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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/12013
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T10:06:18Zoai: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:34982025-09-03 10:06:18.374CONICET 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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1842269952220856320 |
score |
13.13397 |