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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/9269
Ver los metadatos del registro completo
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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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1844613352049868800 |
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13.070432 |