Discrimination of Eleven Genera of Chinese Herbs in Geraniaceae by FTIR Spectroscopy and Clustering Analysis
SUN Ren-shuang1, JIN Zhe-xiong1*, ZHANG Zhe-peng1, XU Chang-hua2, ZHOU Qun2, SUN Su-qin2*
1. Center of Research and Development on Life Sciences and Environment Sciences, Harbin University of Commerce, Harbin 150076, China 2. Department of Chemistry, Tsinghua University, Beijing 100084, China
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.
Key words:Geraniaceae;FTIR;Clustering analysis;Identification of plant varieties
孙仁爽1,金哲雄1*,张哲鹏1,许长华2,周 群2,孙素琴2* . 牻牛儿苗科11种中药材红外光谱鉴定及聚类分析 [J]. 光谱学与光谱分析, 2013, 33(02): 371-375.
SUN Ren-shuang1, JIN Zhe-xiong1*, ZHANG Zhe-peng1, XU Chang-hua2, ZHOU Qun2, SUN Su-qin2* . Discrimination of Eleven Genera of Chinese Herbs in Geraniaceae by FTIR Spectroscopy and Clustering Analysis. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(02): 371-375.
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