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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 |