IDENTIFICATION OF AGING STATUS OF CHINESE RICE WINE USING FOURIER TRANSFORM NEAR-INFRARED SPECTROSCOPY

It is well known that wine quality and value are closely related to the organoleptic characteristics developed during the aging process. Therefore, the correct characterization of wine aging status is of great commercial and scientific interest. In this study, Fourier transform near-infrared (FT-NIR) spectroscopy has been applied as a rapid tool for discrimination of different aging times (3, 9, 15, 21, 27, and 33 months) of Chinese rice wines aged in ceramic pots. The chemical compositions of rice wines were also determined to investigate the difference between samples of various aging times. Discrimination analysis was then carried out by principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares discriminant analysis (PLS-DA). The overall correct classification rates obtained by LDA and PLS-DA in the prediction were both 96.7%. The results demonstrate that NIR spectroscopy may be suitable for the identification of aging status of Chinese rice wine.