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
- Institución
- Universidad Nacional de Misiones
- OAI Identificador
- oai:rid.unam.edu.ar:20.500.12219/4441
Ver los metadatos del registro completo
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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 Misiones2025-09-29T15:01:47Zoai: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:2025-09-29 15:01:47.273Repositorio 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 |
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12.559606 |