Paper
23 October 2006 Age determination of bottled Chinese rice wine by VIS-NIR spectroscopy
Haiyan Yu, Tao Lin, Yibin Ying, Xingxiang Pan
Author Affiliations +
Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 638109 (2006) https://doi.org/10.1117/12.686842
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
Abstract
The feasibility of non-invasive visible and near infrared (VIS-NIR) spectroscopy for determining wine age (1, 2, 3, 4, and 5 years) of Chinese rice wine was investigated. Samples of Chinese rice wine were analyzed in 600 mL square brown glass bottles with side length of approximately 64 mm at room temperature. VIS-NIR spectra of 100 bottled Chinese rice wine samples were collected in transmission mode in the wavelength range of 350-1200 nm by a fiber spectrometer system. Discriminant models were developed based on discriminant analysis (DA) together with raw, first and second derivative spectra. The concentration of alcoholic degree, total acid, and °Brix was determined to validate the NIR results. The calibration result for raw spectra was better than that for first and second derivative spectra. The percentage of samples correctly classified for raw spectra was 98%. For 1-, 2-, and 3-year-old sample groups, the sample were all correctly classified, and for 4- and 5-year-old sample groups, the percentage of samples correctly classified was 92.9%, respectively. In validation analysis, the percentage of samples correctly classified was 100%. The results demonstrated that VIS-NIR spectroscopic technique could be used as a non-invasive, rapid and reliable method for predicting wine age of bottled Chinese rice wine.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haiyan Yu, Tao Lin, Yibin Ying, and Xingxiang Pan "Age determination of bottled Chinese rice wine by VIS-NIR spectroscopy", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 638109 (23 October 2006); https://doi.org/10.1117/12.686842
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KEYWORDS
Spectroscopy

Calibration

Near infrared

Statistical analysis

Near infrared spectroscopy

Mahalanobis distance

Statistical modeling

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