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 CozzolinoThis 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.
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Volume
59Issue
18Start Page
10356End Page
10360Number of Pages
5eISSN
1520-5118ISSN
0021-8561Publisher
American Chemical Society, USAPublisher DOI
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Peer Reviewed
- Yes
Open Access
- No
Acceptance Date
2011-08-15External Author Affiliations
Padua University, ItalyEra Eligible
- Yes
Journal
Journal of Agricultural and Food ChemistryUsage metrics
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