Identifying the Age and Geographical Origin of Chinese Rice Wine by Olfactory Fingerprints
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Abstract:
This study was performed to establish a method that can quickly and accurately identify the age and origin of Chinese rice wine. A nultra-fast gas chromatography-based electronic nose (E-nose) was used to collect olfactory fingerprints of wine samples from different age and origins. Dimension reduction of the olfactory fingerprints was performed using principal component analysis (PCA) followed by discriminant factor analysis (DFA), to establish a model for the purpose of this study. After dimension reduction by PCA, the points of one-year-old and three-year-old base wine samples fell in similar regions, as did the points of seven-year-old and nine-year-old base wine samples; the results indicated that the fifth year was a turning point in the aging process of base wine. The correct identification rate model built using DFA for rice wine was 100%. After the dimension reduction by PCA, obvious differences were observed between rice wine samples from Shaoxing and Shanghai/Jiashan/Nantong. The DFA models for the identification of geographical origin showed that the correct identification rates were 100%. The results demonstrate that the model built using an E-nose in combination with chemometric methods could be used for the identification of age and geographical origin of Chinese rice wine.
