title: [Discrimination of Ganoderma based on high performance liquid chromatographic fingerprints combined with chemometrics methods].
abstract: High performance liquid chromatography (HPLC)-based system was utilized for generating chemical fingerprints of 11 Ganoderma strains. The data were statistically evaluated by using chemometric methods in order to classify the samples. The similarities of all the 11 samples and the relative peak areas of 13 common peaks were newly calculated separately. Then different chemometrics methods including hierarchical cluster analysis (HCA), principal component analysis (PCA) and discriminate analysis (DA) were applied to classify the G. lucidum samples. Consistent results show that the application of HPLC fingerprint coupled with powerful chemometrics analysis in the discrimination and classification of Ganoderma is a reliable and scientific approach.
authors.affiliation: West China School of Pharmacy, Sichuan University, Chengdu 610041, China.
authors.forename: Jingli
authors.initials: J
authors.lastname: Zhang
authors.forename: Xia
authors.initials: X
authors.lastname: Luo
authors.forename: Linyong
authors.initials: L
authors.lastname: Zheng
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: Xu
authors.forename: Liming
authors.initials: L
authors.lastname: Ye
mesh_terms: D002851:Chromatography, High Pressure Liquid / Q000379:methods*; D016000:Cluster Analysis; D016002:Discriminant Analysis; D032902:Ganoderma / Q000145:classification*; D025341:Principal Component Analysis