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Evaluation of ultraviolet, visible, and near infrared spectroscopy for the analysis of wine compounds

Author

Listed:
  • María J. MARTELO-VIDAL

    (Department of Analytical Chemistry, Faculty of Veterinary Science, University of Santiago de Compostela, Lugo, Spain)

  • Manuel VÁZQUEZ

    (Department of Analytical Chemistry, Faculty of Veterinary Science, University of Santiago de Compostela, Lugo, Spain)

Abstract

Spectroscopy of UV-VIS-NIR combined with chemometric analyses was used as a non-destructive technique to build models for the quantitative characterisation of the main compounds of wine. The work in mixtures can give insight into how interferences affect the performance of calibrations in wines. Ethanol, glycerol, glucose, tartaric acid, malic acid, lactic acid, and acetic acid were evaluated as pure compounds and in mixtures. Different pre-treatments for the spectra and modelling strategies such as partial least squares (PLS) regression or Principal Component Regression (PCR) were evaluated. All pure compounds studied showed a good relationship between spectra and concentrations. However, interferences were observed in the mixtures and only good models for ethanol, tartaric acid, and malic acid were obtained. The best model was obtained in the NIR region for ethanol and in the UV region for tartaric acid and malic acid. The results indicate that NIR spectroscopy could be used as an alternative to conventional chemical methods for ethanol determination and UV spectroscopy for the determination of tartaric acid and malic acid.

Suggested Citation

  • María J. MARTELO-VIDAL & Manuel VÁZQUEZ, 2014. "Evaluation of ultraviolet, visible, and near infrared spectroscopy for the analysis of wine compounds," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 32(1), pages 37-47.
    • Handle: RePEc:caa:jnlcjf:v:32:y:2014:i:1:id:167-2013-cjfs
    DOI: 10.17221/167/2013-CJFS
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    Cited by:

    1. Virág Csorba & Marietta Fodor & Szilvia Kovács & Magdolna Tóth, 2019. "Potential of fourier transformed near-infrared (FT-NIR) spectroscopy for rapid analysis of elderberry (Sambucus nigra L.) fruits," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 37(1), pages 21-28.

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