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The Study Of Chinese Rose By Fourier Transform Infrared Spectroscopy

Posted on:2017-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:H C YuFull Text:PDF
GTID:2283330503973267Subject:Optics
Abstract/Summary:PDF Full Text Request
The conventional method to identify Chinese rose varieties is based on morphology, which is subjective, and lacks chemical information. And the method of chemical analysis is complicated and time consuming. In this dissertation, the Chinese rose varieties as well as the genetic relationships among the varieties studied by Fourier transform infrared spectroscopy(FTIR) and two-dimensional correlation infrared spectroscopy(2D-IR) combined with chemometrics analysis.The results show that different varieties of Chinese roses share similar infrared spectra which are mainly made up of polysaccharide, phenols, lipids and glycosides.There exists obvious differences in the second derivative spectra in 1800 ~ 700 cm-1region which were selected to perform principal component analysis(PCA),hierarchical cluster analysis(HCA) and correlation analysis using SPSS softwar. The contribution of the PCA accounts to 97.40%, and yields classification accuracy of100%. While using the spectra of the Chinese rose leaves, the contribution of the PCA accounts to 97.72%, and the classification accuracy accounts to 95%.The genetic relationships among 13 specific of Chinese rose studied by FTIR technology combined with HCA and correlation analysis. In the correlation analyses,the highest correlation coefficient accounts to 0.981, this means the two varieties of Chinese rose share close relationship with each other. The results of the correlation analysis accord with thoses of clustering analysis. There is some relevancy between the outcomes of correlation analysis and clustering analysis and the type and color of Chinese rose varieties, but this kind of relation is not entirely related.Fourier transform infrared spectroscopy(FTIR) combined with PCA and two-dimensional correlation infrared spectroscopy(2D-IR) was applied to identify the Chinese rose varieties. The significant differences in the position, intensity ofauto-peaks and cross peaks were obvious in the range of 1700 ~ 1330 cm-1and 1300~ 950 cm-1 of Chinese rose and in the range of 1500 ~ 1275 cm-1 and 1700 ~ 1520cm-1 of Chinese rose leaves. It is demonstrated that Fourier transform infrared spectroscopy and two-dimensional correlation infrared spectroscopy combined with chemometrics analysis can be use to distinguish between Chinese rose cultivars.
Keywords/Search Tags:Fourier transform infrared spectroscopy, Chinese rose, Leaves, Principal component analysis, Hierarchical cluster analysis, Two-dimensional infrared correlation spectroscopy, Correlation analysis
PDF Full Text Request
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