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High-throughput oenomics: shotgun polyphenomics of wines
Adéline Delcambre1, Cédric Saucier
1Enology Laboratory, Department of Chemistry, University of British Columbia , Okanagan Campus, 3333 University Way, Kelowna, British Columbia V1 V 1 V7, Canada.
Analytical Chemistry
|October 1, 2013
Summary
This study introduces a rapid shotgun polyphenomics method for red wine analysis using ultra-high performance liquid chromatography-electrospray ionization-quadrupole-time-of-flight-mass spectrometry (UHPLC-ESI-Q-TOF-MS), identifying 103 compounds in just 2 minutes.
Area of Science:
- Analytical Chemistry
- Food Science
- Metabolomics
Background:
- Red wine composition is complex, containing numerous organic compounds like polyphenols.
- Understanding wine quality and authenticity is crucial for consumers and producers.
- Existing analytical methods for wine polyphenols can be time-consuming.
Purpose of the Study:
- To develop a fast and comprehensive method for red wine polyphenol characterization.
- To establish the first shotgun polyphenomics approach for wine analysis.
- To compare the new method's efficiency against existing techniques.
Main Methods:
- Development of an original, fast shotgun polyphenomics method for red wine.
- Utilized ultra-high performance liquid chromatography-electrospray ionization-quadrupole-time-of-flight-mass spectrometry (UHPLC-ESI-Q-TOF-MS).
- Employed direct injection-electrospray ionization-mass spectrometry (DI-ESI-MS) for comparison.
Main Results:
- The new method identified 103 compounds in a rapid 2-minute analysis.
- Significantly more information was obtained compared to previous fast methods like DI-ESI-MS.
- Preliminary analysis using a selected ion ratio revealed distinct spectral differences among Pinot Noir, Merlot, and Syrah wines.
Conclusions:
- The developed shotgun polyphenomics method offers a highly efficient approach for red wine analysis.
- This technique provides deeper insights into wine quality and authenticity.
- The method shows potential for differentiating wine varietals based on their polyphenol profiles.

