170210 20260422084205.0 doi 10.1021/acs.jafc.6c00101 sideral 148734 ART-2026-148734 eng Sáenz-Navajas, María-Pilar (orcid)0000-0001-7225-2272 From sensometabolomics to rapid analysis and machine learning: a perspective on modeling wine mouthfeel 2026 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/MCINN/PID2024-157905OB-C21 info:eu-repo/grantAgreement/ES/MCINN/PID2024-157905OB-C22 info:eu-repo/semantics/embargoedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Ferreira González, Chelo Universidad de Zaragoza (orcid)0000-0002-3698-6719 Jeffery, David W. 2005 595 Universidad de Zaragoza Dpto. Matemática Aplicada Área Matemática Aplicada 74, 13 (2026), 10737–10745 J. agric. food chem. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 0021-8561 824955 http://zaguan.unizar.es/record/170210/files/texto_completo.pdf Postprint info:eu-repo/date/embargoEnd/2027-03-27 1882190 http://zaguan.unizar.es/record/170210/files/texto_completo.jpg?subformat=icon icon Postprint info:eu-repo/date/embargoEnd/2027-03-27 oai:zaguan.unizar.es:170210 articulos driver 2026-04-22-08:40:12 ARTICLE