期刊
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
卷 205, 期 -, 页码 419-427出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2018.07.055
关键词
Near-infrared spectroscopy; Rhubarb; Artificial neural networks; Partial least squares; Processing; Geographical region
类别
资金
- University Key Research Projects of Henan Province [17A360026, 15A3500121]
- Science and Technology Research Program of Henan Province [172102310326, 1721023106161]
- National Natural Science Foundation of China [817034581, 81570723, 81673423, U1704168]
- Natural Science Foundation of Henan Province [162300410216, 182300410332]
- Research project of Xinxiang Medical University [XYBSKYZZ201626, 2016PN-KFKT-02, 2017BSQDJF]
- Cultivation Fund of Xinxiang Medical University [505095]
- Vascular remodelling intervention and molecular targeted therapy drug development Innovation team
- Cardiovascular remodelling intervention and molecular targeting drug research and development Key Laboratory
Rhubarb (Rhei Radix et Rhizoma) is a classic herbal laxative medicine in Europe and a very famous natural medicine in Asia, especially in China. In this study, near-infrared spectroscopy (NIRS) was first used for rapid and simultaneous analysis of five main active components (chrysophanol, aloe-emodin, rhein, emodin and physcion) in rhubarb of 6 geographical origins, processing and spurious samples. A total of 124 samples (73 raw, 40 processed and 11 spurious samples) were collected. With the reference values determined by HPLC, two calibration strategies, partial least squares (PLS) as a linear regression method and artificial neural networks (ANN) as a non-linear regression method, were studied. For the PLS strategy, 11 spectral pre-processing methods, 5 spectral regions and different latent variables (LVs) were systematically compared, while 3 spectral pre-processing methods and 5 ANN algorithms were studied for the ANN strategy. The results indicated that PLS was more suitable for the analysis of chrysophanol, aloe-emodin, emodin and physcion, whereas ANN was better for rhein. For the optimal NIR models of chrysophanol, aloe-emodin, rhein, emodin and physcion, the correlation coefficients of the calibration set (R-cal) were 0.9916, 0.9762, 0.9839, 0.9794 and 0.9800, respectively; the correlation coefficients of the prediction set (R-pre) were 0.9888, 0.9359, 0.9410, 0.9805 and 0.9785, respectively; the root mean square error of validation (RMSEP) were 0.0402, 0.0197, 0.0593, 0.0133 and 0.0192, respectively. Subsequently, the optimal NIR models were used to study the effects of geographical regions and processing, and identify the spurious rhubarb. Collectively, NIRS may be a well-acceptable method for quality evaluation of rhubarb and other traditional Chinese medicine (TCM). (C) 2018 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据