Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation

Autores
Laiglecia, Juan Ignacio; Estrada, Vanina Gisela; Vidal Vidal, Rebeca; Florencio, Francisco J.; Guerrero, Miguel G.; Diaz, Maria Soledad
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work, we present parameter estimation problem for Dynamic Flux Balance Analysis to study the production of ethanol by a mutant strain of the cyanobacterium Synechocystis sp. PCC 6803, as well as experimental data. This modified strain harbors the genes pdc and adhII from Zymomonas mobilis. The model includes two major components: (1) a dynamic model with mass balances for biomass, ethanol, nitrate, phosphate, internal nitrogen and phosphorus, and (2) a steady state genome-scale metabolic LP model. The biomass equation includes limiting functions for temperature and kinetics of growth inhibition by ethanol toxicity. Limitation of light by biomass accumulation is also taken into account. We formulate a dynamic parameter estimation problem with a weighted least-squares objective function, subject to dynamic mass balance equations at the bioreactor level and the intracellular LP model. The problem is solved in GAMS through a simultaneous optimization approach. Data set for parameter estimation were obtained in experiments performed over 73 h in batch liquid cultures. Numerical results provide useful insights on ethanol production by the genetic modified strain within the context of genomic-scale cyanobacterial metabolism.
Fil: Laiglecia, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Vidal Vidal, Rebeca. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; España
Fil: Florencio, Francisco J.. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; España
Fil: Guerrero, Miguel G.. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; España
Fil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Materia
Parameter Estimation
Dynamic Flux Balance Analysis
Ethanol Production
Bilevel Programming
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:11336/12013
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/12013
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter EstimationLaiglecia, Juan IgnacioEstrada, Vanina GiselaVidal Vidal, RebecaFlorencio, Francisco J.Guerrero, Miguel G.Diaz, Maria SoledadParameter EstimationDynamic Flux Balance AnalysisEthanol ProductionBilevel Programminghttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this work, we present parameter estimation problem for Dynamic Flux Balance Analysis to study the production of ethanol by a mutant strain of the cyanobacterium Synechocystis sp. PCC 6803, as well as experimental data. This modified strain harbors the genes pdc and adhII from Zymomonas mobilis. The model includes two major components: (1) a dynamic model with mass balances for biomass, ethanol, nitrate, phosphate, internal nitrogen and phosphorus, and (2) a steady state genome-scale metabolic LP model. The biomass equation includes limiting functions for temperature and kinetics of growth inhibition by ethanol toxicity. Limitation of light by biomass accumulation is also taken into account. We formulate a dynamic parameter estimation problem with a weighted least-squares objective function, subject to dynamic mass balance equations at the bioreactor level and the intracellular LP model. The problem is solved in GAMS through a simultaneous optimization approach. Data set for parameter estimation were obtained in experiments performed over 73 h in batch liquid cultures. Numerical results provide useful insights on ethanol production by the genetic modified strain within the context of genomic-scale cyanobacterial metabolism.Fil: Laiglecia, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaFil: Vidal Vidal, Rebeca. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; EspañaFil: Florencio, Francisco J.. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; EspañaFil: Guerrero, Miguel G.. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; EspañaFil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; ArgentinaAssociazione Italiana Di Ingegneria Chimica2013-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12013Laiglecia, Juan Ignacio; Estrada, Vanina Gisela; Vidal Vidal, Rebeca; Florencio, Francisco J.; Guerrero, Miguel G.; et al.; Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation; Associazione Italiana Di Ingegneria Chimica; Chemical Engineering Transactions; 32; 5-2013; 955-9601974-9791enginfo:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/13/32/160.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.3303/CET1332160info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:36Zoai:ri.conicet.gov.ar:11336/12013instacron: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 10:29:36.993CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
title Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
spellingShingle Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
Laiglecia, Juan Ignacio
Parameter Estimation
Dynamic Flux Balance Analysis
Ethanol Production
Bilevel Programming
title_short Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
title_full Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
title_fullStr Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
title_full_unstemmed Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
title_sort Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation
dc.creator.none.fl_str_mv Laiglecia, Juan Ignacio
Estrada, Vanina Gisela
Vidal Vidal, Rebeca
Florencio, Francisco J.
Guerrero, Miguel G.
