基于层次分析-熵权法的中药质量标志物量化辨识方法研究——以芍药甘草汤为例

中药质量标志物是近年来中药质量研究的热点,虽有较多相关探讨与研究实践,但如何科学合理地表征质量标志物仍未有突破性进展。本文尝试建立了基于层次分析(analytic hierarchy process,AHP)-熵权法的中药质量标志物辨识方法,在构建涵盖目标层、要素层、控制层的评价体系基础上,首先采用AHP法对中药成分有效性、可测性、特有性3个核心质量属性进行权重分析,其次对各属性下的具体指标基于文献和实验数据应用熵权法进行分析,得到各具体指标的权重后加权计算各成分的综合评分并排序,从而确认中药质量标志物。采用该方法以解痉止痛经典名方芍药甘草汤为例进行研究,结果发现其质量标志物重要性排序靠前的8个成分为:芍药苷>槲皮素>芍药内酯苷>甘草酸>柚皮素>甘草苷>氧化芍药苷>苯甲酰芍药苷,为相关方剂质量标准建立与全程质量控制提供了重要支撑。该研究也为中药质量标志物的量化评价与精准辨识提供了创新思路与方法。

Quantitative identification of TCM Q-markers based on analytical hierarchy and the entropy weight comprehensive method by taking Shaoyao Gancao decoction as an example

The quality markers(Q-markers)of traditional Chinese medicine(TCM)have become a topic of interest in TCM research in recent years.Nonetheless,there is still no consensus on how to scientifically characterize TCM Q-markers.Our study establishes an identification method for TCM Q-markers based on the analytical hierarchy process(AHP)and the entropy weight comprehensive method.By constructing an evaluation system encompassing the target layer,the factor layer and the control layer,AHP can be used to analyze the weight of three core TCM quality attributes,including effectiveness,testability and specificity.Following that,the entropy weight method is employed to analyze the specific indicators for each attribute based on the literature and experimental data.Finally,the comprehensive weight of each index is obtained by combining the two weights,and the comprehensive weight and the specific value of each component is multiplied and summed to obtain the integrated score ranking,and thereby identify the TCM Q-markers.Taking Shaoyao Gancao decoction as an example,the analysis revealed that the top 8 components are as follows:paeoniflorin>quercetin>albiflorin>glycyrrhizic acid>naringenin>liquiritin>oxypaeoniflorin>benzoylpaeoniflorin,and can be identified as Q-markers of Shaoyao Gancao decoction.This study not only provides support for the establishment of quality standards and process quality control of TCM formulae,but also provides innovative ideas and methods for quantitative evaluation and accurate identification of TCM Q-markers.