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穿龙薯蓣HPLC指纹图谱及模式识别 被引量:3

HPLC Fingerprint Analysis and Pattern Recognition of Dioscorea nipponica
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摘要 目的:建立穿龙薯蓣药材HPLC指纹图谱。方法:Agilent TC-C18(4.6 mm×250 mm,5μm)色谱柱;流动相乙腈(A)-水(B)梯度洗脱,检测波长203 nm,流速1.0 mL·min-1。收集了不同产地野生和栽培的28批样品进行测定,采用主成分分析筛选出12批样品,聚类分析结果与主成分分析结果相似,剔除1个距离较远的样品,最终筛选11批样品建立指纹图谱共有模式。结果:确立了14个共有峰,方法学考察结果良好,11批样品的相似度均>0.866。结论:该方法可用于穿龙薯蓣质量控制及综合评价。 Objective: To establish Dioscorea nipponica HPLC fingerprint. Method: The separation was performed on a Agilent TC-C18(4.6mm×250mm,5μm) column, with acetonitrile-water as mobile phase for gradient elution; the UV detector was set at 203 nm; the flow rate was 1.0 mL.min-1. There were 28 samples of wild and cultivated from various places to be analyzed. There were 12 samples selected by principal component analysis (PCA), the result of cluster analysis was similar with PCA, except one sample which had been eliminated. 11 samples were selected to establish the common pattern of the fingerprint. Result: 14 marked common peaks were established, inspection results of the method were good, the similarities of 11 samples were more than 0. 866. Conclusion: The method provides an academic reference for the quality control of Dioscorea nipponica.
出处 《中国实验方剂学杂志》 CAS 北大核心 2012年第22期145-148,共4页 Chinese Journal of Experimental Traditional Medical Formulae
基金 辽宁省教育厅项目(2009A498) 校优秀青年药学人才基金(yxrc0904)
关键词 穿龙薯蓣 指纹图谱 主成分分析 聚类分析 Dioscorea nipponica fingerprint principal component analysis (PCA) cluster analysis
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