Suppr超能文献

基于指纹图谱、多成分定量分析与化学计量学联用方法的厚朴质量评价

[Quality evaluation of Magnoliae Officinalis Cortex based on combinative method of fingerprint,quantitative analysis of multicomponents and chemometrics].

作者信息

Jing Wen-Guang, Zhang Quan, Deng Zhe, Wang Ji-Yong, Sun Xiao-Bo, Lan Qing-Shan

机构信息

Institute of Medicinal Plant Development,Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100193,China Department of Research and Development,China National Traditional Chinese Medicine Co.,Ltd. Beijing 102600,China.

Department of Research and Development,China National Traditional Chinese Medicine Co.,Ltd. Beijing 102600,China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2019 Mar;44(5):975-982. doi: 10.19540/j.cnki.cjcmm.20181226.018.

Abstract

This study aims to establish a combinative method based on fingerprint,assay of multi-component and chemometrics for quality evaluation of Magnoliae Officinalis Cortex. Twenty batches of samples were determined by UPLC and a common mode of fingerprint was established. The similarities between fingerprints of 20 batches of samples were over 0. 90 and the common mode were evaluated. Eight components were identified as syringing, magnocurarine, magnoflorine, magnoloside B, magnoloside A, honokiol,magnolol,and piperitylmagnolol by comparison with reference substances and their content in samples were simultaneously determined.Based on the results,the fingerprint had good consistency between the same origin and minor diversity between the different sources.Piperitylmagnolol and peak 13 could be used as a distinction with the different sources. According to content of 8 components,Fisher discriminant analysis model was established and different source sample was classified pursuant to the discriminant fraction. It is indicated that simultaneous quantification of multi components coupled with chemometrics analysis could be a well-acceptable strategy to identify and evaluate the quality of Magnoliae Officinalis Cortex.

摘要

本研究旨在建立一种基于指纹图谱、多成分测定和化学计量学的厚朴质量评价组合方法。采用超高效液相色谱法(UPLC)对20批样品进行测定,建立了通用指纹图谱模式。20批样品指纹图谱相似度均大于0.90,并对通用指纹图谱模式进行了评价。通过与对照品比较,鉴定出8种成分,分别为丁香脂素、木兰箭毒碱、木兰花碱、厚朴苷B、厚朴苷A、和厚朴酚、厚朴酚、胡椒基厚朴酚,并同时测定了样品中它们的含量。结果表明,该指纹图谱在相同产地之间具有良好的一致性,不同产地之间存在微小差异。胡椒基厚朴酚和峰13可作为区分不同产地的指标。根据8种成分的含量,建立了Fisher判别分析模型,并根据判别分数对不同产地的样品进行分类。结果表明,多成分同时定量结合化学计量学分析是一种可接受的厚朴质量鉴别和评价策略。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验