摘要
对中药细辛的宏量及微量元素特征谱,用模式识别中的主分量分析-聚类分析联用技术进行处理,依据聚类谱系图对45个细辛样品进行鉴别分类,结果准确。本法特别适合对大批样品同时进行鉴别,值得推广应用。
In this paper, three species of traditional Chinese medicine Xixin (Asarum heterotropoides FT. var. mand-shuricum (Maxim.) kitag, Asarum sieboldii Miq. var. seoulense Nakai and Asarum sieboldii Miq.) were identified by means of chemical pattern recognition, with 26 samples as training set and 19 samples as test set. The numerical characteristic features for identification were obtained from GC-MS analysis of volatile oils, all of obtained data were treated with PRIMA (Pattern Recognition by Independent Multivariate Analysis) , thus computerized classification of Xixin samples was accomplished. The results agree with those from pharmacognosy. As a new method, chemical pattern recognition is especially suitable for identification of a large number of traditional Chinese medicine samples.
出处
《中药材》
CAS
CSCD
1999年第7期331-333,共3页
Journal of Chinese Medicinal Materials
基金
广东省自然科学基金
广东省中医药科研基金资助项目。
关键词
细辛
主分量分析
中药鉴定
模式识别
Xixin
Chemical pattern recognition
Identification of traditional Chinese medicine
GC-MS analysis
