Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes

Autores
Jamilis Ricaldoni, Martín Ignacio; Garelli, Fabricio; Mozumder, Salatul Islam; Castañeda, María Teresita; De Battista, Hernán
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper addresses the estimation of the specific production rate of intracellular products and the modeling of the bioreactor volume dynamics in high cell density fed-batch reactors. In particular, a new model for the bioreactor volume is proposed, suitable to be used in high cell density cultures where large amounts of intracellular products are stored. Based on the proposed volume model, two forms of a high-order sliding mode observer are proposed. Each form corresponds to the cases with residual biomass concentration or volume measurement, respectively. The observers achieve finite time convergence and robustness to process uncertainties as the kinetic model is not required. Stability proofs for the proposed observer are given. The observer algorithm is assessed numerically and experimentally.
Materia
Observer
Sliding mode
High cell density
Estimation
Volume model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/7751
Acceder
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oai_identifier_str oai:digital.cic.gba.gob.ar:11746/7751
network_acronym_str CICBA
repository_id_str 9441
network_name_str CIC Digital (CICBA)
spelling Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processesJamilis Ricaldoni, Martín IgnacioGarelli, FabricioMozumder, Salatul IslamCastañeda, María TeresitaDe Battista, HernánObserverSliding modeHigh cell densityEstimationVolume modelThis paper addresses the estimation of the specific production rate of intracellular products and the modeling of the bioreactor volume dynamics in high cell density fed-batch reactors. In particular, a new model for the bioreactor volume is proposed, suitable to be used in high cell density cultures where large amounts of intracellular products are stored. Based on the proposed volume model, two forms of a high-order sliding mode observer are proposed. Each form corresponds to the cases with residual biomass concentration or volume measurement, respectively. The observers achieve finite time convergence and robustness to process uncertainties as the kinetic model is not required. Stability proofs for the proposed observer are given. The observer algorithm is assessed numerically and experimentally.2015-07-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/7751enginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00449-015-1430-7info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:40:08Zoai:digital.cic.gba.gob.ar:11746/7751Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:40:09.074CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
title Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
spellingShingle Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
Jamilis Ricaldoni, Martín Ignacio
Observer
Sliding mode
High cell density
Estimation
Volume model
title_short Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
title_full Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
title_fullStr Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
title_full_unstemmed Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
title_sort Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes
dc.creator.none.fl_str_mv Jamilis Ricaldoni, Martín Ignacio
Garelli, Fabricio
Mozumder, Salatul Islam
Castañeda, María Teresita
De Battista, Hernán
author Jamilis Ricaldoni, Martín Ignacio
author_facet Jamilis Ricaldoni, Martín Ignacio
Garelli, Fabricio
Mozumder, Salatul Islam
Castañeda, María Teresita
De Battista, Hernán
author_role author
author2 Garelli, Fabricio
Mozumder, Salatul Islam
Castañeda, María Teresita
De Battista, Hernán
author2_role author
author
author
author
dc.subject.none.fl_str_mv Observer
Sliding mode
High cell density
Estimation
Volume model
topic Observer
Sliding mode
High cell density
Estimation
Volume model
dc.description.none.fl_txt_mv This paper addresses the estimation of the specific production rate of intracellular products and the modeling of the bioreactor volume dynamics in high cell density fed-batch reactors. In particular, a new model for the bioreactor volume is proposed, suitable to be used in high cell density cultures where large amounts of intracellular products are stored. Based on the proposed volume model, two forms of a high-order sliding mode observer are proposed. Each form corresponds to the cases with residual biomass concentration or volume measurement, respectively. The observers achieve finite time convergence and robustness to process uncertainties as the kinetic model is not required. Stability proofs for the proposed observer are given. The observer algorithm is assessed numerically and experimentally.
description This paper addresses the estimation of the specific production rate of intracellular products and the modeling of the bioreactor volume dynamics in high cell density fed-batch reactors. In particular, a new model for the bioreactor volume is proposed, suitable to be used in high cell density cultures where large amounts of intracellular products are stored. Based on the proposed volume model, two forms of a high-order sliding mode observer are proposed. Each form corresponds to the cases with residual biomass concentration or volume measurement, respectively. The observers achieve finite time convergence and robustness to process uncertainties as the kinetic model is not required. Stability proofs for the proposed observer are given. The observer algorithm is assessed numerically and experimentally.
publishDate 2015
dc.date.none.fl_str_mv 2015-07-07
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 https://digital.cic.gba.gob.ar/handle/11746/7751
url https://digital.cic.gba.gob.ar/handle/11746/7751
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s00449-015-1430-7
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:CIC Digital (CICBA)
instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron:CICBA
reponame_str CIC Digital (CICBA)
collection CIC Digital (CICBA)
instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
instacron_str CICBA
institution CICBA
repository.name.fl_str_mv CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
repository.mail.fl_str_mv marisa.degiusti@sedici.unlp.edu.ar
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score 13.070432

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