Title: Comparative study on FTIR fingerprint of wild Premna fulva based on principal component analysis and cluster analysis
Abstract: In order to identify and in-depth excavate the differences of chemical compositions in Premna fulva from different regions,inrared spectra of multi-region sampled individuals were detected using the fourier transform infrared spectroscopy.After that,chemometrics methods including principal component analysis,clustering analysis and principal component loading factors were utilitied to pretreat original spectra data.The results showed that:(1)in 3 dimensional scatter maps,among the different samples,the distance between Pingguo and Fusui of Guangxi was nearest,so the natural consequence,the distances of the samples from these two places were nearest,while the real distance from Tiane to Fusui and Tianyang was further in Guangxi,the distances of the samples among these three places were also further in 3 dimensional scatter maps.In addition,geographical position of Yunnan and Guizhou were far from Guangxi,the results showed that scatter plot chart on distance were also deviated from Guangxi all around.(2)The principal component analysis model results was verified by clustering analysis and had similar consequences,while,as far as the two methods were concerned,they had individual characteristic,compared with the method of principal component analysis,clustering analysis chart could be accurately classified the research objects on each distance level,but it was difficult to directly reflect the interrelationship among research objects.(3)Through extracting the loading factor based on principal component analysis,the result indicated that the differences of quality of P.fulva among different regions mainly represented in the different contents of chemical components including naringenin,vanillic acid,syrinaresiol,polysaccharide and glycosides.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
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Cited By Count: 1
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