Journal
FOOD CONTROL
Volume 25, Issue 2, Pages 458-463Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.foodcont.2011.11.019
Keywords
Chinese rice wine; Ageing status; Discrimination; Chemical composition; Stepwise linear discriminant analysis
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Funding
- National Natural Science Foundation of China [30825027]
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Wine ageing status identification is of great commercial and scientific interest, as wine quality and value are closely related to the organoleptic characteristics developed during the ageing process. In this study, Chinese rice wines from three well-known wineries (Guyuelongshan, Kuaijishan and Pagoda) were analyzed for 21 chemical parameters, including six conventional parameters, five sugars, lactic acid and nine macro-elements. Then the experimental data were subjected to multivariate staiistical analysis to predict and classify samples of different ageing status (3, 9, 15, 21, and 33 months). Systematic differences between samples were revealed by a two-way analysis of variance (ANOVA) and principal component analysis (PCA). Discrimination model built by forward stepwise linear discriminant analysis (LDA) based on the 16 selected parameters achieved 88.5% accuracy in leave-one-out (LOO) cross-validation. The most five discriminant variables were Zn, Mn, alcohol, Cu and Al, respectively. When the discrimination was performed on the samples from each winery, the classification accuracy in LOO cross-validation was 97.7%, 91.1% and 78.0%, respectively. The results demonstrated that these chemical parameters have the potential to enable the authentication of ageing status of rice wine. (C) 2011 Elsevier Ltd. All rights reserved.
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