From Sensometabolomics to Rapid Analysis and Machine Learning: A Perspective on Modeling Wine Mouthfeel

Wine is an intriguing natural product involving biotransformation of grape constituents and continued chemical evolution during aging. Deep knowledge of the chemistry and sensory properties of wine has been developed, but gaps remain and new challenges emerge. Boundaries continue to be pushed with sensometabolomics used to identify important chemical contributors related to sensory acceptance and product quality. Rapid methods and timely access to results are also paramount for a digitally transformed industry, but masses of data are generated. Machine learning is quickly emerging as a versatile and powerful approach for handling multidimensional data sets and modeling intricate wine phenomena.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2026-03-27
DOI
https://doi.org/10.1021/acs.jafc.6c00101
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
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article

From Sensometabolomics to Rapid Analysis and Machine Learning: A Perspective on Modeling Wine Mouthfeel

David W. Jeffery, Chelo Ferreira, María-Pilar Sáenz-Navajas
Journal of Agricultural and Food Chemistry
Fermentation and Sensory Analysis
article

From Sensometabolomics to Rapid Analysis and Machine Learning: A Perspective on Modeling Wine Mouthfeel

David W. Jeffery, Chelo Ferreira, María-Pilar Sáenz-Navajas
article en

Abstract

Wine is an intriguing natural product involving biotransformation of grape constituents and continued chemical evolution during aging. Deep knowledge of the chemistry and sensory properties of wine has been developed, but gaps remain and new challenges emerge. Boundaries continue to be pushed with sensometabolomics used to identify important chemical contributors related to sensory acceptance and product quality. Rapid methods and timely access to results are also paramount for a digitally transformed industry, but masses of data are generated. Machine learning is quickly emerging as a versatile and powerful approach for handling multidimensional data sets and modeling intricate wine phenomena.

Journal of Agricultural and Food Chemistry
Universidad de Panamá (PA), Universidad de Zaragoza (ES), Agriculture and Food (AU), Gobierno de La Rioja (ES), The University of Adelaide (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Fermentation and Sensory Analysis
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