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Predicting and improving complex beer flavor through machine learning

Abstract The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models th...

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Principais autores: Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Lloyd Cool, Beatriz Herrera-Malaver, Christophe Vanderaa, Florian A. Theßeling, Łukasz Kreft, Alexander Botzki, Philippe Malcorps, Luk Daenen, Tom Wenseleers, Kevin J. Verstrepen
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2024-03-01
Colecção:Nature Communications
Acesso em linha:https://doi.org/10.1038/s41467-024-46346-0
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