terclim by ICS banner
IVES 9 IVES Conference Series 9 MODELLING THE AGEING POTENTIAL OF SYRAH RED WINES BY ACCELERATED AGEING TESTS: INFLUENCE OF ANTIOXIDANT ASSAYS AND PHENOLIC COMPOSITION

MODELLING THE AGEING POTENTIAL OF SYRAH RED WINES BY ACCELERATED AGEING TESTS: INFLUENCE OF ANTIOXIDANT ASSAYS AND PHENOLIC COMPOSITION

Abstract

Red wine ageing is an important step in the red wine evolution and impacts its chemical and sensory characteristics through many chemicals and physico-chemical reactions. The kinetics of these evolutions depend on the wine studied and influence the wine ageing potential. Generally, high quality red wines require a longer period of bottle ageing before consumption¹. The ageing potential is an important parameter for wine quality and is related to the capacity of a wine to undergo oxidation over time². Phenolic compounds which are ones of the main substrates for oxidation can then potentially modulate ageing potential³.

The aim of this study was to assess the influence of phenolic composition and antioxidant properties on the ageing capacity of 14 Syrah red wines. This ageing capacity was measured by accelerated ageing tests (AATs) recently developed in our laboratory (thermal test at 60°C, enzymatic test with laccase and chemical test with H₂O₂)4. Different parameters were measured such as anthocyanin and flavanol contents, spectrophotometric antioxidant assays, voltammetric behaviour, colour parameters and free SO₂ levels. Statistical analyses were performed to model the results of the ATTs from the initial phenolic composition and antioxidant properties of Syrah red wines.

High correlations were obtained between the initial phenolic composition and the antioxidant properties of red wines. The results showed significant differences between the three studied ATTs, revealing specific mechanisms for each accelerated ageing condition. The Partial least squares (PLS) regression models results, based on measured parameters, had overall very good accuracy and involved different explaining variables for each test. The models have excellent predictive capacities with correlation coefficients (r²) between 0.89 et 0.98.

 

1. Gambuti, A., Rinaldi, A., Ugliano, M., & Moio, L. (2013). Evolution of Phenolic Compounds and Astringency during Aging of Red Wine : Effect of Oxygen Exposure before and after Bottling. Journal of Agricultural and Food Chemistry, 61(8), 1618-1627. https://doi.org/10.1021/jf302822b 
2. Waterhouse, A. L., & Miao, Y. (2021). Can Chemical Analysis Predict Wine Aging Capacity? Foods, 10(3), 654. https://doi. org/10.3390/foods10030654
3. Oliveira, C. M., Ferreira, A. C. S., De Freitas, V., & Silva, A. M. S. (2011). Oxidation mechanisms occurring in wines. Food Research International, 44(5), 1115-1126. https://doi.org/10.1016/j.foodres.2011.03.050
4. Deshaies, S., Cazals, G., Enjalbal, C., Constantin, T., Garcia, F., Mouls, L., & Saucier, C. (2020). Red Wine Oxidation : Accelerated Ageing Tests, Possible Reaction Mechanisms and Application to Syrah Red Wines. Antioxidants, 9, 663. https://doi. org/10.3390/antiox9080663

DOI:

Publication date: February 9, 2024

Issue: OENO Macrowine 2023

Type: Poster

Authors

Luca Garcia¹, Stacy Deshaies¹, Thibaut Constantin¹, François Garcia¹ and Cédric Saucier¹

1. SPO, Univ Montpellier, INRAE, Institut Agro, Montpellier, France

Contact the author*

Keywords

Red wine, Ageing capacity, Oxygen, Polyphenols

Tags

IVES Conference Series | oeno macrowine 2023 | oeno-macrowine

Citation

Related articles…

SENSORY PROPERTIES IMPORTANT TO AUSTRALIAN FINE WINE CONSUMER SEGMENT PERCEPTION OF CHARDONNAY WINE COMPLEXITY AND PREFERENCE

