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Analysis and Discrimination of the Medicinal Plants Swertia Davidi Franch Based on Infrared Spectroscopy

文献类型： 外文期刊

作者： Di Zhun 1 ; Zhao Yan-li 2 ; Zuo Zhi-tian 2 ; Long Hua 1 ; Zhang Xue 3 ; Wang Yuan-zhong 2 ; Li Li 1 ;

作者机构： 1.Jishou Univ, Resources & Environm Sci, Jishou 416000, Peoples R China

2.Yunnan Acad Agr Sci, Inst Med Plants, Kuming 650200, Peoples R China

3.Yunnan Technician Coll, Anning 650300, Peoples R China

关键词： Infrared spectroscopy;Origin discrimination;Swertia davidi Franch;Hierarchical cluster analysis;Partial least squares discriminant analysis

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2016 年 36 卷 2 期

页码：

收录情况： SCI

摘要： Fourier transform infrared spectroscopy combined with partial least squares discriminate analysis (PLS-DA) and hierarchical cluster analysis (HCA) were used to rapidly discriminate the Swertia davidi Franch which collected from different origins. The original infrared spectra data of different parts of all the 70 samples which collected from four different regions were preprocessed by automatic calibration, automatic smoothing, the first derivative and the second derivative. Then the processed data were imported into OMNIC 8. 2 and the absorption peaks were compared; PLS-DA was performed by SIMCA-P+ 10. 0 and the effect of discrimination of different origins was compared by 3D score plot of the first three principal components; the infrared spectral data were imported into SPSS 19. 0 for HCA to compare classification results of different parts by the dendrogram. The results showed that: (1) There were differences among the spectra of the roots of different origins in the spectral peaks in 1 739, 1 647, 1 614, 1 503, 1 271, 1 243, 1 072 cm(-1). The spectra of the stems of different origins showed differentiation in the wavelength in 1 503, 1 270, 1 246 cm(-1); (2) The characteristic peaks of different parts of the same origin were different; (3) PLS-DA indicated that the data which were processed by automatic correction, automatic smoothing and second derivative have showed the best classification. In addition, the discrimination of roots which collected from different origins could be the best; (4) Tree diagram of HCA showed that the accuracy rate of cluster in roots, stems and leaves were 83%, 56%, and 70%, respectively. In conclusion: FTIR combined with PLS-DA and HCA can rapidly and accurately differentiate S. davidi that collected from different origins, the origin discrimination effect of different parts was clearly different that the classification of roots is the best, the second derivative could enhance the specificity of the samples, the classification in 3D score plot could be visualized and obvious.

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