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Updated: Apr 20, 2026

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
Published on: October 5, 2016
High precision mass measurements for wine metabolomics
Chloé Roullier-Gall1, Michael Witting2, Régis D Gougeon3
1UMR PAM Université de Bourgogne/AgroSup Dijon, Institut Universitaire de la Vigne et du Vin Jules Guyot, Dijon, France ; Research Unit Analytical BioGeoChemistry, Department of Environmental Sciences, Helmholtz Zentrum München Neuherberg, Germany.
This study outlines critical steps for analyzing wine chemistry using Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-ToF-MS). The method enhances understanding of wine
Area of Science:
- Analytical Chemistry
- Food Chemistry
- Metabolomics
Background:
- Wine chemistry analysis is complex and requires advanced techniques.
- Non-targeted metabolomics provides a comprehensive view of chemical profiles.
- Understanding wine's chemical complexity is crucial for quality assessment and origin determination.
Purpose of the Study:
- To provide a comprehensive overview of critical steps for non-targeted UPLC-Q-ToF-MS analysis of wine chemistry.
- To detail data preprocessing, statistical analysis, and marker identification strategies.
- To demonstrate the application of the analytical process in characterizing red and white wines from Burgundy.
Main Methods:
- Utilized Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-ToF-MS) for non-targeted analysis.
- Enhanced data by aligning exact mass data from Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FTICR-MS).
- Identified marker peaks using UPLC-Q-ToF-MS(2) and annotated them with metabolite databases.
Main Results:
- Developed a robust analytical workflow for detailed wine chemical profiling.
- Successfully described the chemical complexity of Pinot noir and Chardonnay wines.
- Differentiated wines based on geographic origins using the established analytical process.
Conclusions:
- The integrated UPLC-Q-ToF-MS approach, combined with FTICR-MS data and multivariate statistics, offers a powerful tool for wine metabolomics.
- This methodology provides a fine description of wine's chemical complexity, aiding in quality and origin studies.
- The study successfully exemplified the analytical process for diverse wine types and origins.
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