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Discrimination between Shiraz wines from different Australian regions: The role of spectroscopy and chemometrics

journal contribution
posted on 2018-08-07, 00:00 authored by R Riovanto, WU Cynkar, P Berzaghi, Daniel Cozzolino
This study reports the use of UV-visible (UV-vis), near-infrared (NIR), and midinfrared (MIR) spectroscopy combined with chemometrics to discriminate among Shiraz wines produced in five Australian regions. In total, 98 commercial Shiraz samples (vintage 2006) were analyzed using UV-vis, NIR, and MIR wavelength regions. Spectral data were interpreted using principal component analysis (PCA), linear discriminant analysis (LDA), and soft independent model of class analogy (SIMCA) to classify the wine samples according to region. The results indicated that wine samples from Western Australia and Coonawarra can be separated from the other wines based on their MIR spectra. Classification results based on MIR spectra also indicated that LDA achieved 73% overall correct classification, while SIMCA 95.3%. This study demonstrated that IR spectroscopy combined with chemometric methods can be a useful tool for wine region discrimination. © 2011 American Chemical Society.

Funding

Other

History

Volume

59

Issue

18

Start Page

10356

End Page

10360

Number of Pages

5

eISSN

1520-5118

ISSN

0021-8561

Publisher

American Chemical Society, USA

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2011-08-15

External Author Affiliations

Padua University, Italy

Era Eligible

  • Yes

Journal

Journal of Agricultural and Food Chemistry