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Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics

Citation

Cynkar, W and Dambergs, RG and Smith, P and Cozzolino, D, Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics, Analytica Chimica Acta, 660, (1-2) pp. 227-231. ISSN 0003-2670 (2010) [Refereed Article]

DOI: doi:10.1016/j.aca.2009.09.030

Abstract

Rapid methods employing instruments such as electronic noses (EN) or gas sensors are used in the food and beverage industries to monitor and assess the composition and quality of products. Similar to other food industries, the wine industry has a clear need for simple, rapid and cost effective techniques for objectively evaluating the quality of grapes, wine and spirits. In this study a mass spectrometry based electronic nose (MS-EN) instrument combined with chemometrics was used to predict the geographical origin of Tempranillo wines produced in Australia and Spain. The MS-EN data generated were analyzed using principal components analysis (PCA), partial least squares discriminant analysis (PLS-DA) and stepwise linear discriminant analysis (SLDA) with full cross validation (leave-one-out method). The SLDA classified correctly 86% of the samples while PLS-DA 85% of Tempranillo wines according to their geographical origin. The relative benefits of using MS-EN will provide capability for rapid screening of wines. However, this technique does not provide the identification and quantitative determination of individual compounds responsible for the different aroma notes in the wine. © 2009 Elsevier B.V. All rights reserved.

Item Details

Item Type:Refereed Article
Research Division:Agricultural and Veterinary Sciences
Research Group:Horticultural Production
Research Field:Oenology and Viticulture
Objective Division:Plant Production and Plant Primary Products
Objective Group:Industrial Crops
Objective Field:Wine Grapes
Author:Dambergs, RG (Dr Robert Dambergs)
ID Code:60546
Year Published:2010
Web of Science® Times Cited:91
Deposited By:Agricultural Science
Deposited On:2010-02-11
Last Modified:2011-04-14
Downloads:0

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