Macrowine 2021
IVES 9 IVES Conference Series 9 Petrolomics-derived data interpretation to study acetaldehyde-epicatechin condensation reactions

Petrolomics-derived data interpretation to study acetaldehyde-epicatechin condensation reactions

Abstract

During red wine ageing or conservation, color and taste change and astringency tends to reduce. These changes result from reactions of flavan-3-ols and/or anthocyanins among which condensation reactions with acetaldehyde are particularly important. The full characterization of these reactions has not been fully achieved because of difficulties in extracting and separating the newly formed compounds directly from wine. Model solutions mimicking food products constitute a simplified medium for their exploration, allowing the detection of the newly formed compounds, their isolation, and their structure elucidation. In this work, the reactions of (-)-epicatechin in the presence of acetaldehyde were studied in model solution systems at wine pH by UPLC-LTQ-Orbitrap-high resolution mass spectrometry. High resolution mass spectrometry provides exact mass measurements thus leading to elemental composition assignment of molecules which is an essential step for identification of new-formed compounds. By applying petrolomics-derived data interpretation strategies such as the untargeted Van Krevelen diagrams and Kendricks mass defect plots, described earlier in black tea thearubigins (1), more than 40 compounds were found including the homogeneous bridged derivatives and the well-known vinyl and ethanol adducts (2,3). Other compounds from polymer series such as the hexamer and heptamer epicatechin bridged derivatives and several xanthylium salts were identified for the first time. Consequently, in this work, a structural model for acetaldehyde-mediated reaction cascades involving formation of ethanol adducts, vinyl adducts, ethyl brides, loss of water molecules to form xanthylium salts…was developed.

References 1. Kuhnert et al. Arch. Biochem. Biophys., 2010, 501, 37–51 2. Fulcrand et al. J. Chromatogr- A. 1996, 752, 85-91 3. Es Safi et al. J. Agric. Food Chem. 1999, 47, 2088-2095

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Article

Authors

Anna Vallverdu-Queralt*, Emmanuelle Meudec, Nicolas Sommerer, Rosa Maria Lamuela Ravento, Veronique Cheynier

*INRA

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

On the losses of dissolved CO2 during champagne aging

A misconception lingers in the minds of some wine consumers that Champagne wines don’t age. It’s largely a myth, certainly as far as the best cuvees are concerned. Actually, during the so-called autolysis period of time (in the closed bottle, after the “prise de mousse”), complex chemical reactions take place when the wine remains in contact with the dead yeast cells, which progressively bring complex and very much sought-after aromas to champagne. Nevertheless, despite their remarkable impermeability to liquid and air, caps or natural cork stoppers used to cork the bottles are not 100% hermetic with regard to gas transfers. Gas species therefore very slowly diffuse through the cap or cork stopper, along their respective inverse partial pressure. After the “prise de mousse”, because the partial pressure of CO2 in the bottleneck reaches up to 6 bars (at 12 °C), gaseous CO2 progressively diffuse from the bottle to the ambient air
(where the partial pressure of gaseous CO2 is only of order of 0,0004 bar).

Interactions of wine polyphenols with dead or living Saccharomyces cerevisiae Yeast Cells and Cell Walls: polyphenol location by microscopy

Tannin, anthocyanins and their reaction products play a major role in the quality of red wines. They contribute to their sensory characteristics, particularly colour and astringency. Grape tannins and anthocyanins are extracted during red wine fermentation. However, their concentration and composition change over time, due to their strong chemical reactivity1. It is also well known that yeasts influence the wine phenolic content, either through the release of metabolites involved in the formation of derived pigments1, or through polyphenol adsorption2,3.

Accumulation of polyphenols in Barbera and Nebbiolo leaves during the vegetative season

Grapevine berries produce thousands of secondary metabolites of diverse chemical nature that have been largely detailed in the past due to their importance for defining wine quality. The wide Vitis vinifera diversity, resulting in thousands of different varieties well detailed in many studies regarding berries, is still not investigated in vegetative organs, leaves in particular. Deepening knowledge related to this aspect could be of great interest for many reasons (for example the possibility of using leaf extract for pharmaceutical, cosmetic and nutrition purposes) but, above all, for understanding the susceptibility of different grapevine varieties to pathogens.

Use of computational modelling for selecting adsorbents for improved fining of wine

The occurrence of faults and taints in wine, such as those caused by microbial spoilage or various taints, have resulted in significant financial losses to wine producers. The wine industry commits significant financial resources towards fining and taint removal processes each year. Fining involves the addition of one or more adsorptive substrates to juice or wine to bind certain components, thus reducing their concentration [1]. However, these processes are often not selective and can also remove desirable flavour and aroma compounds.

Impact of varying ethanol and carbonation levels on the odor threshold of 1,1,6-trimethyl-1,2-dihydronaphtalene (petrol off-flavor) and role of berry size and Riesling clones

1,1,6-trimethyl-1,2-dihydronaphtelene (TDN) evokes the odor of “petrol” in wine, especially in the variety Riesling. Increasing UV-radiation due to climate change intensifies formation of carotenoids in the berry skins and an increase of TDN-precursors1. Exploring new viticultural and oenological strategies to limit TDN formation in the future requires precise knowledge of TDN thresholds in different matrices. Thresholds reported in the literature vary substantially between 2 µg/L up to 20 µg/L2,3,4 due to the use of different methods. As Riesling grapes are used for very different wine styles such as dry, sweet or sparkling wines, it is essential to study the impact of varying ethanol and carbonation levels.