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《工程(英文)》 >> 2019年 第5卷 第1期 doi: 10.1016/j.eng.2018.12.005

对良好中药标准的深层化学认知

a Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
b Department of Pharmacognosy, Institute of Pharmaceutical Sciences, Karl-Franzens-Universität Graz, Graz A-8010, Austria
c National Center for Natural Products Research, School of Pharmacy, The University of Mississippi, University, MS 38677, USA

收稿日期: 2018-08-31 修回日期: 2018-11-16 录用日期: 2018-12-27 发布日期: 2019-01-08

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摘要

中药(TCM)是一种天然来源的复杂体系,具有多种多样的化学成分,在中国被广泛应用。中药的质量控制对政府和检测机构来说是一项巨大的挑战,涉及大量科学问题,包括:中药中有多少成分?如何全面地描述中药的诸多成分以及随后如何表征这些成分?为了推荐对照品的选择,这些(活性)代谢产物在多成分中药中的水平和范围是什么?以及选择的指标成分成分需要哪些质量要求,并且从实用的角度看,如何以低成本在短时间内对这些成分进行定量评价?所有这些因素均需要深思熟虑,才能理解中药独特的化学性质,从而提高中药质量标准,从而为患者提供更好的和更稳定的药物治疗。为了回应这些科学问题,本文汇总了有关中药化学分析技术和方法的最新探索性研究。这些方法的进展包括针对液相色谱- 高分辨质谱(LC-HARMS)联用技术的多维分离、LC-HRMS 联用技术的智能触发数据依赖型采集、利用液相色谱- 质谱联用技术(LC-MS)进行靶向分析、超临界流体色谱以及大的质谱(MS)数据集的数据挖掘。此外,为了节省对照品和中药质量标准的分析时间,本文提出了两种质量策略,分别是应用一标多测(SSDMC)和一法多用法。最后,本文介绍了一系列针对中药分析方法的改进。

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