Geographic classification of spanish and Australian tempranillo red wines by visible and near-infrared spectroscopy combined with multivariate analysis.
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.
Liu
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L
School of Chemical Engineering, Engineering North Building, The University of Adelaide, Adelaide SA 5005, Australia.
Cozzolino
D
D
Cynkar
W U
WU
Gishen
M
M
Colby
C B
CB
D000704:Analysis of Variance; D001315:Australia; D016002:Discriminant Analysis; D006863:Hydrogen-Ion Concentration; D013030:Spain; D019265:Spectroscopy, Near-Infrared; D013057:Spectrum Analysis; D014920:Wine / Q000032:analysis* / Q000145:classification*