title: [Chemical pattern recognition of traditional Chinese medicine kudingcha (I)].
abstract: In this paper, the non-linear mapping method of pattern recognition was adopted to classify 78 samples of traditional Chinese medicine Kudingcha, with macro and trace elements as classified characteristic features. Ilex cornuta Lindl., Ilex latifolia Thunb. and Ligustrum lucidum Ait. were identified accurately. The results agree with those from pharmacognosy. This paper provides a new method for identification of traditional Chinese medicine.
authors.affiliation: Guangdong College of Pharmacy, Guangzhou 510224.
authors.forename: W
authors.initials: W
authors.lastname: Su
authors.forename: Z
authors.initials: Z
authors.lastname: Wu
authors.forename: J
authors.initials: J
authors.lastname: Chen
authors.forename: X
authors.initials: X
authors.lastname: He
authors.forename: J
authors.initials: J
authors.lastname: Li
mesh_terms: D004365:Drugs, Chinese Herbal / Q000032:analysis / Q000145:classification*; D001330:Electronic Data Processing / Q000379:methods; D030017:Ilex / Q000737:chemistry* / Q000145:classification; D031659:Ligustrum / Q000737:chemistry* / Q000145:classification; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D010598:Pharmacognosy; D018515:Plant Leaves / Q000033:anatomy & histology / Q000145:classification; D014131:Trace Elements / Q000032:analysis*
chemical_list: D004365:Drugs, Chinese Herbal; D014131:Trace Elements