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Non-destructive salt content prediction in brined pork meat using ultrasound technology

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Non-destructive salt content prediction in brined pork meat using ultrasound technology

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dc.contributor.author PRADOS PEDRAZA, MARTA DE es_ES
dc.contributor.author García Pérez, José Vicente es_ES
dc.contributor.author Benedito Fort, José Javier es_ES
dc.date.accessioned 2017-05-12T06:42:43Z
dc.date.available 2017-05-12T06:42:43Z
dc.date.issued 2015-06
dc.identifier.issn 0260-8774
dc.identifier.uri http://hdl.handle.net/10251/81019
dc.description.abstract [EN] This works aims to show the feasibility of using low-intensity ultrasound (US) to predict the salt content in brined Biceps femoris (BF) and Longissimus dorsi (LD) pork muscles. For this purpose, meat samples were salted in brine solution (20% w/w at 2 degrees C) for different times (24, 48, 96 and 168 h) and the US velocity measured before and after salting. In addition, model samples with preset water and salt contents were formulated and the US velocity was measured. In the model samples, the salt content (X-S) had a more marked effect on the US velocity (13.0 m/s per Delta X-S = 1% wet basis) than the water content (5.0 m/s per Delta X-w = 1% wet basis). The salt gain and the water loss during brining caused the US velocity to increase (61.5 and 49.3 m/s for 168 h in LD and BF, respectively). Significant linear relationships between the US velocity and both factors (X-S and X-w) were established (R-2 > 0.771). A predictive model of the salt content based on the US velocity was proposed; this was successfully validated (average estimation error 0.48%), which shows the feasibility of using US for industrial quality control purposes. (C) 2015 Elsevier Ltd. All rights reserved. es_ES
dc.description.sponsorship This work was supported by the spanish Ministerio de Economia y Competitividad (MINECO) and Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA) (contracts n. RTA2010-00029-004-01/02; RTA2013-00030-003-02), European Regional Development Fund (ERDF) and by the Universitat Politecnica de Valencia (UPV) through the FPI grant awarded to Marta de Prados.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Food Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Non-destructive technology es_ES
dc.subject Ultrasound es_ES
dc.subject Salt content prediction es_ES
dc.subject Pork meat es_ES
dc.subject.classification TECNOLOGIA DE ALIMENTOS es_ES
dc.title Non-destructive salt content prediction in brined pork meat using ultrasound technology es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jfoodeng.2014.12.024
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2013-00030-C03-02/ES/Caracterización y detección objetiva de defectos de textura en jamón curado mediante tecnologías no destructivas. Desarrollo y evaluación de medidas correctoras/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//RTA2010-00029-C04-01/ES/RTA2010-00029-C04-01/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//RTA2010-00029-C04-02/ES/RTA2010-00029-C04-02/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural es_ES
dc.description.bibliographicCitation Prados Pedraza, MD.; García Pérez, JV.; Benedito Fort, JJ. (2015). Non-destructive salt content prediction in brined pork meat using ultrasound technology. Journal of Food Engineering. 154:39-48. https://doi.org/10.1016/j.jfoodeng.2014.12.024 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.jfoodeng.2014.12.024 es_ES
dc.description.upvformatpinicio 39 es_ES
dc.description.upvformatpfin 48 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 154 es_ES
dc.relation.senia 307338 es_ES
dc.identifier.eissn 1873-5770
dc.contributor.funder Ministerio de Economía y Competitividad


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