Macrowine 2021
IVES 9 IVES Conference Series 9 Quantification of the production of hydrogen peroxide H2O2 during wine oxidation

Quantification of the production of hydrogen peroxide H2O2 during wine oxidation

Abstract

Chemical studies aiming at assessing how a wine reacts towards oxidation usually focus on the characterization of wine constituents, such as polyphenols, or oxidation products. As an alternative, the key oxidation intermediate hydrogen peroxide H2O2 has never been quantified, although it plays a pivotal role in wine oxidation. H2O2 is obtained from molecular oxygen as the result of a first cascade of oxidation reactions involving metal ions and polyphenols. The produced H2O2 then reacts in a second cascade of oxidation to produce reactive hydroxyl radicals that can attack almost any chemical substrate in wine. Here, we show that based on an assay used in biotechnological analytics, the Amplex Red Assay, a fluorescence method can be developed to quantify H2O2 in wine. The non-fluorescent Amplex Red reagent was catalytically converted into a fluorescent product in presence of H2O2. Wine samples were left to react with oxygen during 30 min before read out. The fluorescence intensity provided quantification of the total integrated production of H2O2 during the measurement period. Within-day as well as between-day variabilities were small (CV < 1%, respectively 1.5%). H2O2 levels were very low in white wines compared to red wines demonstrating the importance of polyphenols. Moreover, H2O2 increased with temperature and the addition of metal ions. By contrast, H2O2 levels did not correlate with the concentration of many common wine constituents such as polyphenols or sulphur dioxide except for polymerized pigments, which played a major role. Furthermore, H2O2 levels were independent of the anti-oxidant properties of the wines. In general, this study demonstrates that the oxidation reactions in wines involve a complex interplay of chemical species that can only be grasped using a holistic approach. We speculate that this novel concept of quantifying the production of intermediates by trapping, using a fluorescent reporter, will open the path to detailed studies aiming at deciphering oxidation mechanisms in wines.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Jean-Manuel Segura*, Benoit Bach, Julien Ducruet, Julien Héritier, Patrik Schönenberger, Vanessa Gaillard

*HES-SO

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Correlations between N,S,O-heterocycle levels and age of Champagne base wines

Champagne regulation allows winegrowers to stock small amounts of still wines in order to compensate vintages’ quality shifts mainly due to climate variations. According to their technical requirements and house style some Champagne producers (commonly named “Champagne houses”) use these stored wines in the blend in order to introduce an element of complexity. These wines possess the particularity of being aged on fine lees in thermo-regulated stainless steel tanks. The Champagne house of Veuve Clicquot Ponsardin has several wines stored this way.

Evaluation of colloidal stability in white and rosé wines investing Dynamic Light Scattering technology

Proteins constitute one of the three main components of grape juice and white wine, phenolic compounds and polysaccharides being the others. A specific group of the total grape-derived proteins resists degradation or adsorption during the winemaking process and remains in finished wine if not removed by the commonplace commercial practice of bentonite fining. While bentonite is effective in removing the problematic proteins, it is claimed to adversely affect the quality of the treated wine under certain conditions, through the removal of colour, flavor and texture compounds. A number of studies have indicated that different protein fractions require distinct bentonite concentrations for protein removal and consequent heat stabilization.

Bentonite fining in cold wines: prediction tests, reduced efficiency and possibilities to avoid additional fining treatments

Bentonite fining is widely used to prevent protein haze in white wines. Most wineries use laboratory-scale fining trials to define the appropriate amount of bentonite to be used in the cellar. Those pre-tests need to mimic as much as possible the industrial scale fining procedure to determine the exact amount of bentonite necessary for protein stability. Nevertheless it is frequent that, after fining with the recommended amount of bentonite, wines appear still unstable and need an additional fining treatment. It remains a major challenge to understand why the same wine, fined with the same dosage of the same bentonite, achieves stability in the lab, but not in the cellar.

A combination of biotechnology tools and coopers elements for an alternative the addition of SO2 at the end of the malolactic fermentation in red wines or at the “mutage” for the “liquoreux” wines

In red wines the post-MLF SO2 addition is an essential event. It is also the case for the “mutage” during the elaboration of the “liquoreux”. At these moments SO2 plays an antimicrobial action and an antioxidant effect. But at current pH of wines, ensuring a powerful molecular SO2 has become very difficult. Recent work on Brettanomyces strains have also shown that some strains are resistant up to 1.2 mg / L of molecular SO2. It’s also the case of the some Saccharomuces or Zygosaccharomyces strains suitable to re-ferment “liquoreux” wines after the “mutage”.

New molecular evidence of wine yeast-bacteria interaction unraveled by untargeted metabolomic profiling

Bacterial malolactic fermentation (MLF) has a considerable impact on wine quality. The yeast strain used for primary fermentation can consistently stimulate (MLF+ phenotype) or inhibit (MLF- phenotype) malolactic bacteria and the MLF process as a function of numerous winemaking practices, but the molecular evidence behind still remains a mystery. In this study, such evidence was elucidated by the direct comparison of extracellular metabolic profiles of MLF+ and MLF- yeast phenotypes. Untargeted metabolomics combining ultrahigh-resolution FT-ICR-MS analysis, powerful machine learning methods and a comprehensive wine metabolite database, discovered around 800 putative biomarkers and 2500 unknown masses involved in phenotypic distinction.