alexa The Australian Wine Research Institute, P.O. Box 197, Adelaide, Glen Osmond, SA 5064, Australia


Journal of Food & Industrial Microbiology

Author(s): Daniel Cozzolino, Paul A Smith, Wies U Cynkar, Robert G Dambergs, Matt Holdstock

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The combination of mid infrared (MIR) spectroscopy and multivariate analysis was explored as a tool to classify commercial wines sourced from organic (ORG) and non-organic (NORG) production systems. Commercial ORG (n = 57) and NORG (n = 115) red and white wine samples from 13 growing regions in Australia were analysed using a MIR spectrophotometer. Discriminant models based on MIR spectra were developed using principal component analysis (PCA), discriminant partial least squares (DPLS) regression and linear discriminant analysis (LDA). Overall, the LDA models based on the PCA scores correctly classified on average, more than 75% of the wine samples while the DPLS models correctly classified more than 85% of the wines belonging to ORG and NORG production systems, respectively. These results showed that MIR combined with discriminant techniques might be a suitable method that can be easily implemented by the wine industry to classify wines produced under organic systems.

This article was published in Food Chemistry and referenced in Journal of Food & Industrial Microbiology

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