MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Chemical Engineering |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000200441 |
Resumo: | Abstract Baby Hamster Kidney cells (BHK-21) are commonly used in research and the biopharmaceutical industry. This work aimed to model the kinetic performance in batch operation mode of BHK-21 cells cultured in two stirred tank configurations using different dissolved oxygen concentrations and pH control strategies. Viable and dead cell concentrations, as well as glucose, glutamine, lactate and ammonium concentrations, were monitored. Statistical multiple linear regression, logistic equation and multiplicative Monod kinetic models were fitted. Statistical models for viable cells concentration as a function of nutrient and metabolite concentrations were significant (R2 >0.91). Logistic model parameters: intrinsic growth rate, cell density level in the medium and time for reaching maximum cell concentrations were within 0.061-0.083 h-1, 1.85-5.39 x 109 cell L-1 and 52-90 h ranges, respectively. A Monod-type model was satisfactorily fitted to the experimental data. Relative errors were lower than 10% for six monitored state variables in most of the assessed experimental conditions. The three models developed in this work can be used in bioprocesses involving BHK-21 with good fitting. |
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Brazilian Journal of Chemical Engineering |
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MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODEbatch operationbioprocess engineeringmammalian cell culturemathematical modellingstirred tank bioreactorAbstract Baby Hamster Kidney cells (BHK-21) are commonly used in research and the biopharmaceutical industry. This work aimed to model the kinetic performance in batch operation mode of BHK-21 cells cultured in two stirred tank configurations using different dissolved oxygen concentrations and pH control strategies. Viable and dead cell concentrations, as well as glucose, glutamine, lactate and ammonium concentrations, were monitored. Statistical multiple linear regression, logistic equation and multiplicative Monod kinetic models were fitted. Statistical models for viable cells concentration as a function of nutrient and metabolite concentrations were significant (R2 >0.91). Logistic model parameters: intrinsic growth rate, cell density level in the medium and time for reaching maximum cell concentrations were within 0.061-0.083 h-1, 1.85-5.39 x 109 cell L-1 and 52-90 h ranges, respectively. A Monod-type model was satisfactorily fitted to the experimental data. Relative errors were lower than 10% for six monitored state variables in most of the assessed experimental conditions. The three models developed in this work can be used in bioprocesses involving BHK-21 with good fitting.Brazilian Society of Chemical Engineering2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000200441Brazilian Journal of Chemical Engineering v.35 n.2 2018reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/0104-6632.20180352s20160592info:eu-repo/semantics/openAccessSartori,RogerLeme,JaciCaricati,Celso PereiraTonso,AldoNúñez,Eutimio Gustavo Fernándezeng2018-09-17T00:00:00Zoai:scielo:S0104-66322018000200441Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2018-09-17T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE |
title |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE |
spellingShingle |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE Sartori,Roger batch operation bioprocess engineering mammalian cell culture mathematical modelling stirred tank bioreactor |
title_short |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE |
title_full |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE |
title_fullStr |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE |
title_full_unstemmed |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE |
title_sort |
MODEL COMPARISON TO DESCRIBE BHK-21 CELL GROWTH AND METABOLISM IN STIRRED TANK BIOREACTORS OPERATED IN BATCH MODE |
author |
Sartori,Roger |
author_facet |
Sartori,Roger Leme,Jaci Caricati,Celso Pereira Tonso,Aldo Núñez,Eutimio Gustavo Fernández |
author_role |
author |
author2 |
Leme,Jaci Caricati,Celso Pereira Tonso,Aldo Núñez,Eutimio Gustavo Fernández |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Sartori,Roger Leme,Jaci Caricati,Celso Pereira Tonso,Aldo Núñez,Eutimio Gustavo Fernández |
dc.subject.por.fl_str_mv |
batch operation bioprocess engineering mammalian cell culture mathematical modelling stirred tank bioreactor |
topic |
batch operation bioprocess engineering mammalian cell culture mathematical modelling stirred tank bioreactor |
description |
Abstract Baby Hamster Kidney cells (BHK-21) are commonly used in research and the biopharmaceutical industry. This work aimed to model the kinetic performance in batch operation mode of BHK-21 cells cultured in two stirred tank configurations using different dissolved oxygen concentrations and pH control strategies. Viable and dead cell concentrations, as well as glucose, glutamine, lactate and ammonium concentrations, were monitored. Statistical multiple linear regression, logistic equation and multiplicative Monod kinetic models were fitted. Statistical models for viable cells concentration as a function of nutrient and metabolite concentrations were significant (R2 >0.91). Logistic model parameters: intrinsic growth rate, cell density level in the medium and time for reaching maximum cell concentrations were within 0.061-0.083 h-1, 1.85-5.39 x 109 cell L-1 and 52-90 h ranges, respectively. A Monod-type model was satisfactorily fitted to the experimental data. Relative errors were lower than 10% for six monitored state variables in most of the assessed experimental conditions. The three models developed in this work can be used in bioprocesses involving BHK-21 with good fitting. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000200441 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000200441 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0104-6632.20180352s20160592 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 |
Brazilian Journal of Chemical Engineering v.35 n.2 2018 reponame:Brazilian Journal of Chemical Engineering instname:Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
instname_str |
Associação Brasileira de Engenharia Química (ABEQ) |
instacron_str |
ABEQ |
institution |
ABEQ |
reponame_str |
Brazilian Journal of Chemical Engineering |
collection |
Brazilian Journal of Chemical Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ) |
repository.mail.fl_str_mv |
rgiudici@usp.br||rgiudici@usp.br |
_version_ |
1754213175902863360 |