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Metabolic profiling as a tool for revealing Saccharomyces interactions during wine fermentation
Kate S Howell1, Daniel Cozzolino, Eveline J Bartowsky
1Food Science and Technology, School of Chemical Engineering and Industrial Chemistry, University of New South Wales, Sydney, NSW, Australia.
Wine yeast interactions significantly alter aroma compounds, creating unique flavor profiles not predictable by blending. This metabolic footprinting method reveals complex yeast dynamics during fermentation.
Area of Science:
- Oenology and Viticulture
- Microbiology
- Analytical Chemistry
Background:
- Wine fermentation involves multiple yeast strains, primarily Saccharomyces species.
- The impact of co-fermentation by different Saccharomyces strains on wine flavor remains largely uncharacterized.
Purpose of the Study:
- To investigate how multiple Saccharomyces strains interacting during fermentation influence the profile of aroma compounds in wine.
- To determine if observed differences in mixed-culture fermentations can be replicated by blending wines from monocultures.
Main Methods:
- Metabolic footprinting using gas chromatography-mass spectrometry (GC-MS) to analyze volatile compounds.
- Principal Component Analysis (PCA) to compare metabolic profiles of yeasts in monoculture, mixed culture, and blended wine scenarios.
Main Results:
- Mixed-culture fermentations produced distinct volatile compound profiles compared to monocultures.
- These distinct profiles could not be replicated by simply blending wines from individual yeast monocultures.
- Yeast metabolic interactions, not just the presence of strains, were responsible for the observed differences.
Conclusions:
- Co-fermentation by multiple Saccharomyces strains significantly impacts wine aroma complexity through metabolic interactions.
- Metabolic footprinting offers a novel approach to assess yeast population dynamics and interactions during wine fermentation.
- The contribution of individual yeast strains to volatile production in mixed fermentations is not predictable from monoculture data.
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