Sensory impact of polyphenolic composition on the oxidative notes of Chardonnay wines
2018
Ballester, Jordi | Magne, Mathilde | Julien, Perrine | Noret, Laurence | Nikolantonaki, Maria | Coelho, Christian | Gougeon, Régis | Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA) ; Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS) | Université Bourgogne Franche-Comté [COMUE] (UBFC) | Institut Universitaire de la Vigne et du Vin "Jules Guyot" (IUVV Jules Guyot) ; Université de Bourgogne (UB) | The IABECA research federation working on Agriculture, Biodiversity, Environment, Behavior and Food.
Open access article (17 p.).
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Afficher plus [+] Moins [-]anglais. Chardonnay wines have a long-standing reputation regarding their aging potential. However, in some cases, they face premature oxidation a few years after bottling. Scientific reports are, for now, multiparametric and unclear. Polyphenols seem to be an important factor involved in the oxidative stability of white wines, but their role has not yet been completely characterized. The present study aimed to investigate the link between polyphenol content and the emergence of oxidative odors of bottle-aged Chardonnay wines. In order to obtain samples with noticeable differences in polyphenol content, as well as in sensory oxidative notes, wines from two different vintages were used. For each vintage, three levels of must clarification and two wine closures were implemented. Polyphenol content was analyzed chemically, and the oxidative character was assessed sensorially by a trained panel using a specific intensity scale. The results showed significant effects for closure type and turbidity. However, these effects were strongly affected by vintage. Concerning the polyphenol content, a clear difference was also found between vintages, closures and turbidity levels. Significant linear regression models for REDOX scores pointed out Flavon-3-ols as the main negative predictor, and grape reaction product (GRP) as the main positive predictor. The enological implications are discussed.
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