摘要
以26个细辛样品为训练集,以19个细辛样品为试验集,采用化学模式识别技术对3种细辛(北细辛、汉城细辛、华细辛)进行鉴别。本研究从细辛挥发油GC-MS中获得数量化分类特征,经PRIMA法处理,实现了计算机对所有样品的鉴别分类,所得结果与实际相符。本文对中药现代化研究有积极意义。
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6期279-283,共5页
Journal of Chinese Medicinal Materials
基金
广东省自然科学基金
关键词
细辛
化学模式识别
中药鉴定
Xixin
Chemical pattern recognition
Identification of traditional Chinese medicine
GC-MS analysis
