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…

Characterizing the effects of nitrogen on grapevines with different scion/rootstock combinations: agronomic, metabolomic and transcriptomic approaches

Most vineyards are grafted and include a variety (Vitis vinifera) grafted over a wild Vitis rootstock (hybrids of V. berlandieri, riparia and rupestris). Grape berry quality at harvest depends on a subtle balance between acidity and the concentrations of sugars, polyphenols and precursors of aroma compounds. The mechanisms controlling the balance of sugars/acids/polyphenols are influenced by the abiotic environment, in particular nitrogen supply, and interact with the genotypes of both the scion variety and the rootstock. Previous work suggests that some of the effects of water stress are in fact linked to a nitrogen deficiency driven indirectly by the reduction of water absorption.

Analysis of peptide fraction from white wines

Among nitrogen compounds included in white wines, the peptide fraction is certainly the least studied, however this fraction is quantitatively the most important (Feuillat, 1974). Existing studies concern the fraction below 1 kDa and only for white and sparkling wines (Bartolomé et al, 1997, Desportes et al 2000). In this report, we have developed methods to isolate peptides from reference white wines. Then, we have applied this methodology with bitter wine to answer a research question: is there a relation between peptides and the bitterness of white wine as for some cheese for example (Furtado, 1984)?

Screening sensory-directed methodology for the selection of non-saccharomyces wine yeasts based on perceived aroma quality

The present work contributes by developing a rapid sensory-directed methodology for the screening and selection of high quality wines with different sensory profiles Therefore, Verdejo and Tempranillo musts were fermented with 50 different yeasts each under controlled laboratory conditions. Resulting samples were firstly categorized according to five levels of quality by a panel of wine professionals (Sáenz-Navajas, Ballester et al. 2013). Higher quality samples were described by flash profiling by a semi-trained panel
(Valentin, Chollet et al. 2012) and most distinctive samples were screened by gas chromatography-olfactometry (GC-O) (López, Aznar et al. 2002).

The moment of preharvest elicitor application influence its final effect on winegrapes quality

Phenolic compounds are secondary metabolites of grapes. Plants produce a wide variety of this type of metabolites through diverse biosynthesis pathways and their production is sometimes a response to external stimuli, either environmental or biotic stresses. Some of them may act as chemical defenses against pathogens or herbivores and their synthesis is increased when the attack exists. However, it is remarkable that the synthesis of these interesting compounds can be activated even when the stimulus is not present, with the use of elicitors. These are substances that when applied exogenously trigger the biosynthetic pathways conducting to the synthesis of these defense compounds.

IBMP-Polypenol interactions: Impact on volatility and sensory perception in model wine solution

3-Isobutyl-2-methoxypyrazine (IBMP) is one of the key molecules in wine aroma with a bell pepper aroma and a very low threshold in wine, 1-6 ng/L for white wine and 10-16 ng/L in red wine1. The differences in these thresholds are likely due to IBMP-non volatile matrix interactions. It has indeed been shown that polyphenols may influence the volatility of flavor compounds2. In the present study, we focus on IBMP-polyphenols interactions in relation to volatility and sensory perception in model wine solution. Methods: 1. GC-MS Static Headspace Analysis: Samples were analyzed by Static headspace analysis with an Agilent 7890A gas chromatograph coupled to HP 5975C mass spectrometry detector (Agilent Technologies, Santa Clara, CA, USA).