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FT-ICR-MS reveals the molecular imprints of the brewing process.
Front. Nutr. 10:1243503 (2023)
The study of fermentation and brewing has a long history of pioneering discoveries that continue to influence modern industrial food production. Since then, numerous research endeavors have yielded conventional criteria that guide contemporary brewing practices. However, the intricate open challenges faced today necessitate a more exhaustive understanding of the process at the molecular scale. We have developed an ultra-high-resolution mass spectrometric analysis (FT-ICR-MS) of the brewing process that can rapidly and comprehensively resolve thousands of molecules. This approach allows us to track molecular fluctuation during brewing at the level of chemical compositions. Employing biological triplicates, our investigation of two brewing lines that are otherwise identical except for the malt used revealed over 8,000 molecular descriptors of the brewing process. Metabolite imprints of both the similarities and differences arising from deviating malting temperatures were visualized. Additionally, we translated traditional brewing attributes such as the EBC-value, free amino nitrogen, pH-value, and concentration curves of specific molecules, into highly correlative molecular patterns consisting of hundreds of metabolites. These in-depth molecular imprints provide a better understanding of the molecular circumstances leading to various changes throughout the brewing process. Such chemical maps go beyond the observation of traditional brewing attributes and are of great significance in the investigation strategies of current open challenges in brewing research. The molecular base of knowledge, along with advancements in technological and data integration schemes, can facilitate the efficient monitoring of brewing and other productions processes.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Ft-icr-ms ; Maillard Reaction ; Beer ; Brewing Process ; Metabolomics ; Molecular Profiles ; Multivariate Statistics; Orthogonal Projections
ISSN (print) / ISBN
2296-861X
e-ISSN
2296-861X
Journal
Frontiers in Nutrition
Quellenangaben
Volume: 10,
Article Number: 1243503
Publisher
Frontiers
Publishing Place
Lausanne
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Research Unit Analytical BioGeoChemistry (BGC)