title: [Discrimination of eleven genera of Chinese herbs in Geraniaceae by FTIR spectroscopy and clustering analysis].
abstract: A fast identification method of eleven genera of Chinese herbs in Geraniaceae was developed by the combination of Fourier transform infrared spectroscopy with clustering analysis. FTIR spectroscopy was employed to identify and analyze eleven genera of Chinese herbs in Geraniaceae. On the basis of a principal component analysis (PCA) model, three genera of Chinese herbs were rapidly classified by using the method of SIMCA clustering analysis. These samples could be successfully classified by SIMCA. Recognition rate and rejection rate reached up to 98%. The accuracy of clustering reached up to 91% during blind sample testing. It is concluded that in combination with clustering analysis, FTIR method provides an effective way to rapidly evaluate Chinese herbs in Geraniaceae.
authors.affiliation: Center of Research and Development on Life Sciences and Environment Sciences, Harbin University of Commerce, Harbin 150076, China. srs666@sina.com
authors.forename: Ren-Shuang
authors.initials: RS
authors.lastname: Sun
authors.forename: Zhe-Xiong
authors.initials: ZX
authors.lastname: Jin
authors.forename: Zhe-Peng
authors.initials: ZP
authors.lastname: Zhang
authors.forename: Chang-Hua
authors.initials: CH
authors.lastname: Xu
authors.forename: Qun
authors.initials: Q
authors.lastname: Zhou
authors.forename: Su-Qin
authors.initials: SQ
authors.lastname: Sun
mesh_terms: D016000:Cluster Analysis; D031314:Geraniaceae / Q000737:chemistry* / Q000145:classification*; D025341:Principal Component Analysis; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*