Diaz, Maria Soledad
author Laiglecia, Juan Ignacio
author_facet Laiglecia, Juan Ignacio
Estrada, Vanina Gisela
Vidal Vidal, Rebeca
Florencio, Francisco J.
Guerrero, Miguel G.
Diaz, Maria Soledad
author_role author
author2 Estrada, Vanina Gisela
Vidal Vidal, Rebeca
Florencio, Francisco J.
Guerrero, Miguel G.
Diaz, Maria Soledad
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Parameter Estimation
Dynamic Flux Balance Analysis
Ethanol Production
Bilevel Programming
topic Parameter Estimation
Dynamic Flux Balance Analysis
Ethanol Production
Bilevel Programming
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this work, we present parameter estimation problem for Dynamic Flux Balance Analysis to study the production of ethanol by a mutant strain of the cyanobacterium Synechocystis sp. PCC 6803, as well as experimental data. This modified strain harbors the genes pdc and adhII from Zymomonas mobilis. The model includes two major components: (1) a dynamic model with mass balances for biomass, ethanol, nitrate, phosphate, internal nitrogen and phosphorus, and (2) a steady state genome-scale metabolic LP model. The biomass equation includes limiting functions for temperature and kinetics of growth inhibition by ethanol toxicity. Limitation of light by biomass accumulation is also taken into account. We formulate a dynamic parameter estimation problem with a weighted least-squares objective function, subject to dynamic mass balance equations at the bioreactor level and the intracellular LP model. The problem is solved in GAMS through a simultaneous optimization approach. Data set for parameter estimation were obtained in experiments performed over 73 h in batch liquid cultures. Numerical results provide useful insights on ethanol production by the genetic modified strain within the context of genomic-scale cyanobacterial metabolism.
Fil: Laiglecia, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Estrada, Vanina Gisela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
Fil: Vidal Vidal, Rebeca. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; España
Fil: Florencio, Francisco J.. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; España
Fil: Guerrero, Miguel G.. Universidad de Sevilla. Consejo Superior de Investigaciones Cientificas; España
Fil: Diaz, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina. Universidad Nacional del Sur; Argentina
description In this work, we present parameter estimation problem for Dynamic Flux Balance Analysis to study the production of ethanol by a mutant strain of the cyanobacterium Synechocystis sp. PCC 6803, as well as experimental data. This modified strain harbors the genes pdc and adhII from Zymomonas mobilis. The model includes two major components: (1) a dynamic model with mass balances for biomass, ethanol, nitrate, phosphate, internal nitrogen and phosphorus, and (2) a steady state genome-scale metabolic LP model. The biomass equation includes limiting functions for temperature and kinetics of growth inhibition by ethanol toxicity. Limitation of light by biomass accumulation is also taken into account. We formulate a dynamic parameter estimation problem with a weighted least-squares objective function, subject to dynamic mass balance equations at the bioreactor level and the intracellular LP model. The problem is solved in GAMS through a simultaneous optimization approach. Data set for parameter estimation were obtained in experiments performed over 73 h in batch liquid cultures. Numerical results provide useful insights on ethanol production by the genetic modified strain within the context of genomic-scale cyanobacterial metabolism.
publishDate 2013
dc.date.none.fl_str_mv 2013-05
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/11336/12013
Laiglecia, Juan Ignacio; Estrada, Vanina Gisela; Vidal Vidal, Rebeca; Florencio, Francisco J.; Guerrero, Miguel G.; et al.; Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation; Associazione Italiana Di Ingegneria Chimica; Chemical Engineering Transactions; 32; 5-2013; 955-960
1974-9791
url http://hdl.handle.net/11336/12013
identifier_str_mv Laiglecia, Juan Ignacio; Estrada, Vanina Gisela; Vidal Vidal, Rebeca; Florencio, Francisco J.; Guerrero, Miguel G.; et al.; Dynamic Flux Balance Analysis of a Genetic Engineered Cyanobacterium for Ethanol Production: Parameter Estimation; Associazione Italiana Di Ingegneria Chimica; Chemical Engineering Transactions; 32; 5-2013; 955-960
1974-9791
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.aidic.it/cet/13/32/160.pdf
info:eu-repo/semantics/altIdentifier/doi/10.3303/CET1332160
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
application/pdf
dc.publisher.none.fl_str_mv Associazione Italiana Di Ingegneria Chimica
publisher.none.fl_str_mv Associazione Italiana Di Ingegneria Chimica
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

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