SCHARTNER, Michael; BECK, Jeff M.; LABOYRIE, Justine; RIQUIER, Laurent; MARCHAND MARION, Stephanie; POUGET, Alexandre

doi:10.1038/s42004-023-01051-9

Unité de Recherche Œnologie [Villenave d'Ornon] [OENO]

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Communications Chemistry. 2023-12-05, vol. 6, n° 1

Résumé en anglais

Connecting chemical properties to various wine characteristics is of great interest to the science of olfaction as well as the wine industry. We explored whether Bordeaux wine chemical identities and vintages (harvest year) can be inferred from a common and affordable chemical analysis, namely, a combination of gas chromatography (GC) and electron ionization mass spectrometry. Using 12 vintages (within the 1990–2007 range) from 7 estates of the Bordeaux region, we report that, remarkably, nonlinear dimensionality reduction techniques applied to raw gas chromatograms recover the geography of the Bordeaux region. Using machine learning, we found that we can not only recover the estate perfectly from gas chromatograms, but also the vintage with up to 50% accuracy. Interestingly, we observed that the entire chromatogram is informative with respect to geographic location and age, thus suggesting that the chemical identity of a wine is not defined by just a few molecules but is distributed over a large chemical spectrum. This study demonstrates the remarkable potential of GC analysis to explore fundamental questions about the origin and age of wine. © 2023, The Author(s).< Réduire

Mots clés en anglais

Red wine

Chemical identities

Vintages

Gas chromatography

URI

https://oskar-bordeaux.fr/handle/20.500.12278/199190

DOI

http://dx.doi.org/10.1038/s42004-023-01051-9

Unités de recherche

Oenologie - UMR 1366

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Predicting Bordeaux red wine origins and vintages from raw gas chromatograms

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Résumé en anglais

Mots clés en anglais

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Unités de recherche