Macrowine 2021
IVES 9 IVES Conference Series 9 Macrowine 9 Macrowine 2021 9 Chemical diversity of 'special' wine styles: fortified wines, passito style, botrytized and ice wines, orange wines, sparkling wines 9 Polyphenol targeted and untargeted metabolomics on rosé wines : impact of protein fining on polyphenolic composition and color

Polyphenol targeted and untargeted metabolomics on rosé wines : impact of protein fining on polyphenolic composition and color

Abstract

Color is one of the key elements in the marketing of rosé wines[1]. Their broad range of color is due to the presence of red pigments (i.e. anthocyanins and their derivatives) and yellow pigments, likely including polyphenol oxidation products. Clarifying agents are widely used in the winemaking industry to enhance wine stability and to modulate wine color by binding and precipitating polyphenols[2]. During this study, the impact of four different fining agents (i.e. two vegetal proteins, potatoe and pea proteins, an animal protein, casein, and a synthetic polymer, polyvinylpolypyrrolidone, PVPP) on Syrah Rose wine color and phenolic composition (especially pigments) was investigated. Color was characterized by spectrophotometry analysis using the CIELab system in addition to absorbance data. Fining using PVPP had the highest impact on redness (a*) and lightness (L*) parameters, whereas patatin strongly reduced the yellow component (b*) of the wine color. In parallel, the concentration of 125 phenolic compounds including 85 anthocyanins and derived pigments was determined by Ultra High Performance Liquid Chromatography coupled to elestrospray ionisaion triple-quadrupole Mass Spectrometry (UHPLC-QqQ-ESI-MS) in the Multiple Reaction Monitoring mode[3] . Results confirmed the affinity of PVPP towards flavan-3-ols and anthocyanins, especially coumaroylated anthocyanins demonstrated earlier[4]. Chemometrics analysis of the color and composition data revealed a link between redness (a*) and lightness (L*) related to native anthocyanin and flavan-3-ol concentrations. However, no specific marker was associated to patatin fining, suggesting the involvement of other pigments in the yellow component (b*). Additional data was acquired on the same set of samples by untargeted metabolomics using Ultra High Performance Liquid Chromatography coupled to an High Resolution Mass Spectrometer (UHPLC-HR-MS). Our results corroborate those of targeted analysis, demonstrating particular affinity of PVPP for native anthocyanins and flavan-3-ol but also flavonols and stilbenes. Markers of each fining treatment were also identified. PVPP fining treatment revealed a sharp decrease in the rose wine color, especially on the redness (a*) component linked to losses of phenolic compounds such as native anthocyanin. Further investigations aiming at revealing markers of the yellow component (b*) from untargeted analysis data are under way.

DOI:

Publication date: September 16, 2021

Issue: Macrowine 2021

Type: Article

Authors

Cécile Leborgne

SPO, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier  Institut Français de la Vigne et du Vin, Centre du Rosé, Vidauban,Ashley Carty, SPO, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier  Aurélie Chevalier, Institut Français de la Vigne et du Vin, Centre du Rosé, Vidauban  Arnaud Verbaere, SPO, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier  Matthias Bougreau, Institut Français de la Vigne et du Vin, Centre du Rosé, Vidauban  Jean-Claude Boulet, SPO, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier  Nicolas Sommerer, SPO, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier   Gilles Masson, Institut Français de la Vigne et du Vin, Centre du Rosé, Vidauban  Jean-Roch Mouret, SPO, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier  Véronique Cheynier, SPO, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier

Contact the author

Keywords

rosé wine – color – polyphenols – metabolomics – targeted & untargeted analysis

Citation

Related articles…

Riqualificazione dell’antica “Terra di Lavoro” attraverso il rilancio della cultivar Abbuoto

L’agricoltura dei territori costituenti l’antica “Terra di Lavoro”, territorio che oggi è compreso nella provincia di Caserta ed in parte di quelle di Frosinone e Latina, ha subito a partire dal 1970

Arinto clones tolerant to climate change: in depth transcriptomic study of tolerant and sensitive genotypes

Drought and heat waves deriving from climate change have been affecting grapevine plants and altering wine characteristics in the past years, and effects are expected to get worst. Innovative approaches to address this problem have been undertaken in several varieties, that consist in exploring intravarietal variability to identify genotypes that are tolerant to abiotic stress. Such is the case of the variety Arinto, where an experimental population of 165 clones installed according to a resolvable row-column design with 6 replicates, was scanned for several parameters, including surface leaf temperature (SLT). Linear mixed models were fitted to the data of the traits evaluated, and the empirical best linear unbiased predictors (EBLUPs) of genotypic effects for each trait were obtained as well as the coefficient of genotypic variation (CVG) and broad sense heritability.

Illuminating vineyard management: Elevating operational efficiency through advanced sensing and data analytics

In this video recording of the IVES science meeting 2024, Luca Brillante (California State University, Fresno, USA) speaks about vineyard management, advanced sensing and data analytics. This presentation is based on an original article accessible for free on OENO One.

Olfactometry approach to assess odorant compounds of grape spirits used for Port wine production-first results

The production of Port Wine requires the addition of grape spirit to stop the fermentation, ensuring the desired sweetness

A new AI-based system for early and accurate vineyard yield forecasting

Vineyard yield forecasting is a key issue for vintage scheduling and optimization of winemaking operations. High errors in yield forecasting can be found in the wine industry, mainly due to the high spatial variability in vineyards, strong dependency on historical yield data, insufficient use of agroclimatic data and inadequate sampling methods