基于HPLC指纹图谱及主成分分析、聚类分析研究不同地区市售麻黄药材的质量差异

Quality evaluation of commercial Herba Ephedrae in different areas based on HPLC fingerprint principal component analysis and cluster analysis

目的:基于HPLC指纹图谱、主成分分析法(PCA)和聚类分析法(CA)对不同地区市售麻黄药材的质量进行研究。方法:通过HPLC梯度洗脱建立28个批次不同地区市售麻黄药材的指纹图谱,并对18个批次合格麻黄药材进行相似度比较。选取每批次麻黄药材色谱图中峰面积总面积1%的色谱峰作为变量,运用SPSS 20.0软件进行PCA和CA分析。结果:建立了合格麻黄药材的共有模式图谱,合格麻黄药材的相似度为0.466-0.981。PCA结果筛选出累计贡献率达到86.465的6个主成分,以它们计算所有样本的综合得分,可对麻黄药材质量进行排序。CA结果将所有批次麻黄药材共分为3类,反映了28个批次不同地区市售麻黄药材的质量特征。结论:HPLC指纹图谱结合PCA和CA可以对麻黄药材的质量进行客观、有效地评价。

Objective： To assess the quality of commercial Herba Ephedrae in different areas based on HPLC fingerprint, principal component analysis（PCA） and cluster analysis（CA）. Methods： HPLC gradient elution method was developed to establish a fingerprint for 28 batches of Herba Ephedrae in different areas. The similarities in 18 batches of qualified Herba Ephedrae were compared. In the HPLC fingerprints of Herba Ephedrae, the peaks of whose area overed 1% of the entire area were chosen as variables. SPSS 20.0 software was used for PCA and CA analysis. Results： The common mode of HPLC characteristic chromatographic profile of qualified Herba Ephedrae was established, and the similarities of qualified Herba Ephedrae were 0.466-0.981. PCA result showed that 6 principle components with accumulative contribution rate reaching 86.465 were screened to calculate the comprehensive score of each sample that was used to classify Herba Ephedrae as the quality difference. CA results showed that 28 batches of commercial Herba Ephedrae from different areas were classified into 3 categories, which reflected their quality characteristics. Conclusion： The utilization of HPLC fingerprint coupled with PCA and CA could objectively and effectively assess the quality of commerciall Herba Ephedrae from different areas.