title: Classification of Aurantii Fructus samples by multivariate analysis.
abstract: Twenty commercial samples of Aurantii Fructus Immaturus (Poncitrus trifoliata) and 30 of Aurantii Fructus Maturus (Citrus aurantium and C. wilsonii) were collected from the Taiwan and China herbal markets. The contents of 12 constituents in these samples were determined by HPLC and were used to assess the potential relationships with their plant origins. Multivariate analysis including principal component analysis (PCA), cluster analysis (CA), and linear discriminant analysis (LDA) were used as classification procedures. Natural groupings of the samples divided into three sets successfully, 20 P. trifoliata, 15 C. aurantium, and 15 C. wilsonii, were observed by using PCA and CA. The application of LDA gave correct assignation percentages of 100.0% for all three groups.
authors.affiliation: Department of Chemistry, National Taiwan Normal University, 88 Section 4 Ting-chow Road, Taipei 11718, Taiwan.
authors.forename: Ching-Ching
authors.initials: CC
authors.lastname: Chuang
authors.forename: Wu-Che
authors.initials: WC
authors.lastname: Wen
authors.forename: Shuenn-Jyi
authors.initials: SJ
authors.lastname: Sheu
mesh_terms: D002623:Chemistry Techniques, Analytical / Q000379:methods*; D002681:China; D002851:Chromatography, High Pressure Liquid / Q000379:methods; D016000:Cluster Analysis; D004365:Drugs, Chinese Herbal / Q000737:chemistry* / Q000145:classification; D015999:Multivariate Analysis; D010802:Phylogeny; D010946:Plants, Medicinal / Q000145:classification* / Q000378:metabolism*; D025341:Principal Component Analysis; D013045:Species Specificity; D013624:Taiwan
chemical_list: D004365:Drugs, Chinese Herbal