Weiss or Wit: Chemical Profiling of Wheat Beers via NMR-Based Metabolomics
- PMID: 40361703
- PMCID: PMC12072173
- DOI: 10.3390/foods14091621
Weiss or Wit: Chemical Profiling of Wheat Beers via NMR-Based Metabolomics
Abstract
Wheat beers, including Witbier, Hefeweizen, and Weizenbock, are known for their unique sensory profiles, which are shaped by the combination of ingredients, fermentation conditions, and brewing methods. In this study, we used nuclear magnetic resonance (NMR) spectroscopy to explore the metabolomic signatures of various wheat beer styles and substyles. By analyzing 39 beer samples from 17 countries, we identified and quantified 50 metabolites, ranging from alcohols and saccharides to amino acids and organic acids. Ethanol and maltodextrin were the most abundant compounds, while higher contents of alcohols and organic acids played a key role in flavor variation. Through orthogonal partial least squares discriminant analysis (OPLS-DA), we achieved an impressive 97.44% accuracy in distinguishing between Witbier, Hefeweizen, and Weizenbock based on their metabolic profiles. The analysis also revealed notable compositional differences between craft and commercial beers, with craft beers showing higher concentrations of alcohols and amino acids. These results underscore the significant impact of raw materials, fermentation parameters, and brewing techniques on the chemistry of wheat beer. Furthermore, this study highlights the potential of NMR spectroscopy as a powerful tool for beer authentication and quality control.
Keywords: NMR metabolomics; chemometrics; craft and commercial beer; wheat beer.
Conflict of interest statement
The authors declare no conflicts of interest.
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References
-
- Statista, Global Beer Production 1998–2023. Benchmark International; Tampa, FL, USA: 2024.
-
- Dineley M. Barley, Malt And Ale in the Neolithic. Oxbow Books; Oxford, UK: 2004.
-
- Verberg S. The Rise and Fall of Gruit. Brew. Hist. 2018;174:46–78.
-
- Anderson H.E., Liden T., Berger B.K., Zanella D., Ho Manh L., Wang S., Schug K.A. Profiling of Contemporary Beer Styles Using Liquid Chromatography Quadrupole Time-of-Flight Mass Spectrometry, Multivariate Analysis, and Machine Learning Techniques. Anal. Chim. Acta. 2021;1172:338668. doi: 10.1016/j.aca.2021.338668. - DOI - PubMed
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