title: [Chemical pattern recognition of traditional Chinese medicine xixin (I)].
abstract: In this paper, three species of traditional Chinese medicine Xixin (Asarum heterotropoides Fr. var. mandshuricum (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.
authors.affiliation: Guangdong College of Pharmacy, Guangzhou 510224.
authors.forename: W
authors.initials: W
authors.lastname: Su
mesh_terms: D030023:Asarum / Q000737:chemistry / Q000145:classification*; D001330:Electronic Data Processing; D008401:Gas Chromatography-Mass Spectrometry; D009822:Oils, Volatile / Q000737:chemistry* / Q000302:isolation & purification; D010363:Pattern Recognition, Automated; D010598:Pharmacognosy / Q000592:standards; D010946:Plants, Medicinal / Q000737:chemistry / Q000145:classification*; D011786:Quality Control
chemical_list: D009822:Oils, Volatile