基于主成分和聚类分析区分牡丹皮药材的差异性  

Discrimination of Moutan Cortex by principal component analysis and cluster analysis

作　　者：张洁瑾[1] 吴豪[2] 赵亮[1] 李悦悦[1] 周闺臣[1] 朱臻宇[2] 张国庆[1] 

机构地区：[1]第二军医大学东方肝胆外科医院药材科,上海200438 [2]第二军医大学药学院药物分析学教研室,上海200433

出　　处：《药学服务与研究》2013年第6期449-451,共3页Pharmaceutical Care and Research

摘　　要：目的:采用主成分和聚类分析对16批不同产地的牡丹皮药材进行分析,比较不同批次之间的差异。方法:选取每批牡丹皮药材色谱图中峰面积>总面积1%的色谱峰作为变量,用SPSS 13.0软件进行主成分和聚类分析。结果:根据色谱图提取出3个主成分,累积贡献率84.011%,可基本描述30个变量的变异情况,不同产地的牡丹皮实现了良好的区分,共聚成四类。主成分分析和聚类分析的结果与牡丹皮药材产地有较好的一致性。结论:与指纹图谱相比,主成分和聚类分析对药材差异的区分更有效。Objective.. To analyze and discriminate 16 batches of Moutan Cortex from different regions by principal component analysis and cluster analysis. Methods： In chromatograms of Moutan Cortex,the peaks whose area was larger than 1% of the entire area were chosen as variables. SPSS 13.0 software was used for principal component analysis and cluster analysis. Results： Three principal components whose accumulative contribution rate reached 84. 011% were selected. Variation status of the 30 variables could be explained by the three principal component factors. Moutan Cortex from different regions were classified into four categories. The results of the principal component analysis and cluster analysis were consistent with the regions of Moutan Cortex. Conclusion： Compared with fingerprint, principal component analysis and cluster analysis were more useful for discrimination of crude materia medica from different regions.

关 键 词：牡丹皮 主成分分析 聚类分析 色谱法 高效液相 

分 类 号：R282.5[医药卫生—中药学]