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In vino veritas: A metabolomics approach for authenticating Provence Rosé wines

  • 0C2VN, INRAE1260, INSERM1063, Aix-Marseille Université, BIOMET, Marseille, France.
Food Chemistry +

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November 16, 2024

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November 16, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Detecting counterfeit Provence rosé wines is crucial. This study identified three key chemical markers using metabolomics and machine learning, achieving 93.3% accuracy in distinguishing authentic rosé wines.

Area Of Science

  • * Food chemistry and metabolomics
  • * Analytical chemistry
  • * Wine authentication

Background

  • * Provence rosé wines are globally popular and susceptible to wine fraud.
  • * Authentic wine identification is essential for consumer trust and industry integrity.
  • * Existing methods for wine authentication may lack specificity for regional designations.

Purpose Of The Study

  • * To identify specific chemical markers for authenticating Provence rosé wines.
  • * To develop a reliable method for detecting counterfeit Provence rosé.
  • * To differentiate genuine Provence rosé from imitations using chemometrics.

Main Methods

  • * Untargeted liquid chromatography-mass spectrometry (LC-MS) based metabolomics on 30 rosé wines.
  • * Metabolite profiling using the Molnotator workflow to generate 1300 potential metabolites.
  • * Machine learning for chemomarker selection, followed by targeted analysis and bioinformatics for annotation.

Main Results

  • * Three specific chemomarkers (acuminoside, tetrahydroxydimethoxyflavone, 5 -methoxycastavinol) were confidently identified for Provence rosé.
  • * A predictive model (PLS) combining these markers achieved high accuracy in distinguishing authentic wines.
  • * The model demonstrated excellent performance: 83.3% sensitivity, 100% specificity, and 93.3% overall accuracy.

Conclusions

  • * Acuminoside, tetrahydroxydimethoxyflavone, and 5 -methoxycastavinol are reliable chemical markers for Provence rosé.
  • * The developed chemometric approach effectively detects counterfeit Provence rosé wines.
  • * This study provides a robust analytical framework for ensuring the authenticity of high-value rosé wines.

Keywords: