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Type: Journal article
Title: Geographic classification of Spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis
Author: Liu, L.
Cozzolino, D.
Cynkar, W.
Gishen, M.
Colby, C.
Citation: Journal of Agricultural and Food Chemistry, 2006; 54(18):6754-6759
Publisher: Amer Chemical Soc
Issue Date: 2006
ISSN: 0021-8561
Statement of
L. Liu, D. Cozzolino, W. U. Cynkar, M. Gishen, and C. B. Colby
Abstract: Visible (vis) and near-infrared (NIR) spectroscopy combined with multivariate analysis was used to classify the geographical origin of commercial Tempranillo wines from Australia and Spain. Wines (n = 63) were scanned in the vis and NIR regions (400-2500 nm) in a monochromator instrument in transmission. Principal component analysis (PCA), discriminant partial least-squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) based on PCA scores were used to classify Tempranillo wines according to their geographical origin. Full cross-validation (leave-one-out) was used as validation method when PCA and LDA classification models were developed. PLS-DA models correctly classified 100% and 84.7% of the Australian and Spanish Tempranillo wine samples, respectively. LDA calibration models correctly classified 72% of the Australian wines and 85% of the Spanish wines. These results demonstrate the potential use of vis and NIR spectroscopy, combined with chemometrics as a rapid method to classify Tempranillo wines accordingly to their geographical origin.
Keywords: Near-infrared
principal component analysis
discriminant partial least-squares
linear discriminant analysis
geographical origin
Description: Copyright © 2006 American Chemical Society
DOI: 10.1021/jf061528b
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