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

journal contribution
posted on 2024-11-02, 09:20 authored by Roberto Riovanto, Wies Cynkar, Paolo 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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1021/jf202578f
  2. 2.
    ISSN - Is published in 00218561

Journal

Journal of Agricultural and Food Chemistry

Volume

59

Issue

18

Start page

10356

End page

10360

Total pages

5

Publisher

American Chemical Society

Place published

United States

Language

English

Copyright

© 2011 American Chemical Society

Former Identifier

2006089727

Esploro creation date

2020-06-22

Fedora creation date

2019-04-30

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