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dc.contributor.authorTorres-Baix, E.
dc.contributor.authorIllana, A.
dc.contributor.authorGou, P.
dc.contributor.authorOlmos, A.
dc.contributor.authorArnau, J.
dc.contributor.authorFulladosa, E.
dc.contributor.otherIndústries Alimentàriesca
dc.date.accessioned2024-05-24T09:28:11Z
dc.date.issued2024-04-26
dc.identifier.citationTorres-Baix, E., A. Illana, P. Gou, A. Olmos, J. Arnau, and E. Fulladosa. 2024. “Modelling of salt uptake for salt content standardization in dry-cured ham”. Meat Science 214 (109523). doi:10.1016/j.meatsci.2024.109523.ca
dc.identifier.issn0309-1740ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/3004
dc.description.abstractSalt content standardization in dry-cured ham production is complex as there are many factors that influence salt uptake. The aim of this work was to study and model salt uptake as a function of salting time and the characteristics of green ham in two different ham types using a large amount of data obtained from an inline non-invasive characterization technology. The usefulness of these models to standardize the salt content of the industrial production was also evaluated. Magnetic induction technology was used to characterize lean and fatty hams in order to further model the salt uptake using different statistical methods. Salt content increased with the salting time showing an asymptotic behaviour which was lower in fatty hams. The best models were those that considered the salting time, weight, and fat content of hams as model independent variables. These models are helpful for salt content standardization within the industry and can be used to simulate process modifications and avoid the time-consuming and costly trial and error tests.ca
dc.description.sponsorshipEva Torres-Baix is the recipient of a doctoral fellowship awarded by AGAUR (Catalan Government, 2018 DI 007). This work was partially supported by the CDTI Program (Smart Meat System, IDI-201811720/2), the Consolidated Research Group (2021 SGR 00461) and the CERCA Program. The authors are grateful to the companies Monte Nevado Group and Esteban Espuña, S.A. for allowing the use of their facilities and equipment to carry out the present work.ca
dc.format.extent23ca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofMeat Scienceca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleModelling of salt uptake for salt content standardization in dry-cured hamca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/embargoedAccess
dc.date.embargoEnd2025-04-26T02:00:00Z
dc.embargo.terms12 mesosca
dc.relation.projectIDCDTI/ /IDI-201811720/ES/DESARROLLO DE NUEVOS SISTEMAS INTELIGENTES PARA PRODUCTOS CÁRNICOS CURADOS MEDIANTE LA SENSORIZACIÓN INTEGRAL Y LA APLICACIÓN DE TECNOLOGÍAS IOT, MACHINE LEARNING Y BIG DATA (2/3)/Smart Meat Systemsca
dc.subject.udc663/664ca
dc.identifier.doihttps://doi.org/10.1016/j.meatsci.2024.109523ca
dc.contributor.groupQualitat i Tecnologia Alimentàriaca


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