Metabolomics-based authentication of wines according to grape variety

Leos Uttl, Kamila Hurkova, Vladimir Kocourek, Jana Pulkrabova, Monika Tomaniova and Jana Hajslova
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Leos Uttl: Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Prague, Czech Republic
Kamila Hurkova: Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Prague, Czech Republic
Vladimir Kocourek: Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Prague, Czech Republic
Jana Pulkrabova: Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Prague, Czech Republic
Monika Tomaniova: Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Prague, Czech Republic

Czech Journal of Food Sciences, 2019, vol. 37, issue 4, 239-245

Abstract: In 2008, the European Commission highlighted the risk of wine mislabelling regarding the geographical origin and varietal identification. While analytical methods for the identification of wine by geographical origin exist, a reliable strategy for authentication of wine variety is still missing. Here, we investigate the suitability of the metabolomic fingerprinting of ethyl acetate wine extracts, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. In total, 43 white wine samples (three varieties) were analysed within our study. The generated data were processed by principal component analysis and then by partial least squares discriminant analysis. The resulting statistical models were validated and assessed according to their R2 (cum) and Q2 (cum) parameters. The most promising models were based on positive ionisation data, enabling successful classification of 92% of wine samples.

Keywords: authentication; chemometrics; metabolomics; U-HPLC-HRMS/MS; wine variety (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjf:v:37:y:2019:i:4:id:82-2019-cjfs

DOI: 10.17221/82/2019-CJFS

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