Characterization of Gentiana rigescens by Ultraviolet-Visible and Infrared Spectroscopies with Chemometrics
文献类型： 外文期刊
作者： Qi, LuMing 1 ; Zhang, Ji 2 ; Zhao, YanLi 2 ; Zuo, ZhiTian 2 ; Wang, Yuan-Zhong 2 ; Jin, Hang 2 ;
作者机构： 1.Yunnan Univ Tradit Chinese Med, Coll Tradit Chinese Med, Kunming, Peoples R China
2.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Peoples R China
关键词： Data fusion;Gentiana rigescens;infrared spectroscopy;ultraviolet-visible spectroscopy
期刊名称：ANALYTICAL LETTERS （ 影响因子：2.329； 五年影响因子：1.738 ）
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收录情况： SCI
摘要： Gentiana rigescens is a medicinal plant for treatment of rheumatism, convulsions, and jaundice. The present paper reports the potential for chemometric characterization of G. rigescens using ultraviolet-visible and infrared spectroscopies, individually and together. Low- and mid-level data fusions were considered in this study. Partial least square discriminant analysis and support vector machine were used to analyze single and fused spectral data, respectively. The data fusion strategy improved the classification capacity. In particular, the mid-level data fusion provided the best results by selecting important variance from the data matrixes, with 100% correct classification of test samples by partial least square discriminant analysis and support vector machine characterization. The results demonstrated that the combined use of ultraviolet-visible and infrared spectroscopies is more suitable for the discrimination of G. rigescens than the individual methods.
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