Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control

Autores
Amicarelli, Adriana Natacha; Di Sciascio, Fernando Agustín; Toibero, Juan Marcos; Álvarez, Hernán
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper proposes a model to characterize the Dissolved Oxygen Dynamics (DO) for the Bacillus thuringiensis (Bt) δ-endotoxins production process. The objective of this work is to include this dynamics into a phenomenological model of the process in order to facilitate the biomass estimation from the knowledge of oxygen consumption; and for control purposes, by allowing the addition of a new control variable in order to favorably influence the bioprocess evolution. The mentioned DO model is based on first principles and parameter estimation and model verification are supported by real experimental data. Finally, a control strategy is designed based on this model with its corresponding asymptotic stability and robustness analysis.
Fil: Amicarelli, Adriana Natacha. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Di Sciascio, Fernando Agustín. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Toibero, Juan Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Álvarez, Hernán. Universidad Nacional de Colombia; Colombia
Materia
Dissolved Oxygen Phenomenological Model
Batch Processes
Biotechnological Processes
Parameter Estimation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/288272
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process controlAmicarelli, Adriana NatachaDi Sciascio, Fernando AgustínToibero, Juan MarcosÁlvarez, HernánDissolved Oxygen Phenomenological ModelBatch ProcessesBiotechnological ProcessesParameter Estimationhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper proposes a model to characterize the Dissolved Oxygen Dynamics (DO) for the Bacillus thuringiensis (Bt) δ-endotoxins production process. The objective of this work is to include this dynamics into a phenomenological model of the process in order to facilitate the biomass estimation from the knowledge of oxygen consumption; and for control purposes, by allowing the addition of a new control variable in order to favorably influence the bioprocess evolution. The mentioned DO model is based on first principles and parameter estimation and model verification are supported by real experimental data. Finally, a control strategy is designed based on this model with its corresponding asymptotic stability and robustness analysis.Fil: Amicarelli, Adriana Natacha. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Di Sciascio, Fernando Agustín. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Toibero, Juan Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Álvarez, Hernán. Universidad Nacional de Colombia; ColombiaBrazilian Society of Chemical Engineering2010-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/288272Amicarelli, Adriana Natacha; Di Sciascio, Fernando Agustín; Toibero, Juan Marcos; Álvarez, Hernán; Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control; Brazilian Society of Chemical Engineering; Brazilian Journal of Chemical Engineering; 27; 1; 1-2010; 41-620104-66321678-4383CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.scielo.br/j/bjce/a/8m54BZJC8RDDvC5pQCDvXrh/info:eu-repo/semantics/altIdentifier/doi/10.1590/S0104-66322010000100004info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-06-17T09:40:56Zoai:ri.conicet.gov.ar:11336/288272instacron: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:34982026-06-17 09:40:56.379CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
spellingShingle Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
Amicarelli, Adriana Natacha
Dissolved Oxygen Phenomenological Model
Batch Processes
Biotechnological Processes
Parameter Estimation
title_short Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_full Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_fullStr Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_full_unstemmed Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
title_sort Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control
dc.creator.none.fl_str_mv Amicarelli, Adriana Natacha
Di Sciascio, Fernando Agustín
Toibero, Juan Marcos
Álvarez, Hernán
author Amicarelli, Adriana Natacha
author_facet Amicarelli, Adriana Natacha
Di Sciascio, Fernando Agustín
Toibero, Juan Marcos
Álvarez, Hernán
author_role author
author2 Di Sciascio, Fernando Agustín
Toibero, Juan Marcos
Álvarez, Hernán
author2_role author
author
author
dc.subject.none.fl_str_mv Dissolved Oxygen Phenomenological Model
Batch Processes
Biotechnological Processes
Parameter Estimation
topic Dissolved Oxygen Phenomenological Model
Batch Processes
Biotechnological Processes
Parameter Estimation
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper proposes a model to characterize the Dissolved Oxygen Dynamics (DO) for the Bacillus thuringiensis (Bt) δ-endotoxins production process. The objective of this work is to include this dynamics into a phenomenological model of the process in order to facilitate the biomass estimation from the knowledge of oxygen consumption; and for control purposes, by allowing the addition of a new control variable in order to favorably influence the bioprocess evolution. The mentioned DO model is based on first principles and parameter estimation and model verification are supported by real experimental data. Finally, a control strategy is designed based on this model with its corresponding asymptotic stability and robustness analysis.
Fil: Amicarelli, Adriana Natacha. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Di Sciascio, Fernando Agustín. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Toibero, Juan Marcos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Álvarez, Hernán. Universidad Nacional de Colombia; Colombia
description This paper proposes a model to characterize the Dissolved Oxygen Dynamics (DO) for the Bacillus thuringiensis (Bt) δ-endotoxins production process. The objective of this work is to include this dynamics into a phenomenological model of the process in order to facilitate the biomass estimation from the knowledge of oxygen consumption; and for control purposes, by allowing the addition of a new control variable in order to favorably influence the bioprocess evolution. The mentioned DO model is based on first principles and parameter estimation and model verification are supported by real experimental data. Finally, a control strategy is designed based on this model with its corresponding asymptotic stability and robustness analysis.
publishDate 2010
dc.date.none.fl_str_mv 2010-01
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/11336/288272
Amicarelli, Adriana Natacha; Di Sciascio, Fernando Agustín; Toibero, Juan Marcos; Álvarez, Hernán; Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control; Brazilian Society of Chemical Engineering; Brazilian Journal of Chemical Engineering; 27; 1; 1-2010; 41-62
0104-6632
1678-4383
CONICET Digital
CONICET
url http://hdl.handle.net/11336/288272
identifier_str_mv Amicarelli, Adriana Natacha; Di Sciascio, Fernando Agustín; Toibero, Juan Marcos; Álvarez, Hernán; Including dissolved oxygen dynamics into the Bt δ-endotoxins production process model and its application to process control; Brazilian Society of Chemical Engineering; Brazilian Journal of Chemical Engineering; 27; 1; 1-2010; 41-62
0104-6632
1678-4383
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.scielo.br/j/bjce/a/8m54BZJC8RDDvC5pQCDvXrh/
info:eu-repo/semantics/altIdentifier/doi/10.1590/S0104-66322010000100004
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
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 13.040872

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