Journal
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
Volume 122, Issue -, Pages 1115-1119Publisher
ELSEVIER
DOI: 10.1016/j.ijbiomac.2018.09.060
Keywords
Near-infrared spectroscopy; Chemometrics; Polysaccharide contents; Calibration model; Geographical regions distinguish
Funding
- Natural Science Foundation of China [81603400, 81673585]
- Hunan Provincial Key Laboratory of Diagnostics in Chinese Medicine Open Fund [2015ZYZD13]
- National Standard Project of Chinese Medicine [ZYBZH-Y-HUN-21]
- Key Research and Development Project of Hunan Provincial Science and Technology Department [2016SK2048]
- Program of Survey and Monitoring of Chinese Medicines for National Drugs [[2011] 76]
- Research on the Comprehensive Development and Utilization of Characteristic Traditional Chinese Medicine Resources [2060302-1607-01]
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In this study, a calibration model based on Near-infrared spectroscopy (NIR) technique and chemometrics method was developed for rapid and non-destructive detecting the polysaccharide contents of lentinula edodes samples collected from different regions. The polysaccharide contents of these samples were firstly determined by standard phenol-sulphruic acid method. Then, NIR spectra of these samples were collected by using Fourier transform infrared spectrometry. Based on these experimental data, a random forest method was further used to distinguish the regions of these samples, with a classification accuracy of 96.6%. After that, a rapid, accurate, and quantitative model was established for predicting the polysaccharide contents of these samples. In the model establishing process, some signal pre-treatment methods were optimized, and the validation results with highest determination coefficient (R-2) and low root mean square errors of prediction (RMSEP) were, 0.925 and 0.720, respectively. These results showed that combined NIR technique with chemometrics was an effective and green method for lentinula edodes quality control. (C) 2018 Elsevier B.V. All rights reserved.
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