In vino veritas: A metabolomics approach for authenticating Provence Rosé wines
2025
Mekbel, Katia | Garayev, Elnur | Pouzalgues, Nathalie | Chevallier, Aurélie | Masson, Gilles | Bun-Llopet, Sok-Siya | Baghdikian, Béatrice | Culioli, Gérald | Martin, Jean-Charles | Centre recherche en CardioVasculaire et Nutrition = Center for CardioVascular and Nutrition research (C2VN) ; Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE) ; Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS) | Aix-Marseille Université - Faculté de pharmacie (AMU PHARM) ; Aix Marseille Université (AMU)
International audience
اظهر المزيد [+] اقل [-]إنجليزي. Provence rosé wines have gained global popularity, making them vulnerable to fraud. This study aimed to identify specific chemical markers to detect counterfeit Provence rosé wines. An untargeted LC-MS-based metabolomics analysis was performed on a set of 30 wines classified as “Provence,” “Non-Provence,” and “Provence imitations.” Using the Molnotator workflow, 1300 potential metabolites were generated, and five key chemomarkers were selected through a machine learning pipeline. Further targeted analysis and bioinformatics using in silico MS/MS fragmentation systems confidently annotated three specific chemomarkers for “Provence” rosé: acuminoside, tetrahydroxydimethoxyflavone, and 5′-methoxycastavinol. A composite score using a PLS model combining the 3 chemomarkers effectively distinguished authentic wines, with high accuracy (sensitivity 83.3 %, specificity 100 %, accuracy 93.3 %).
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Institut national de la recherche agronomique