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采用多元数据分析和单标记定量分析对刺五加进行质量评价。

Quality evaluation of Acanthopanax senticosus via quantitative analysis of multiple components by single marker and multivariate data analysis.

机构信息

Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin, 150040, China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin, 150040, China; Collaborative Innovation Center for Development and Utilization of Forest Resources, Harbin, 150040, China.

Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin, 150040, China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin, 150040, China.

出版信息

J Pharm Biomed Anal. 2021 Jul 15;201:114090. doi: 10.1016/j.jpba.2021.114090. Epub 2021 Apr 22.

DOI:10.1016/j.jpba.2021.114090
PMID:33933704
Abstract

A comprehensive method for the evaluation of Acanthopanax senticosus (AS) was established by the quantitative analysis of multiple components by single marker (QAMS), fingerprint, similarity analysis (SA), hierarchical cluster analysis (HCA), and factor analysis (FA) based on high performance liquid chromatography (HPLC). A total of 27 common peaks were identified in the standard fingerprint of 20 batches of AS from different regions in China, of which 8 peaks were identified as protocatechuic acid, syringin, chlorogenic acid, caffeic acid, eleutheroside E, hyperoside, isofrqxidin, and acacetin, and the concentrations of these eight components were determined simultaneously by QAMS. The results showed that the QAMS method was effective and feasible compared with the external standard method (ESM) (RD < 3.3 %, P ≤ 0.01). Sample 1 (S1) was used as the reference chromatogram, the similarity of other samples was between 0.765 and 0.968. Through HCA, AS could be mainly divided into two production areas, the north Liaoning (including Liaoning) and the south Liaoning areas. Furthermore, FA showed that the quality of AS in the north Liaoning area was better than that in the south Liaoning area. In summary, the method established in this study can comprehensively and systematically evaluate quality differences in AS samples, and may be used to help to improve the quality control of AS.

摘要

建立了一种基于高效液相色谱法(HPLC)的多指标成分定量分析-单一成分对照法(QAMS)、指纹图谱、相似度分析(SA)、层次聚类分析(HCA)和因子分析(FA)的全面评价方法,用于评价刺五加(AS)。在 20 批来自中国不同地区的 AS 标准指纹图谱中鉴定出 27 个共有峰,其中 8 个峰被鉴定为原儿茶酸、紫丁香苷、绿原酸、咖啡酸、刺五加苷 E、芦丁、异嗪皮啶和芹菜素,并通过 QAMS 同时测定了这 8 个成分的浓度。结果表明,与外标法(ESM)相比,QAMS 法有效且可行(RD < 3.3%,P ≤ 0.01)。以样品 1(S1)为参照图谱,其他样品的相似度在 0.765 到 0.968 之间。通过 HCA,AS 主要分为两个产地,辽宁北部(包括辽宁)和辽宁南部。此外,FA 表明辽宁北部地区 AS 的质量优于辽宁南部地区。总之,本研究建立的方法可以全面、系统地评价 AS 样品的质量差异,可能有助于提高 AS 的质量控制。

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