Wine complexity is considered a multidimensional yet equivocal sensory percept. This project uncovered sensory attributes Australian Chardonnay wine consumers associate with Chardonnay wine complexity
and correlations between expert and consumer perceived wine complexity and preference. A
wine consumer test examined 6 Australian Chardonnay wines of three complexity levels designated low (LC1&2), medium (MC1&2), and high (HC1&2) by an expert panel (n = 8) using a benchtop sensory task. Consumers (n = 81) rated their perceived liking using a 9-point hedonic scale; wine complexity with a 5-point scale anchored “low”, “low-medium”, “medium”, “medium-high”, and “high” and lastly, profiled the wines using Rate-All-That-Apply (RATA). Psychographic segmentation with the Fine Wine Instrument
(FWI) generated three segments; Wine Enthusiasts (WE n=29), Aspirants (ASP n=40) and No- Frills (NF n=12).

EXPLORING THE ROLE OF TRANSITION METAL IONS IN THE EVOLUTION OF ESTERS COMPOSITION OF YOUNG WHITE WINE DURING AGEING

Young white wines are typically released to the market a few months after harvest, to be consumed within a year, when their fresh fruity aromas are still dominant and appealing to modern consumers. Esters, particularly higher alcohol acetates (HAAs) and ethyl esters of fatty acids (EEFAs), play a central role in the fruity expression of young white wines [1]. However, these esters are known to undergo significant hydrolysis during the first months of aging [1, 2].

MONITOR SOME KEY PARAMETERS THROUGH THE IMPLEMENTATION OFCONTINUOUS CONTROL SYSTEMS OF THE MUST-WINE DURING MACERATION-FERMENTATION IN RED WINEMAKING TO MANAGE OPERATIONS IN “AUTOMATION”

This study is aimed to develop a complete tool for the winemaker with, complete and targeted “winemaking recipes” that can be adapted to criteria set by the winemaker, such as: grape variety, grape health status, degree of ripening, desired wine, redox status throughout the alcoholic fermentation.
To get such aim, specific sets of experiments using red grape juices from different varieties (Nebbiolo, Barbera, Pinot noir, etc.) collected at different technological and phenolic maturity points, will be held with “automatized 4.0 tanks” equipped with sensors for measuring: redox potential, dissolved oxygen, relative density, temperature, and color in order to collect a sufficient amount of data preparatory to the creation of operating models in the most widely winemaking situations in which the automatized 4.0 tanks “will be able to independently respond” with the right corrective actions (opening/closing aeration valve, execution/block pumping overs , etc.) if the key parameters exceed the limits of the recommended ranges set in the selected recipe.

ALCOHOLIC FERMENTATION DRIVES THE SELECTION OF OENOCOCCUS OENI STRAINS IN WINE

Oenococcus oeni is the predominant lactic acid bacteria species in wine and cider, where it performs the malolactic fermentation (MLF) (Lonvaud-Funel, 1999). The O. oeni strains analyzed to date form four major genetic lineages named phylogroups A, B, C and D (Lorentzen et al., 2019). Most of the strains isolated from wine, cider, or kombucha belong to phylogroups A, B+C, and D, respectively, although B and C strains were also detected in wine (Campbell-Sills et al., 2015; Coton et al., 2017; Lorentzen et al., 2019;

EFFECTS OF BIODYNAMIC VINEYARD MANAGEMENT ON GRAPE RIPENING MECHANISMS

Biodynamic agriculture, founded in 1924 by Rudolph Steiner, is a form of organic agriculture. Through a holistic approach, biodynamic agriculture seeks to preserve the diversity of agriculture and the existing interactions between the mineral world and the different components of the organic world. Biodynamic grape production involves the use of composts, herbal teas and mineral preparations such as 500, 501 and CBMT.
Several scientific studies have provided evidence on the effects of biodynamic farming on the soil, the plant and the wine. Numerous empirical opinions of wine growers support the existence of differences brought by such a management.