基于聚类和PCA分析对江西49批栀子的HPLC指纹图谱研究  

HPLC Fingerprint of Gardenia Jasminoides from Jiangxi Based on Principle Component Analysis Coupled with Cluster Analysis

作　　者：屈晓晟[1,2] 杨义芳[1] 杨悦文[1,2] 胡晓[1] 罗永明[2] 

机构地区：[1]中国医药工业研究总院上海医药工业研究院,创新药物与制药工艺国家重点实验室,上海200040 [2]江西中医学院,江西南昌330004

出　　处：《中国医药工业杂志》2013年第8期764-769,共6页Chinese Journal of Pharmaceuticals

基　　金：国家"重大新药创制"科技重大专项(2009ZX09301-007);上海市科学技术委员会西部地区科技合作项目(11495801400);云南省科技厅重大专项(2009AC015)

摘　　要：对江西不同产地的49批栀子用HPLC双波长检测法建立其超声水提物的指纹图谱,运用指纹图谱相似度评价、聚类分析和主成分分析进行研究。该法精密度、稳定性和重现性良好,相似度结果与聚类分析及主成分分析结果一致,证明该指纹图谱能有效鉴别栀子及其疑似品。Forty-nine batches of gardenia from different regions of Jiangxi were investigated. The fingerprint chromatography of their ultrasonic aqueous extract was established by HPLC dual wavelength method. The fingerprint similarity evaluation was combined with cluster analysis and principal component analysis. The HPLC method had good precision, stability and reproducibility. The results of similarity evaluation, cluster analysis and principal component analysis were consistent, which proved that the fingerprint could be effective for gardenia and suspected goods identification.

关 键 词：江西栀子 双波长 高效液相色谱 指纹图谱 聚类分析 主成分分析 

分 类 号：O657.72[理学—分析化学]