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基于谱效关系的太白楤木质量评价

[Quality evaluation of Aralia taibaiensis based on spectrum-activity relationship].

作者信息

Li Huan, Zhai Bing-Tao, Fan Yu, Zou Jun-Bo, Zhang Xiao-Fei, Cheng Jiang-Xue, Shi Ya-Jun, Guo Dong-Yan

机构信息

State Key Laboratory of Research & Development of Characteristic Qin Medicine Resources (Cultivation), Shaanxi Key Laboratory of Chinese Medicine Fundamentals and New Drugs Research, Shaanxi University of Chinese Medicine Xi'an 712046, China.

College of Basic Medicine, Shaanxi University of Chinese Medicine Xi'an 712046, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2021 Sep;46(18):4757-4764. doi: 10.19540/j.cnki.cjcmm.20210506.202.

DOI:10.19540/j.cnki.cjcmm.20210506.202
PMID:34581086
Abstract

A spectrum-activity relationship is established with high performance liquid chromatography(HPLC) fingerprints and the in vitro antioxidant activity to improve the quality evaluation system of Aralia taibaiensis. The HPLC profiles of 12 batches of samples were collected, and the similarity evaluation, heat map analysis and principal component analysis were conducted for the chemometric study of the fingerprint data. Combined with grey correlation analysis, the contributions of the common peaks in the fingerprints to the antioxidant activity were clarified, and the important peaks reflecting the efficacy were identified. The results showed that 17 common peaks were found in 12 batches of A. taibaiensis samples, and 6 of them were identified as saponins. Similarity evaluation, heat map analysis and principal component analysis roughly classified the A. taibaiensis herbs into two categories, i.e.,(1) S1-S10, S12 and(2) S11. Twelve batches of samples showed different antioxidant activities in a dose-dependent manner. In particular, S9 had the strongest antioxidant activity, while S11 was the weakest in antioxidant capacity, which was basically consistent with the overall score results. The results of grey correlation analysis demonstrated that the 17 common peaks scavenged DPPH radicals in the following order: X_3>X_(17)>X_4>X_8>X_7>X_(13)>X_2>X_6>X_(11)>X_(10)>X_(16)>X_(12)>X_9>X_5>X_(14)>X_1>X_(15), and scavenged ABTS radicals in the order of X_4>X_3>X_7>X_8>X_2>X_(17)>X_(13)>X_6>X_(16)>X_(11)>X_5>X_(12)>X_(10)>X_9>X_(14)>X_1>X_(15). Among them, X_3, X_4, X_7(araloside C), X_8 and X_(17) were the important peaks reflecting the efficacy of A. taibaiensis, which were basically consistent with those contained in the principal component 1. In this study, the correlation between the HPLC fingerprints of 12 batches of A. taibaiensis and its antioxidant activity provides a reference for the Q-marker screening and quality control of A. taibaiensis.

摘要

通过高效液相色谱(HPLC)指纹图谱与体外抗氧化活性建立谱效关系,以完善太白楤木的质量评价体系。收集12批次样品的HPLC图谱,并对指纹数据进行相似性评价、热图分析和主成分分析等化学计量学研究。结合灰色关联分析,明确指纹图谱中共有峰对抗氧化活性的贡献,确定反映药效的重要峰。结果表明,12批次太白楤木样品中共有17个共有峰,其中6个被鉴定为皂苷类成分。相似性评价、热图分析和主成分分析大致将太白楤木药材分为两类,即(1)S1 - S10、S12和(2)S11。12批次样品呈现出不同程度的剂量依赖性抗氧化活性。其中,S9的抗氧化活性最强,而S11的抗氧化能力最弱,这与综合评分结果基本一致。灰色关联分析结果表明,17个共有峰清除DPPH自由基的顺序为:X_3>X_(17)>X_4>X_8>X_7>X_(13)>X_2>X_6>X_(11)>X_(10)>X_(16)>X_(12)>X_9>X_5>X_(14)>X_1>X_(15),清除ABTS自由基的顺序为:X_4>X_3>X_7>X_8>X_2>X_(17)>X_(13)>X_6>X_(16)>X_(11)>X_5>X_(12)>X_(10)>X_9>X_(14)>X_1>X_(15)。其中,X_3、X_4、X_7(楤木皂苷C)、X_8和X_(17)是反映太白楤木药效的重要峰,与主成分1中的成分基本一致。本研究中12批次太白楤木的HPLC指纹图谱与其抗氧化活性之间的相关性,为太白楤木的Q-标志物筛选和质量控制提供了参考。

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