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.
Issue: Macrowine 2016
Type: Poster
Authors
*Université de Montpellier