Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes

Autores
Pedrozo, Héctor Alejandro; Dallagnol, Andrea Micaela; Schvezov, Carlos Enrique
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión borrador
Descripción
Fil: Pedrozo, Héctor Alejandro. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.
Fil: Pedrozo, Héctor Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.
Fil: Dallagnol, Andrea Micaela. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.
Fil: Dallagnol, Andrea Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.
Fil: Schvezov, Carlos Enrique. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.
Fil: Schvezov, Carlos Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.
Predictive food microbiology is normally based on mathematical models to predict the growth, inactivation or probability of microorganism growth which can be applied to establish the shelf-life of food. At present the effort in modeling is oriented towards extrapolation of results beyond experiments in order to predict growth of interacting microorganisms and develop new food preservation processes. In the present report two different mechanistic models which describe the growth of two interacting bacteria such as a lactic acid bacteria and Listeria monocytogenes are developed; they include two new inhibition functions based on kinetic reactions to describe the dynamic behavior of heterogeneous cell population. Both models are easy to handle and permit to introduce other kinetic reactions for more complex scenarios.
Materia
Predictive food microbiology
Interacting bacteria
Food preservation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución-NoComercial-CompartirIgual 4.0 Internacional
Repositorio
Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
Institución
Universidad Nacional de Misiones
OAI Identificador
oai:rid.unam.edu.ar:20.500.12219/4441
Acceder
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network_name_str Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
spelling Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenesPedrozo, Héctor AlejandroDallagnol, Andrea MicaelaSchvezov, Carlos EnriquePredictive food microbiologyInteracting bacteriaFood preservationFil: Pedrozo, Héctor Alejandro. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.Fil: Pedrozo, Héctor Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.Fil: Dallagnol, Andrea Micaela. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.Fil: Dallagnol, Andrea Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.Fil: Schvezov, Carlos Enrique. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.Fil: Schvezov, Carlos Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.Predictive food microbiology is normally based on mathematical models to predict the growth, inactivation or probability of microorganism growth which can be applied to establish the shelf-life of food. At present the effort in modeling is oriented towards extrapolation of results beyond experiments in order to predict growth of interacting microorganisms and develop new food preservation processes. In the present report two different mechanistic models which describe the growth of two interacting bacteria such as a lactic acid bacteria and Listeria monocytogenes are developed; they include two new inhibition functions based on kinetic reactions to describe the dynamic behavior of heterogeneous cell population. Both models are easy to handle and permit to introduce other kinetic reactions for more complex scenarios.Elsevier2017-10-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdf1.267 MBhttps://hdl.handle.net/20.500.12219/4441enginfo:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)instname:Universidad Nacional de Misiones2025-10-23T11:19:50Zoai:rid.unam.edu.ar:20.500.12219/4441instacron:UNAMInstitucionalhttps://rid.unam.edu.ar/Universidad públicahttps://www.unam.edu.ar/https://rid.unam.edu.ar/oai/rsnrdArgentinaopendoar:2025-10-23 11:19:51.188Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misionesfalse
dc.title.none.fl_str_mv Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
title Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
spellingShingle Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
Pedrozo, Héctor Alejandro
Predictive food microbiology
Interacting bacteria
Food preservation
title_short Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
title_full Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
title_fullStr Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
title_full_unstemmed Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
title_sort Comparison among growth model of interacting microorganism : a lactic acid bacteria and Listeria monocytogenes
dc.creator.none.fl_str_mv Pedrozo, Héctor Alejandro
Dallagnol, Andrea Micaela
Schvezov, Carlos Enrique
author Pedrozo, Héctor Alejandro
author_facet Pedrozo, Héctor Alejandro
Dallagnol, Andrea Micaela
Schvezov, Carlos Enrique
author_role author
author2 Dallagnol, Andrea Micaela
Schvezov, Carlos Enrique
author2_role author
author
dc.subject.none.fl_str_mv Predictive food microbiology
Interacting bacteria
Food preservation
topic Predictive food microbiology
Interacting bacteria
Food preservation
dc.description.none.fl_txt_mv Fil: Pedrozo, Héctor Alejandro. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.
Fil: Pedrozo, Héctor Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.
Fil: Dallagnol, Andrea Micaela. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.
Fil: Dallagnol, Andrea Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.
Fil: Schvezov, Carlos Enrique. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.
Fil: Schvezov, Carlos Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico (Nordeste). Instituto de Materiales de Misiones; Argentina.
Predictive food microbiology is normally based on mathematical models to predict the growth, inactivation or probability of microorganism growth which can be applied to establish the shelf-life of food. At present the effort in modeling is oriented towards extrapolation of results beyond experiments in order to predict growth of interacting microorganisms and develop new food preservation processes. In the present report two different mechanistic models which describe the growth of two interacting bacteria such as a lactic acid bacteria and Listeria monocytogenes are developed; they include two new inhibition functions based on kinetic reactions to describe the dynamic behavior of heterogeneous cell population. Both models are easy to handle and permit to introduce other kinetic reactions for more complex scenarios.
description Fil: Pedrozo, Héctor Alejandro. Universidad Nacional de Misiones. Facultad de Ciencias Exactas, Químicas y Naturales. Instituto de Materiales de Misiones; Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/draft
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str draft
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12219/4441
url https://hdl.handle.net/20.500.12219/4441
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
application/pdf
1.267 MB
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
instname:Universidad Nacional de Misiones
reponame_str Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
collection Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM)
instname_str Universidad Nacional de Misiones
repository.name.fl_str_mv Repositorio Institucional Digital de la Universidad Nacional de Misiones (UNaM) - Universidad Nacional de Misiones
repository.mail.fl_str_mv
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