Machine Learning Aided Molecular Modelling of Taste to Identify Food Fingerprints

Machine Learning Aided Molecular Modelling of Taste to Identify Food Fingerprints

Nature has developed fascinating mechanisms for selecting and monitoring nutrients through refined systems for food intake and uptake. One of the most important is the sense of taste. Taste is an emergent property involving a complex network of multilevel biological interactions beginning with the a...

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Bibliographic Details
Main Authors:	Lorenzo Pallante, Marco Cannariato, Fosca Vezzulli, Marta Malavolta, Milena Lambri, Marco A. Deriu
Format:	Article
Language:	English
Published:	AIDIC Servizi S.r.l. 2023-09-01
Series:	Chemical Engineering Transactions
Online Access:	https://www.cetjournal.it/index.php/cet/article/view/13538

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