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不同产地北柴胡质量的化学模式识别研究 被引量:11

Study on Chemical Pattern Recognition of Quality assessment from Different Habitats of Bupleurum chinense DC
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摘要 目的:建立北柴胡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15个不同产地的北柴胡样品中三种柴胡皂苷的含量,系统聚类分析法对其进行化学模式识别研究。结果:15个产地的北柴胡样品按其质量等级划分为四类,其中山西太原和陕西宝鸡的北柴胡药材中指标成分含量较高。结论:该方法可用于北柴胡药材的质量评价。 Objective: To establish a system of chemical pattern recognition on the quality assessment of Bupleurum chinense DC. Method: The content of saikosaponin a,c,d in Bupleurum chinense DC. samples from 15 different batitats in China was determinated by RP-HPLC method. The chemical compositions were studied by the hierarchical clustering analysis to conduct the chemical pattern recognition. Result: The 15 samples from different habitat were divided into 4 categories according to their levels of quality. The content of active components in Bupleurum chinense DC. samples from Taiyuan and Baoji were relatively higher than that from other habitat. Conclusion: This method is feasible to evaluate the quality of Bupleurum chinense DC.
作者 李辉 叶青
出处 《中国药师》 CAS 2005年第3期214-215,共2页 China Pharmacist
关键词 北柴胡 柴胡皂苷 化学模式识别 系统聚类分析 Bupleurum chinense DC Saikosaponin Chemical pattern recognition Hierarchical clustering analysis
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