRY ; MULTIPLE COMPONENTS QUANTIFICATION ; NATURAL COMPOUNDS CHARACTERIZATION ; CELL-MEMBRANE CHROMATOGRAPHY ; SINGLE REFERENCE-STANDARD ; CARTHAMUS-TINCTORIUS L. ; NIUHUANG SHANGQING PILL ; SOLID-PHASE EXTRACTION
WOS研究方向Engineering
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000460482100013
内容类型期刊论文
源URL[http://119.78.100.183/handle/2S10ELR8/290320]  
专题中国科学院上海药物研究所
通讯作者Wu, Wan-Ying; Guo, De-an
作者单位1.Chinese Acad Sci, Shanghai Res Ctr Modernizat Tradit Chinese Med, Natl Engn Lab TCM Standardizat Technol, Shanghai Inst Mat Med, Shanghai 201203, Peoples R China
2.Karl Franzens Univ Graz, Inst Pharmaceut Sci, Dept Pharmacognosy, A-8010 Graz, Austria
3.Univ Mississippi, Sch Pharm, Natl Ctr Nat Prod Res, University, MS 38677 USA
推荐引用方式
GB/T 7714
Hou, Jin-Jun,Zhang, Jian-Qing,Yao, Chang-Liang,et al. Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards[J]. ENGINEERING,2019,5(1):83-97.
APA Hou, Jin-Jun.,Zhang, Jian-Qing.,Yao, Chang-Liang.,Bauer, Rudolf.,Khan, Ikhlas A..,...&Guo, De-an.(2019).Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards.ENGINEERING,5(1),83-97.
MLA Hou, Jin-Jun,et al."Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards".ENGINEERING 5.1(2019):83-97.
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