Zhang Qian, Chen Yiyang, Ma Lixia, Jiang Yue, Chen Jun, Dong Jie, Ma Yifan, Zhang Jingjing, Yan Guojun
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The similarity analyzed with \"Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine 2004A,\" and hierarchical clustering analysis (HCA) and principal component analysis (PCA) were performed by SPSS (version 22.0, SPSS Inc., Chicago, IL, USA).</p><p><strong>Results: </strong>There were 12 common peaks, and the similarity degrees of 10 batches of samples were more than 0.923 and showed that all the samples from different origins were of good consistency. The samples were divided into 4 clusters by HCA. The results of PCA showed that the 3 factors were chosen, the quality of samples could be evaluated basically. The comprehensive score results show that the ASR with Lot.Nos.DG-18007, DG-18008 in Weiyuan County, Gansu and DG-18009 produced in Minle County, Gansu Province rank among the top 3 in all samples.</p><p><strong>Conclusions: </strong>These results demonstrated that the combination of HPLC chromatographic fingerprint and chemometrics offers an efficient and reliable approach for quality evaluation of ASR from different sources as Ancient Classical Prescriptions ingredients.</p>","PeriodicalId":11285,"journal":{"name":"Dose-Response","volume":"18 3","pages":"1559325820951730"},"PeriodicalIF":2.4000,"publicationDate":"2020-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1559325820951730","citationCount":"4","resultStr":"{\"title\":\"Study on the Fingerprints and Quality Evaluation of Angelica Sinensis Radix by HPLC Coupled With Chemometrics Based on Traditional Decoction Process of ACPTCM.\",\"authors\":\"Zhang Qian, Chen Yiyang, Ma Lixia, Jiang Yue, Chen Jun, Dong Jie, Ma Yifan, Zhang Jingjing, Yan Guojun\",\"doi\":\"10.1177/1559325820951730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To establish a HPLC fingerprints evaluation method for <i>Angelica Sinensis</i> Radix (ASR) based on traditional decoction process of Ancient Classical Prescriptions of Traditional Chinese Medicine (ACPTCM).</p><p><strong>Methods: </strong>The fingerprints of 10 batches of ASR were further evaluated by chemometrics methods. 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引用次数: 4
摘要
目的:建立基于中药古经方剂(ACPTCM)传统煎制工艺的当归指纹图谱评价方法。方法:采用化学计量学方法对10批ASR的指纹图谱进行评价。相似度分析采用《中药色谱指纹图谱相似度评价系统2004A》,并用SPSS(22.0版,SPSS Inc., Chicago, IL, USA)进行层次聚类分析(HCA)和主成分分析(PCA)。结果:共有12个峰,10批样品的相似度均大于0.923,说明不同产地的样品一致性较好。采用HCA法将样品分为4类。主成分分析结果表明,选取这3个因素后,可以基本评价样品的质量。综合评分结果显示,含批号的ASR;甘肃威远县生产的DG-18007、DG-18008和甘肃民乐县生产的DG-18009样品总量均居前3位。结论:高效液相色谱指纹图谱与化学计量学相结合的方法可有效、可靠地评价不同来源古典方药材的质量。
Study on the Fingerprints and Quality Evaluation of Angelica Sinensis Radix by HPLC Coupled With Chemometrics Based on Traditional Decoction Process of ACPTCM.
Objective: To establish a HPLC fingerprints evaluation method for Angelica Sinensis Radix (ASR) based on traditional decoction process of Ancient Classical Prescriptions of Traditional Chinese Medicine (ACPTCM).
Methods: The fingerprints of 10 batches of ASR were further evaluated by chemometrics methods. The similarity analyzed with "Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine 2004A," and hierarchical clustering analysis (HCA) and principal component analysis (PCA) were performed by SPSS (version 22.0, SPSS Inc., Chicago, IL, USA).
Results: There were 12 common peaks, and the similarity degrees of 10 batches of samples were more than 0.923 and showed that all the samples from different origins were of good consistency. The samples were divided into 4 clusters by HCA. The results of PCA showed that the 3 factors were chosen, the quality of samples could be evaluated basically. The comprehensive score results show that the ASR with Lot.Nos.DG-18007, DG-18008 in Weiyuan County, Gansu and DG-18009 produced in Minle County, Gansu Province rank among the top 3 in all samples.
Conclusions: These results demonstrated that the combination of HPLC chromatographic fingerprint and chemometrics offers an efficient and reliable approach for quality evaluation of ASR from different sources as Ancient Classical Prescriptions ingredients.
Dose-ResponsePHARMACOLOGY & PHARMACY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
4.90
自引率
4.00%
发文量
140
审稿时长
>12 weeks
期刊介绍:
Dose-Response is an open access peer-reviewed online journal publishing original findings and commentaries on the occurrence of dose-response relationships across a broad range of disciplines. Particular interest focuses on experimental evidence providing mechanistic understanding of nonlinear dose-response relationships.