Geographical classification of some Australian wines by discriminant analysis using HPLC with UV and chemiluminescence detection |
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Authors: | SA Bellomarino RM Parker MJ Adams |
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Institution: | a School of Life and Environmental Sciences, Deakin University, Geelong, Vic. 3217, Australia b Institute for Technology Research and Innovation, Deakin University, Geelong, Vic. 3217, Australia c Applied Chemistry, School of Applied Sciences, RMIT University, GPO Box 2476V, Melbourne, Vic. 3001, Australia |
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Abstract: | HPLC with UV and acidified potassium permanganate chemiluminescence detection, combined with multivariate data analysis techniques, were used for the geographical classification of some Australian red (Cabernet Sauvignon) and white (Chardonnay) wines from two regions (Coonawarra and Geelong). Identification of the wine constituents prominent in the chromatography was performed by mass spectrometry. Principal components analysis and linear discriminant analysis were used to classify the wines according to region of production. Separation between regions was achieved with both detection systems and key components leading to discrimination of the wines were identified. Using two principal components, linear discriminant analysis with UV detection correctly classified 100% of the Chardonnay wines and, overall 91% of the Cabernet Sauvignon wines. With acidified potassium permanganate chemiluminescence detection, 75% of the Chardonnay wines and 94% of the Cabernet Sauvignon wines were correctly classified using two factors. |
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Keywords: | HPLC Wine classification Chemiluminescence Chemometrics Principal components analysis Discriminant analysis |
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