中药砂仁质量的化学模式识别研究  

Quality assessment of the traditional Chinese medicine Amomum villosum by chemical pattern recognition techniques

作　　者：王洋[1] 申丽[1] 江坤 殷果 王珏 鲁艺 项荣武[5] 王铁杰[1,2,3,4] WANG Yang SHEN Li JIANG Kun YIN Guo WANG Jue LU Yi XIANG Rong-wu WANG Tie-jie(School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China Shenzhen Institute for Drug Control, Shenzhen 518057, China Shenzhen Key Laboratory of Drug Quality Standard Research, Shenzhen 518057, China Shenzhen Engineering Laboratory of Exploitation and Utilization of Medicinal Material Resources in Lingnan, Shenzhen 518057 China School of Medical Devices, Shenyang Pharmaceutical University, Shenyang 110016, China)

机构地区：[1]沈阳药科大学药学院,沈阳110016 [2]深圳市药品检验研究院,深圳518057 [3]深圳药品质量标准研究重点实验室,深圳518057 [4]深圳岭南道地药材资源开发与应用工程实验室,深圳518057 [5]沈阳药科大学医疗器械学院,沈阳110016

出　　处：《药物分析杂志》2016年第10期1863-1869,共7页Chinese Journal of Pharmaceutical Analysis

基　　金：深圳市基础研究计划基础研究项目(广东道地中草药药效物质基础和质量标准研究;项目编号:JCYJ20120830153011458)

摘　　要：目的:建立砂仁的化学模式识别方法,用于区分砂仁正品及其伪品,为寻找其代用品提供依据。方法:本文首先通过HPLC法获得64批样品的化学成分信息,建立共有模式并进行相似度计算,采用逐步判别分析方法提取特征峰,运用判别分析和主成分分析方法对砂仁及其伪品进行分类。结果:以提取的6个特征峰为变量,通过判别分析和主成分分析可将砂仁及其伪品进行准确的分类,判别准确率为100%,化学模式识别所得结果与性状鉴别结果一致。结论:本文所建立的模式识别方法能够准确有效地区分砂仁及其伪品,为砂仁的鉴别分类及质量控制提供依据。Objective：To establish a method for identification of Amomum villosum and its adulterants by pattern recognition techniques. Methods：The high performance liquid chromatography（HPLC） fingerprints of 64 batches of samples were obtained and the chromatographic data were analyzed using similarity evaluation,hierarchical principal component analysis and discriminant analysis. The software ＂Similarity Evaluation System for Chromatographic Fingerprint of TCMs（Version 2012.1）＂ was employed to carry out the similarity analysis of thesamples. The entire dataset was then divided into a training set and a test set. With supervised pattern recognition techniques,the discriminant analysis was performed by SPSS 21.0. Simca 11.5 Demo was employed to carry out the principal component analysis. Results：The results showed that the HPLC fingerprints of Amomum villosum was obviously different from its adulterants. Discriminant analysis and principal component analysis precisely predicted the whole test set. Conclusion：Fingerprint analysis assisted by pattern recognition techniques is a potential strategy for the authentication and differentiation of Amomum villosum and its adulterants. This research provided a basis for the classification and quality control of Amomum villosum.

关 键 词：砂仁 模式识别 判别分析 中药主成分分析 相似度评价 高效液相色谱法 

分 类 号：R917[医药卫生—药物分析学]