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Can spectroscopy geographically classify Sauvignon Blanc wines from Australia and New Zealand?

journal contribution
posted on 2018-08-08, 00:00 authored by Daniel CozzolinoDaniel Cozzolino, WU Cynkar, N Shah, PA Smith
The combination of UV, visible (Vis), near-infrared (NIR) and mid-infrared (MIR) spectroscopy with multivariate data analysis was explored as a tool to classify commercial Sauvignon Blanc (Vitis vinifera L., var. Sauvignon Blanc) wines from Australia and New Zealand. Wines (n = 64) were analysed in transmission using UV, Vis, NIR and MIR regions of the electromagnetic spectrum. Principal component analysis (PCA), soft independent modelling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA) were used to classify Sauvignon Blanc wines according to their geographical origin using full cross validation (leave-one-out) as a validation method. Overall PLS-DA models correctly classified 86% of the wines from New Zealand and 73%, 86% and 93% of the Australian wines using NIR, MIR and the concatenation of NIR and MIR, respectively. Misclassified Australian wines were those sourced from the Adelaide Hills of South Australia. These results demonstrate the potential of combining spectroscopy with chemometrics data analysis techniques as a rapid method to classify Sauvignon Blanc wines according to their geographical origin. © 2010 Elsevier Ltd. All rights reserved.

Funding

Category 3 - Industry and Other Research Income

History

Volume

126

Issue

2

Start Page

673

End Page

678

Number of Pages

6

ISSN

0308-8146

Publisher

Elsevier BV

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2010-11-02

External Author Affiliations

Australian Wine Research Institute

Era Eligible

  • Yes

Journal

Food Chemistry

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