一个基于MS特征的药用植物数据库驱动的策略,用于识别中医药处方的成分
Jianru Hou1, Changliang Yao2, Yun Li2
1Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; School of Pharmaceutical Sciences, University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China.
Journal of pharmaceutical and biomedical analysis
|June 8, 2023
概括
这项研究引入了一种新的基于质谱 (MS) 的策略,用于快速识别中医药处方 (CMP) 中的草药. 这种基于数据库的方法确保了传统中医药 (TCM) 的质量控制和有效性.
科学领域:
- 分析化学 分析化学
- 药理学是指药理学,即药理学是指药理学.
- 传统中国医药 传统中国医药
背景情况:
- 在中医药处方 (CMP) 中准确识别单个草药对于质量控制和治疗疗效至关重要.
- 现有的CMP成分识别方法通常对全球分析师来说具有挑战性和耗时.
研究的目的:
- 开发一种快速和自动化的策略,使用基于质谱 (MS) 特征的数据库来识别CMP成分.
- 建立一种可靠的方法来控制传统中医药 (TCM) 的质量并确保其有效性.
主要方法:
- 构建一个单一的草药数据库,其中包含61种常见的TCM草药的稳定离子.
- 通过四步过程开发自动构建的搜索程序,自动识别CMP成分:1级 (稳定离子) 和2级 (独特离子) 选,难以区分的草药差异化和结果集成.
- 优化和验证识别模型使用各种自制,负处方和假冒.
主要成果:
- 基于MS特征的数据库驱动策略使得CMP成分的快速和自动解释成为可能.
- 使用自制和假冒的验证证明了该模型的有效性.
- 对九批自制和商业CMP的应用导致了大多数成分草药的正确识别.
结论:
- 拟议的战略为澄清CMP成分提供了一个有希望和通用的方法.
- 这种方法显著提高了传统中医药的质量控制和识别准确度.
- 基于数据库的自动化方法简化了复杂草药配方的分析.
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