不同产地大青叶质量的化学模式识别研究

目的建立大青叶药材质量评价的化学模式识别方法。方法采用RP-HPLC法定量分析国内10个不同产地的大青叶样品中邻氨基苯甲酸、丁香酸、腺苷、靛玉红4种指标成分的量,用雷达图评价指标成分的平衡分布,结合系统聚类分析法对其进行化学模式识别研究。结果根据雷达图显示结果通过系统聚类分析法将10个样品按其质量等级划分为5类。结论该方法可用于大青叶药材的质量评价。

Chemical pattern recognition of quality assessment of Folium Isatidis from various habitats

Objective To establish a method of chemical pattern recognition on the quality assessment of Folium Isatidis. Methods The contents of anthranilic acid, syringic acid, adenosine, and indirubin in Folium Isatidis. Samples from ten diferent areas in China were determinated by RP-HPLC method. Based on the RP-HPLC method, the chemical data were obtained. Using the radar-grams to evaluate the balance distribution of the index constituents. Hierarchical clustering analysis was applied to the chemical pattern recognition. Results The ten samples from different habitats were classified into five grades according to the result displayed from the radar-gram by hierarchical clustering analyses. Conclusion This method is feasible to evaluate the quality of Folium Isatidis.