This study outlines the use of mid-infrared (MIR) spectroscopy combined with principal component analysis (PCA) and linear discriminant analysis (LDA) for the varietal classification of commercial red and white table wines. Three red varieties (Cabernet Sauvignon, Shiraz and Merlot) and four white varieties (Chardonnay, Riesling, Sauvignon Blanc and Viognier) were sourced from different wine regions in Australia. Wine samples were scanned in transmission on a FOSS WineScan FT 120 from wave numbers 926 to 5012 cm-1. All samples were sourced from the 2006 vintage and had not been blended with any other variety or wine from other regions. Spectral data were reduced to a small number of principal components (PCs) and LDA was then performed to successfully separate the wines into the different varieties. To test the robustness of the LDA models developed for the red wines, a set of red wines scanned in 2005 were used. Correct classification of over 95% was achieved for the validation set. © 2007 Elsevier B.V. All rights reserved.

Item Type:	Refereed Article
Research Division:	Agricultural, Veterinary and Food 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
UTAS Author:	Dambergs, RG (Dr Robert Dambergs)
ID Code:	78201
Year Published:	2008
Web of Science® Times Cited:	74
Deposited By:	Agricultural Science
Deposited On:	2012-06-17
Last Modified:	2021-10-06
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