郭延生;华永丽;杜天玺;杨洪申;魏彦明;
GUO Yansheng,HUA Yongli,DU Tianxi,YANG Hongshen,WEI Yanming* (School of Veterinary Medicine,Gansu Agriculture University,Lanzhou 730070,China)

• 1:甘肃农业大学动物医学院

摘要(Abstract)：

目的:建立当归药材及炮制品的指纹图谱,对其进行化学识别和验证。方法:采用高效液相色谱法建立了当归及其炮制品HPLC指纹图谱,并使用主成分分析、系统聚类分析和判别分析对指纹图谱进行了模式识别研究。结果:当归不同炮制品HPLC指纹峰和相对峰面积存在一定差异,判别分析选择了6个色谱峰的相对峰面积为预测变量建立了当归及其炮制品的判别函数,回代判别率为100%,判别分析散点图区分度良好。结论:建立了当归炮制品HPLC指纹图谱,并结合化学计量学方法对当归炮制品进行准确、可靠的识别和验证,为当归及其炮制品的质量评价和炮制机制研究提供一定的科学依据。
Objective: To establish a chemical fingerprint method for reorganizing and validating angelica different processed products.Method: A high-performance liquid chromatographic method was developed to establish the fingerprint.Principal component analysis,hierarchical cluster analysis and discriminate analysis were applied to study HPLC finger printing and chemical pattern reorganization.Result: There were difference of characteristic peaks and its relative peak area of HPLC fingerprints between different processed products.Fish′s discriminate functions were generated by using six selected predictor variables,the tested samples of different processed products were classified with 100% accuracy,and discriminate analysis plots for the five groups were well-resolved.Conclusion: The developed HPLC finger print,combined with chemometrics,can accurately identify and validate angelica different processed products,the research provide theoretical basis for the processing mechanism and quality assess of angelica different processed products.

关键词(KeyWords)： 当归;炮制品;指纹图谱;化学计量学
angelica;processed products;fingerprint;chemometrics

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(30671541,30972210)

作者(Author): 郭延生;华永丽;杜天玺;杨洪申;魏彦明;
GUO Yansheng,HUA Yongli,DU Tianxi,YANG Hongshen,WEI Yanming* (School of Veterinary Medicine,Gansu Agriculture University,Lanzhou 730070,China)

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DOI:

参考文献(References)：

• [1]中国药典.一部[S].2005:89.
• [2]中华本草编委会.中华本草.第5卷[M].上海:上海科学技术出版社,1999:893.
• [3]陈慧珍.当归研究进展[J].海峡药学,2008,20(8):83.
• [4]甘肃省卫生厅.甘肃中药炮制规范[M].兰州:甘肃人民出版社,1999:53.
• [5]Lu G H,Kelvin C,Liang YZ,et al.Development of high perform-ance liquid chromatographic fingerprints for distinguishing Chineseangelica from related Umbelliferae herbs[J].J Chromatogr A,2005,1073:383.
• [6]王婷婷,陈晓辉,胡庆庆,等.白芷质量的HPLC指纹图谱评价方法[J].药学学报,2006,41:747.