Characterization of Gentiana rigescens by Ultraviolet–Visible and Infrared Spectroscopies with Chemometrics. (13th June 2017)

• Record Type: Journal Article
• Authors: Qi, LuMing; Zhang, Ji; Zhao, YanLi; Zuo, ZhiTian; Wang, Yuan-Zhong; Jin, Hang
• Is Part Of: Analytical letters. Volume 50:Number 9(2017)
• Page Start: 1497
• Page End: 1511
• Publication Date: 2017-06-13
• Subjects: Data fusion -- Gentiana rigescens -- infrared spectroscopy -- ultraviolet–visible spectroscopy; Chemistry, Analytic -- Periodicals; Chemistry, Analytic -- Abstracts; 543
• DOI: 10.1080/00032719.2016.1225751
• Languages: English
• ISSNs: 0003-2719

Abstract

ABSTRACT: 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.