Comprehensive Quality Evaluation of Qizhi Xiangfu Pills Based on Quantitative Analysis of Multi-Components by a Single Marker Combined with GC Fingerprints and Chemometrics

作者全名："Zou, Jia-Jia; Xu, Xiao-Li; Yang, Lin; Wang, Yi-Wu; Li, Yan; Dai, Lei; He, Dan"

作者地址："[Zou, Jia-Jia; Xu, Xiao-Li; Dai, Lei; He, Dan] Chongqing Med Univ, Coll Pharm, Yixueyuan Rd, Chongqing 400016, Peoples R China; [Yang, Lin; Li, Yan] Chongqing Med & Pharmaceut Coll, Dept Pharmacol, Daxuecheng Middle Rd, Chongqing 401331, Peoples R China; [Wang, Yi-Wu] Chongqing Med Univ, Expt Teaching Ctr, Daxuecheng Middle Rd, Chongqing 400016, Peoples R China"

通信作者："He, D (通讯作者)，Chongqing Med Univ, Coll Pharm, Yixueyuan Rd, Chongqing 400016, Peoples R China."

来源：JOURNAL OF AOAC INTERNATIONAL

ESI学科分类：AGRICULTURAL SCIENCES

WOS号：WOS:000975531800001

JCR分区：Q3

影响因子：1.7

年份：2023

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期号：　

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文献类型：Article; Early Access

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摘要："Background Qizhi Xiangfu Pills (QXPs) are a traditional Chinese medicine (TCM) used clinically for qi stagnation and blood stasis. The current quality control of QXPs in the ministry standards and the reported literature is minimal, and requires improvement. Objective This study aimed to analyze and determine the active ingredients in QXPs for its overall evaluation. Methods In this study, a quantitative analysis of multi-components by a single marker (QAMS) method was established to simultaneously determine caryophyllene oxide, cyperotundone, ligustilide, and alpha-cyperone in QXPs by GC. Moreover, the GC fingerprints of 22 batches of samples were also established, and the common peaks were initially identified by GC-MS, then classified in various dimensions using chemometric methods, and the main markers causing the discrepancies between groups were analyzed by orthogonal partial least-squares discrimination analysis (OPLS-DA). Results Compared with an internal standard method (ISM), the determination results obtained by QAMS had no significant difference. Twenty-two common peaks were distinguished in the fingerprint of 22 batches of QXPs, 17 of which were identified, and the similarity of the fingerprints was greater than 0.898. The 22 batches of QXPs were roughly divided into 3 categories, and 12 main markers causing the discrepancies were discovered. Conclusion The established QAMS method combined with the GC fingerprint and chemometrics is convenient and feasible, which helps to improve the quality evaluation of QXPs and provides a demonstration for the related study of compound preparations and single herbs."

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