Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures

Autores
Gorrini, Federico Alberto; Biagiola, Silvina Ines; Figueroa, Jose Luis; Wouwer, Alain Vande
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Cultures of hybridoma cells in bioreactors are commonly used to produce monoclonal antibodies. As an alternative to nonlinear model predictive control, which has recently been applied successfully to optimize the process productivity, a simpler control approach is developed in the present study. This strategy is based on a classical PI controller and software sensors for the reaction rates, which exploit the particular structure of the dynamic model. The dynamic behavior of the process can indeed be subdivided into four operating zones, depending on the overflow metabolism of the hybridoma cells. In addition, robustness toward model uncertainties and measurement noise is investigated.
Fil: Gorrini, Federico Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Biagiola, Silvina Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Figueroa, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Wouwer, Alain Vande. Faculté Polytechnique de Mon; Bélgica
Materia
Process Control
Optimizing Control
State Estimation
Bioprocess
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:11336/64639
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma CulturesGorrini, Federico AlbertoBiagiola, Silvina InesFigueroa, Jose LuisWouwer, Alain VandeProcess ControlOptimizing ControlState EstimationBioprocesshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Cultures of hybridoma cells in bioreactors are commonly used to produce monoclonal antibodies. As an alternative to nonlinear model predictive control, which has recently been applied successfully to optimize the process productivity, a simpler control approach is developed in the present study. This strategy is based on a classical PI controller and software sensors for the reaction rates, which exploit the particular structure of the dynamic model. The dynamic behavior of the process can indeed be subdivided into four operating zones, depending on the overflow metabolism of the hybridoma cells. In addition, robustness toward model uncertainties and measurement noise is investigated.Fil: Gorrini, Federico Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; ArgentinaFil: Biagiola, Silvina Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; ArgentinaFil: Figueroa, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; ArgentinaFil: Wouwer, Alain Vande. Faculté Polytechnique de Mon; BélgicaAmerican Chemical Society2017-12-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/64639Gorrini, Federico Alberto; Biagiola, Silvina Ines; Figueroa, Jose Luis; Wouwer, Alain Vande; Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures; American Chemical Society; Industrial & Engineering Chemical Research; 56; 51; 2-12-2017; 15072-150820888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/abs/10.1021/acs.iecr.7b03395info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.7b03395info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:21:02Zoai:ri.conicet.gov.ar:11336/64639instacron: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:34982025-10-15 14:21:03.243CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
title Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
spellingShingle Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
Gorrini, Federico Alberto
Process Control
Optimizing Control
State Estimation
Bioprocess
title_short Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
title_full Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
title_fullStr Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
title_full_unstemmed Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
title_sort Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures
dc.creator.none.fl_str_mv Gorrini, Federico Alberto
Biagiola, Silvina Ines
Figueroa, Jose Luis
Wouwer, Alain Vande
author Gorrini, Federico Alberto
author_facet Gorrini, Federico Alberto
Biagiola, Silvina Ines
Figueroa, Jose Luis
Wouwer, Alain Vande
author_role author
author2 Biagiola, Silvina Ines
Figueroa, Jose Luis
Wouwer, Alain Vande
author2_role author
author
author
dc.subject.none.fl_str_mv Process Control
Optimizing Control
State Estimation
Bioprocess
topic Process Control
Optimizing Control
State Estimation
Bioprocess
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Cultures of hybridoma cells in bioreactors are commonly used to produce monoclonal antibodies. As an alternative to nonlinear model predictive control, which has recently been applied successfully to optimize the process productivity, a simpler control approach is developed in the present study. This strategy is based on a classical PI controller and software sensors for the reaction rates, which exploit the particular structure of the dynamic model. The dynamic behavior of the process can indeed be subdivided into four operating zones, depending on the overflow metabolism of the hybridoma cells. In addition, robustness toward model uncertainties and measurement noise is investigated.
Fil: Gorrini, Federico Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Biagiola, Silvina Ines. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Figueroa, Jose Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Wouwer, Alain Vande. Faculté Polytechnique de Mon; Bélgica
description Cultures of hybridoma cells in bioreactors are commonly used to produce monoclonal antibodies. As an alternative to nonlinear model predictive control, which has recently been applied successfully to optimize the process productivity, a simpler control approach is developed in the present study. This strategy is based on a classical PI controller and software sensors for the reaction rates, which exploit the particular structure of the dynamic model. The dynamic behavior of the process can indeed be subdivided into four operating zones, depending on the overflow metabolism of the hybridoma cells. In addition, robustness toward model uncertainties and measurement noise is investigated.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-02
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/11336/64639
Gorrini, Federico Alberto; Biagiola, Silvina Ines; Figueroa, Jose Luis; Wouwer, Alain Vande; Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures; American Chemical Society; Industrial & Engineering Chemical Research; 56; 51; 2-12-2017; 15072-15082
0888-5885
CONICET Digital
CONICET
url http://hdl.handle.net/11336/64639
identifier_str_mv Gorrini, Federico Alberto; Biagiola, Silvina Ines; Figueroa, Jose Luis; Wouwer, Alain Vande; Simple Observer-Based Feedback Strategy for Controlling Fed-Batch Hybridoma Cultures; American Chemical Society; Industrial & Engineering Chemical Research; 56; 51; 2-12-2017; 15072-15082
0888-5885
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://pubs.acs.org/doi/abs/10.1021/acs.iecr.7b03395
info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.iecr.7b03395
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 American Chemical Society
publisher.none.fl_str_mv American Chemical Society
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
_version_ 1846082594184101888
score 13.22299

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