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Optimization of Enzymes Inactivation in High Pressure Processes

dc.book.titleProceedings of the XIII Global Optimization Worshop GOW'16: 4-8 September 2016
dc.contributor.authorFernández, Miriam R.
dc.contributor.authorRedondo, Juana L.
dc.contributor.authorIvorra, Benjamín Pierre Paul
dc.contributor.authorRamos Del Olmo, Ángel Manuel
dc.contributor.editorRocha, Ana Maria A.C.
dc.contributor.editorCosta, M. Fernanda P.
dc.contributor.editorFernandes, Edite M.P.G.
dc.date.accessioned2023-06-18T07:15:36Z
dc.date.available2023-06-18T07:15:36Z
dc.date.issued2016
dc.descriptionXIII Global Optimization Workshop GOW'16, 4-8 September 2106, Braga, Portugal
dc.description.abstractThe demand of highest quality foods in terms of taste and their properties preservation without the use of additives is constantly increasing. Consequently, new approaches to food processing have been developed, as for example high-pressure technology which has proven to be very valuable because it allows to maintain good properties of food like some vitamins and, at the same time, to reduce some undesirable bacteria. This technology avoids the use of high temperatures during the process (not like Pasteurization), which may have adverse effect on some nutritional properties of the food, its flavour, etc. The models for some enzymatic inactivations, which depend on the pressure and temperature profiles are presented. This work deals with the optimization of the inactivation of certain enzymes when high pressure treatment on food processing is applied. The optimization algorithms will minimize the inactivation not only of a certain isolated enzyme but also to several enzymes that can be involved simultaneously in the high-pressure process.
dc.description.departmentDepto. de Análisis Matemático y Matemática Aplicada
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.sponsorshipJunta de Andalucía
dc.description.sponsorshipEuropean Regional Development Fund
dc.description.sponsorshipBanco de Santander
dc.description.sponsorshipUniversidad Complutense
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/39598
dc.identifier.isbn978-989-20-6764-3
dc.identifier.officialurlhttp://apolo.dps.uminho.pt/gow16/Proceedings_GOW16.pdf#page=80
dc.identifier.urihttps://hdl.handle.net/20.500.14352/24894
dc.language.isoeng
dc.page.final72
dc.page.initial69
dc.page.total201
dc.publication.placeBraga
dc.publisherUniversity of Minho
dc.relation.projectIDTIN2015-66680-C2-1-R
dc.relation.projectIDMTM2011-22658
dc.relation.projectIDMTM2015-64865)
dc.relation.projectIDP11-TIC7176
dc.relation.projectIDP12-TIC301
dc.relation.projectIDMOMAT (910480)
dc.rights.accessRightsrestricted access
dc.subject.keywordHigh Pressure Processing
dc.subject.keywordGlobal Optimization
dc.subject.keywordMetaheuristic algorithms
dc.subject.keywordFood Technology
dc.subject.ucmInvestigación operativa (Matemáticas)
dc.subject.unesco1207 Investigación Operativa
dc.titleOptimization of Enzymes Inactivation in High Pressure Processes
dc.typebook part
dcterms.references[1] Siegfried Denys, Linda R Ludikhuyze, Ann M Van Loey, and Marc E Hendrickx. Modeling conductive heat transfer and process uniformity during batch high-pressure processing of foods. Biotechnology Progress, 16(1):92–101, 2000. [2] Siegfried Denys, Ann M Van Loey, and Marc E Hendrickx. A modeling approach for evaluating process uniformity during batch high hydrostatic pressure processing: combination of a numerical heat transfer model and enzyme inactivation kinetics. Innovative Food Science & Emerging Technologies, 1(1):5–19, 2000. [3] Christoph Hartmann and Antonio Delgado. Numerical simulation of thermal and fluiddynamical transport effects on a high pressure induced inactivation. Simulation Modelling Practice and Theory, 13(2):109–118, 2005. [4] Rikimaru Hayashi, Yukio Kawamura, Teruko Nakasa, and Osamu Okinaka. Application of high pressure to food processing: pressurization of egg white and yolk, and properties of gels formed. Agricultural and Biological Chemistry, 53(11):2935–2939, 1989. [5] Eligius MT Hendrix, Pilar M Ortigosa, and Inmaculada García. On success rates for controlled random search. Journal of Global Optimization, 21(3):239–263, 2001. [6] Juan Antonio Infante, Benjamin Ivorra, Ángel Manuel Ramos, and Jose Maria Rey. On the modelling and simulation of high pressure processes and inactivation of enzymes in food engineering. Mathematical Models and Methods in Applied Sciences, 19(12):2203–2229, 2009. [7] Benjamin Ivorra, Bijan Mohammadi, and Ángel Manuel Ramos. A multi-layer line search method to improve the initialization of optimization algorithms. European Journal of Operational Research, 247(3):711–720, 2015. [8] Wyn L. Price. A controlled random search procedure for global optimisation. The Computer Journal, 20(4):367–370, 1977. [9] Lise Verbeyst, Ragne Bogaerts, Iesel Van der Plancken, Marc Hendrickx, and Ann Van Loey. Modelling of vitamin C degradation during thermal and high-pressure treatments of red fruit. Food and Bioprocess Technology, 6(4):1015–1023, 2013.
dspace.entity.typePublication
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relation.isAuthorOfPublication581c3cdf-f1ce-41e0-ac1e-c32b110407b1
relation.isAuthorOfPublication.latestForDiscovery6d5e1204-9b8a-40f4-b149-02d32e0bbed2

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