期刊
FOOD CHEMISTRY
卷 113, 期 1, 页码 291-296出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2008.06.083
关键词
Vis-NIR spectroscopy; On-line; LS-SVM; Rice wine composition
资金
- National Key Technology RD Program [2006BAD11A12]
- National Science Foundation for Postdoctor of China [20070410400]
The feasibility of visible and near infrared (Vis-NIR) spectroscopy and least-squares support vector machines (LS-SVM) for on-line determination of rice wine composition was investigated. A circle-light fibre spectrometer system was designed to collect trans reflectance spectra of rice wine samples in round brown glass bottles with the bottle sealed and the labels removed. Statistical equations were established between reference data and Vis-NIR spectra by LS-SVM. Compared to partial least squares regression (PLSR), the performance of LS-SVM was slightly better, with higher correlation coefficients for validation (r(val)) of 0.915, 0.888 and 0.872, and lower root mean square error of validation (RMSEP) of 0.168 (%(VV-1)), 0.146 (g L-1) and 0.033 for alcohol content, titratable acidity, and pH, respectively. Based on the results, it was concluded that the Vis-NIR spectrometer system was suitable for on-line wine quality determination, and LS-SVM was a reliable multivariate method for NIR analysis. (C) 2008 Elsevier Ltd. All rights reserved.
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