基于高效毛细管电泳指纹数据的60种植物类中药寒热药性模式识别评价研究  

Pattern Recognition for Traditional Chinese Medicine Nature of 60 Kinds of Herbal Medicine Based on High Performance Capillary Electrophoresis Fingerprint

作　　者：王鹏[1] 周洪雷[2] 薛付忠[3] 王振国[2] 

机构地区：[1]安徽中医药大学,安徽合肥230038 [2]山东中医药大学,山东济南250355 [3]山东大学,山东济南250012

出　　处：《中药材》2013年第9期1419-1424,共6页Journal of Chinese Medicinal Materials

基　　金：国家重点基础研究发展计划项目(2007CB512600)

摘　　要：目的:建立植物类中药寒热药性特征标记模式识别模型。方法:利用高效毛细管电泳测定60味植物类中药(30味寒性、30味热性)指纹图谱,选取特征波长,经过数据处理,采用线性判别分析(LDA)、Logistic判别分析(Logistic-DA)、主成分-线性判别分析(PCA-LDA)、偏最小二乘判别分析(PLS-DA)、随机森林(RF)、支持向量机(SVM)6种分析识别方法,建立药性特征标记模式识别模型并对其进行评价。结果:SVM是基于高效毛细管电泳指纹数据的植物类中药药性特征标记适宜的识别模型,根据模型的药性特征标记理论图谱,可以得到表征单味中药寒热成分的药性特征参数,采用这一参数可识别中药寒热药性物质在HPCE指纹图谱上的特征区域,表征寒热成分的特征参数为特定保留时间上对应的识别模型理论图谱的识别系数,识别系数大于零为寒性标记,小于零为热性标记。结论:高效毛细管电泳作为中药寒热药性识别的一种分析手段是有效可行的。Objective： To establish signature pattern recognition model of cold-hot nature of herbal medicine. Methods： High performance capillary electrophoresis fingerprints of 60 kinds of herbal medicine （30 kinds of cold ,30 of hot）were established, features of wavelength were screened, 6 analysis methods such as linear discriminant analysis （ LDA ）, logistic discriminant analysis （ Logistic- DA） , principal component and linear discriminant analysis （PCA-LDA） , partial least-squares discriminant analysis （PLS-DA） , random forest （RF）and support vector machine （SVM）were used to establish and evaluate recognition model of cold-hot nature after data proeessing. Results： SVM was proved to be a suitable means of recognition model of herbal medicine cold-hot nature based on data of HPCE fingerprints. Characteristic parameters of nature could be screened according to theoretical spectra signature of nature model, the characteristic regions of components of herbs with cold-heat nature could be identified in the HPCE fingerprint. The characteristic parameters of cold-hot nature were the identifying coefficient for specific retention time of the theoretical spectra of recognition model, identification coefficients greater than zero were for the cold marker, while that less than zero for the hot marker. Conclusion： The results imply that HPCE is a feasible and effective means for identification of cold-hot nature of Traditional Chinese medicine.

关 键 词：高效毛细管电泳 中药 寒热药性 模式识别 

分 类 号：R285.1[医药卫生—中药学]