Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment

Autores
Poccia, María Eugenia; Beccaria, Alejandro; Dondo, Rodolfo Gabriel
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The microbial growth in multi-substrate environments may be viewed as an optimal resources allocation problem. The optimization aims at maximizing some biological objective like the biomass growth. The models developed using this hypothesis are called “cybernetic” and they represent the complex cell structure as an optimizing function that regulates the intracellular enzymatic machinery. In this work, a cybernetic model was developed to represent the growth of two E. coli strains (JM 109 and BL 21 –DE3–) on a medium containing glucose and glycerol as carbon and energy sources. The model was able to accurately simulate the biomass growth, the substrates consumption and the growth-rate profiles.
Fil: Poccia, María Eugenia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
Fil: Beccaria, Alejandro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
Fil: Dondo, Rodolfo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Materia
Cybernetic model
Optimal control
Glycerol
-
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/9269

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spelling Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environmentPoccia, María EugeniaBeccaria, AlejandroDondo, Rodolfo GabrielCybernetic modelOptimal controlGlycerol-https://purl.org/becyt/ford/2.9https://purl.org/becyt/ford/2The microbial growth in multi-substrate environments may be viewed as an optimal resources allocation problem. The optimization aims at maximizing some biological objective like the biomass growth. The models developed using this hypothesis are called “cybernetic” and they represent the complex cell structure as an optimizing function that regulates the intracellular enzymatic machinery. In this work, a cybernetic model was developed to represent the growth of two E. coli strains (JM 109 and BL 21 –DE3–) on a medium containing glucose and glycerol as carbon and energy sources. The model was able to accurately simulate the biomass growth, the substrates consumption and the growth-rate profiles.Fil: Poccia, María Eugenia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; ArgentinaFil: Beccaria, Alejandro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; ArgentinaFil: Dondo, Rodolfo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaBrazilian Society Of Chemical Engineering2014-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/9269Poccia, María Eugenia; Beccaria, Alejandro; Dondo, Rodolfo Gabriel; Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment; Brazilian Society Of Chemical Engineering; Brazilian Journal Of Chemical Engineering; 31; 2; 4-2014; 347-3540104-66321678-4383enginfo:eu-repo/semantics/altIdentifier/url/http://ref.scielo.org/6ng54pinfo:eu-repo/semantics/altIdentifier/doi/10.1590/0104-6632.20140312s00002587info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:42:57Zoai:ri.conicet.gov.ar:11336/9269instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:42:57.75CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
title Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
spellingShingle Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
Poccia, María Eugenia
Cybernetic model
Optimal control
Glycerol
-
title_short Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
title_full Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
title_fullStr Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
title_full_unstemmed Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
title_sort Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment
dc.creator.none.fl_str_mv Poccia, María Eugenia
Beccaria, Alejandro
Dondo, Rodolfo Gabriel
author Poccia, María Eugenia
author_facet Poccia, María Eugenia
Beccaria, Alejandro
Dondo, Rodolfo Gabriel
author_role author
author2 Beccaria, Alejandro
Dondo, Rodolfo Gabriel
author2_role author
author
dc.subject.none.fl_str_mv Cybernetic model
Optimal control
Glycerol
-
topic Cybernetic model
Optimal control
Glycerol
-
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.9
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The microbial growth in multi-substrate environments may be viewed as an optimal resources allocation problem. The optimization aims at maximizing some biological objective like the biomass growth. The models developed using this hypothesis are called “cybernetic” and they represent the complex cell structure as an optimizing function that regulates the intracellular enzymatic machinery. In this work, a cybernetic model was developed to represent the growth of two E. coli strains (JM 109 and BL 21 –DE3–) on a medium containing glucose and glycerol as carbon and energy sources. The model was able to accurately simulate the biomass growth, the substrates consumption and the growth-rate profiles.
Fil: Poccia, María Eugenia. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
Fil: Beccaria, Alejandro. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas; Argentina
Fil: Dondo, Rodolfo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
description The microbial growth in multi-substrate environments may be viewed as an optimal resources allocation problem. The optimization aims at maximizing some biological objective like the biomass growth. The models developed using this hypothesis are called “cybernetic” and they represent the complex cell structure as an optimizing function that regulates the intracellular enzymatic machinery. In this work, a cybernetic model was developed to represent the growth of two E. coli strains (JM 109 and BL 21 –DE3–) on a medium containing glucose and glycerol as carbon and energy sources. The model was able to accurately simulate the biomass growth, the substrates consumption and the growth-rate profiles.
publishDate 2014
dc.date.none.fl_str_mv 2014-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/9269
Poccia, María Eugenia; Beccaria, Alejandro; Dondo, Rodolfo Gabriel; Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment; Brazilian Society Of Chemical Engineering; Brazilian Journal Of Chemical Engineering; 31; 2; 4-2014; 347-354
0104-6632
1678-4383
url http://hdl.handle.net/11336/9269
identifier_str_mv Poccia, María Eugenia; Beccaria, Alejandro; Dondo, Rodolfo Gabriel; Modeling the microbial growth of two "Escherichia coli" strains in a multi-substrate environment; Brazilian Society Of Chemical Engineering; Brazilian Journal Of Chemical Engineering; 31; 2; 4-2014; 347-354
0104-6632
1678-4383
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ref.scielo.org/6ng54p
info:eu-repo/semantics/altIdentifier/doi/10.1590/0104-6632.20140312s00002587
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Brazilian Society Of Chemical Engineering
publisher.none.fl_str_mv Brazilian Society Of Chemical Engineering
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432