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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Bibliographic Details
Published in:Nature Communications
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Online Access:https://doi.org/10.1038/s41467-024-46346-0

Internet

https://doi.org/10.1038/s41467-024-46346-0

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