WAC 2022 banner
IVES 9 IVES Conference Series 9 WAC 9 WAC 2022 9 3 - WAC - Oral 9 Rationalizing The Wine Nucleophilic Competition For Quinone Addition

Rationalizing The Wine Nucleophilic Competition For Quinone Addition

Abstract

Protecting white wine against early oxidation is a worldwide issue, because the uncontrolled oxidation of wine promotes aromatic loss and color browning which lead to wine unacceptance by consumers. These changes are mainly driven by the consumption of oxygen by polyphenols leading to the production of quinones which are oxidant compounds. Quinones can react with numerous nucleophilic compounds notably aromatic thiols, decreasing the aromatic bouquet of the wine.

The nucleophilic addition reaction of standard compounds on 4 methyl-1,2-benzoquinone (4MeQ) can be monitored over time by mass spectrometry (MS). The addition of GSH on 4MeQ follows an apparent first order kinetic which is easy to monitor and fit with simple mathematical model. The best fit with first order kinetic (adjusted R² > 0.98) enables to estimate GSH-half-life which is related to the effective competition of other compounds present in solution. This model firstly applied on model solution with known concentrations in nucleophilic compounds (amino acids, peptpides), was then used to estimate the nucleophilic activity of inactivated yeast’s soluble fractions to classify these enological additives. The GSH-half-life ranged from 4.6 to 69.3 hours depending on the GSH accumulation process initially involved in the yeast enrichment process. Our results clearly show that the process of glutathione accumulation in yeast favors the co-accumulation of additional nucleophilic compounds, with the most interesting consequence that the GSH itself appears to be preserved. This methodology reveals that the kinetics of reference nucleophiles addition to a quinone, can rationalize the non-GSH fraction contribution to the global nucleophilic properties of complex matrices.

DOI:

Publication date: June 14, 2022

Issue: WAC 2022

Type: Article

Authors

Florian BAHUT, Rémy, Romanet, , Nathalie Sieczkowski, Maria Nikolantonaki, Régis D. Gougeon

Presenting author

Florian BAHUT – Univ. Bourgogne Franche-Comté, AgroSup Dijon, PAM UMR A 02.102, Institut Universitaire de la Vigne et du Vin – Jules Guyot, F-21000 Dijon, France; Lallemand SAS, 19 rue des Briquetiers, BP 59, 31 702 Blagnac, France

Univ. Bourgogne Franche-Comté, AgroSup Dijon, PAM UMR A 02.102, Institut Universitaire de la Vigne et du Vin – Jules Guyot, F-21000 Dijon, France | Lallemand SAS, 19 rue des Briquetiers, BP 59, 31 702 Blagnac, France | Univ. Bourgogne Franche-Comté, AgroSup Dijon, PAM UMR A 02.102, Institut Universitaire de la Vigne et du Vin – Jules Guyot, F-21000 Dijon, France | Univ. Bourgogne Franche-Comté, AgroSup Dijon, PAM UMR A 02.102, Institut Universitaire de la Vigne et du Vin – Jules Guyot, F-21000 Dijon, France 

Contact the author

Keywords

Yeast derivatives, Quinone, Nucleophile, Glutathione, Oxidation

Tags

IVES Conference Series | WAC 2022

Citation

Related articles…

Grapevine yield estimation in a context of climate change: the GraY model

Grapevine yield is a key indicator to assess the impacts of climate change and the relevance of adaptation strategies in a vineyard landscape. At this scale, a yield model should use a number of parameters and input data in relation to the information available and be able to reproduce vineyard management decisions (e.g. soil and canopy management, irrigation). In this study, we used data from six experimental sites in Southern France (cv. Syrah) to calibrate a model of grapevine yield limited by water constraint (GraY). Each yield component (bud fertility, number of berries per bunch, berry weight) was calculated as a function of the soil water availability simulated by the WaLIS water balance model at critical phenological phases. The model was then evaluated in 10 grapegrowers’ plots, covering a diversity of biophysical and technical contexts (soil type, canopy size, irrigation, cover crop). We identified three critical periods for yield formation: after flowering on the previous year for the number of bunches and berries, around pre-veraison and post-veraison of the same year for mean berry weight. Yields were simulated with a model efficiency (EF) of 0.62 (NRMSE = 0.28). Bud fertility and number of berries per bunch were more accurately simulated (EF = 0.90 and 0.77, NRMSE = 0.06 and 0.10, respectively) than berry weight (EF = -0.31, NRMSE = 0.17). Model efficiency on the on-farm plots reached 0.71 (NRMSE = 0.37) simulating yields from 1 to 8 kg/plant. The GraY model is an original model estimating grapevine yield evolution on the basis of water availability under future climatic conditions.  It allows to evaluate the effects of various adaptation levers such as planting density, cover crop management, fruit/leaf ratio, shading and irrigation, in various production contexts.

Switch genes as a key to understand the grapevine ripening disorder berry Shrivel?

The ripening of grapevine berries encompasses complex morphological and physiological processes, especially at veraison. Berry shrivel (BS) is a ripening physiological disorder affecting grape berries with visible symptoms appearing short after veraison. The main symptoms of BS are a strong reduction in sugar accumulation, inhibited anthocyanin biosynthesis and high pH values. The most popular red grape cultivar in Austria “Blauer Zweigelt” (Vitis vinifera L.) is specifically prone to develop the BS ripening disorder and up to date a no specific cause or causes could be identified. Recently omics approaches have identified and characterized key processes during grapevine ripening. Among them a small subset of genes, called SWITCH, have been described as markers for the onset of the ripening process in fruits.

Mgaloblishvili Rpv29 and Rpv31 loci reveal new insights on downy mildew resistance sources in Vitis vinifera

Downy mildew, a disease caused by Plasmopara viticola (Berk. et Curt.) Berl. and De Toni, is one of the strongest threats to grapevine (Vitis vinifera L.) production. Recently, sources of resistance to downy mildew were identified among Caucasian germplasm. Among them, the Georgian variety Mgaloblishvili revealed a unique resistance mechanism. A genome wide association study (GWAS) allowed the identification of the genetic bases of Mgaloblishvili resistance, the loci Rpv29, Rpv30 and Rpv31. To dissect the three resistance loci, Mgaloblishvili genome was sequenced using PacBio HiFi reads and assembled.

Nitrogen status of vines influences aged wines aromas. Examples of aged Champagne reserve wines and red Bordeaux wines

The sensory definition of the aging bouquet of red Bordeaux wines has been shown to be structured around seven main aromatic nuances: “undergrowth”, “spicy” “truffle”, “fresh red- and black-berry fruits”, “liquorice”, “mint”, and “toasted” (1). Some of these descriptors are also used to describe the aromatic notes of old Champagnes (2) suggesting common volatile compounds between these two types of wine.

Separation and elucidation of ethylidene-bridged catechin oligomers using preparative-HPLC and NMR

During wine aging, small amounts of oxygen are absorbed and initiate a cascade of oxidation reactions. These aging reactions create many products including ethylidene-bridged oligomers and polymers of endogenous polyphenols, like flavan-3ols.