Yu H Y, Ying B, Sun T, Niu X Y, Pan X X
College of Biosystems Engineering and Food Science, Zhejiang University, 268 Kaixuan St., Hangzhou 310029, China.
J Food Sci. 2007 Apr;72(3):E125-9. doi: 10.1111/j.1750-3841.2007.00308.x.
The feasibility of noninvasive visible and near infrared (VIS-NIR) spectroscopy for determining vintage year of Chinese rice wine was investigated. VIS-NIR spectra of 100 samples were collected in transmission mode in 600-mL square brown glass bottles by a fiber spectrometer system. Discriminant models were developed based on discriminant analysis (DA) together with raw, 1st, and 2nd derivative spectra. The concentration of alcohol content, total acid, and degrees Brix was determined to validate the VIS-NIR results. The calibration result for raw spectra was better than that for 1st and 2nd derivative spectra. The percentage of samples correctly classified for raw spectra was 97.1%. For the sample groups in the vintage years of 2002, 2003, and 2004, the samples were all correctly classified. And for the 2000 and 2001 sample groups, the percentage of samples correctly classified was 92.9%. In validation analysis, the samples were all correctly classified. The results demonstrated that the VIS-NIR spectroscopic technique could be used as a noninvasive and rapid method for predicting vintage year of bottled Chinese rice wine.
研究了采用无创可见近红外（VIS-NIR）光谱法测定中国黄酒年份的可行性。通过光纤光谱仪系统，以透射模式在600毫升方形棕色玻璃瓶中采集了100个样品的VIS-NIR光谱。基于判别分析（DA）以及原始光谱、一阶导数光谱和二阶导数光谱建立了判别模型。测定了酒精含量、总酸和波美度的浓度以验证VIS-NIR结果。原始光谱的校准结果优于一阶导数光谱和二阶导数光谱。原始光谱正确分类的样品百分比为97.1%。对于2002年、2003年和2004年年份的样品组，所有样品均被正确分类。对于2000年和2001年的样品组，正确分类的样品百分比为92.9%。在验证分析中，所有样品均被正确分类。结果表明，VIS-NIR光谱技术可作为一种无创、快速的方法来预测瓶装中国黄酒的年份。
