Macrowine 2021
IVES 9 IVES Conference Series 9 Fingerprinting the origin of rosé wines with a new high throughput polyphenomics method

Fingerprinting the origin of rosé wines with a new high throughput polyphenomics method

Abstract

Wine is a widely consumed alcoholic beverage with a high commercial value. More specifically, the worldwide consumption of rosé wine has increased by 20% since 2002[1]. But because of its high commercial value, it can become a subject of fraud, and authenticity control is necessarily required. More than one hundred polyphenols have been recently quantified in various rosé wines [2]. They are key components defining color, taste and quality of wines. Their amount and composition depend on many different factors such as grape variety, winemaking and age of the wine. In this study, the influence of geographic origin of some rosé French wines was investigated. An original and very fast UPLC-QTOF-MS method was developed and used to predict the geographic origin authenticity of rosé wines. 30 commercial rosés wines from three different regions of France (Bordeaux, Languedoc and Provence, 10 of each) were analyzed by classical chemical analysis (pH, IPT, SO2…), color measurement, and UPLC-high resolution MS analysis using an adapted fast method [3]. The goal of this six min shotgun analytical method was to give a rapid mass spectrometry fingerprint of these wines and be able to identify specific ions. Statistical analyses were performed after 1) peak extraction in each spectrum, 2) peak alignment between all the 30 rosés wines and 3) specific peaks selection by genetic algorithm. The discrimination between the three regions was applied onto the described dataset and produces good classification results.

[1] OIV Focus 2015, Le marché des vins rosés [2] LAMBERT M, MEUDEC E, VERBAERE A. A high-throughput UHPLC-QqQ-MS method for polyphenol profiling in rosé wines. Molecules. 2015, 20, 7890-7914. [3] DELCAMBRE A, SAUCIER C. High-Throughput oenomics: shotgun polyphenomics of wines. Analytical chemistry, 2013, 85, 9736-9741.

Publication date: May 17, 2024

Issue: Macrowine 2016

Type: Poster

Authors

Cédric Saucier*, Christelle Reynes, Christine Enjalbal, Guillaume Cazals, Melodie Gil, Robert Sabatier

*Université de Montpellier

Contact the author

Tags

IVES Conference Series | Macrowine | Macrowine 2016

Citation

Related articles…

Spontaneous fermentation dynamics of indigenous yeast populations and their effect on the sensory properties of Riesling

Varietal Riesling aroma relies strongly on the formation and liberation of bound aroma compounds. Floral monoterpenes, green C6-alcohols, fruity C13-norisoprenoids and spicy volatile phenols are predominantly bound to disaccharides, which are produced and stored in the grape berry during berry maturation. Grape processing aims to extract maximum amount of the precursors from the berry skin to increase the potential for a strong varietal aroma in the wine. Subsequent yeast selection plays an important part in this process.

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.

Oak wood seasoning: impact on oak wood chemical composition and sensory quality of wine

Oak wood selection and maturation are essential steps in the course of barrel fabrication. Given the existence of many factors involved in the choice of raw material and in natural seasoning of oak wood, it is very difficult to determine the real impact of seasoning and selection factors on oak wood composition. A sampling was done to study the evolution of oak wood chemical composition during four seasoning steps: non matured, 12 months, 18 months and 24 months. For this sampling, three selection factors were taken into account: age, grain type and the Polyphenolic Index measured by Oakscan®. Besides extractables
(~10%), three polymers constitute the main part of oak wood: cellulose, hemicelluloses and lignins.

Influence of SO2 and Zinc on the formation of volatile aldehydes during alcoholic fermentation

Laboratório de Análisis del Aroma y Enologia (LAAE). Department of Analytical Chemistry, Faculty of Sciences, Universidad de Zaragoza, 50009, Zaragoza, Spain, During alcoholic fermentation, fusel (or Strecker) aldehydes are intermediates in the amino acid catabolism to form fusel alcohols following the Ehrlich Pathway (1). One of the main enzymes involved in this pathway is Alcohol Dehydrogenase (ADH), whose activity is highly strain dependent and determines the rate of conversion of aldehydes into fusel alcohols (2). This enzyme has a Zn2+ catalytic binding site, which suggests that the must Zn2+ levels will most likely influence the rate of reduction of aldehydes into alcohols. On the other hand, SO2 is commonly used in winemaking for its antiseptic and antioxidant properties.

Maturation of Agiorgitiko (Vitis vinifera) red wine on its wine lees: Impact on its phenolic composition

Maturation of wine on lees (often referred as sur lie) is a common practice applied by many winemakers around the world. In the past this method was applied mainly on white and/or sparkling wine production but recently also to red wine production. In our experiment, we matured red wine on wine lees of two origins: a) Light wine lees, collected after the completion of the alcoholic fermentation, b) Heavy lees, collected after the completion of the malolactic fermentation. The lees were free of off-odors and were added in the red wine in percentage 3% and 8%, simulating common winemaking addition. The maturation lasted in total six months and samples were collected for analysis after one, three and six months. During storage the lees were stirred.