Hybrid modeling as a QbD/PAT tool in process development
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/153855 |
Resumo: | The authors thank Chi Chung (Tim) Choi and Paul Rice for their collaboration in batch production and performing off-line sample analysis and Carl Hémond for providing the RP-HPLC assay and results. The authors thank Paul Rice also for critical reading of the manuscript. © Copyright 2017 Elsevier B.V., All rights reserved. |
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Hybrid modeling as a QbD/PAT tool in process developmentan industrial E. coli case studyDynamic modelingE. coliHigh cell density fermentationHybrid modelingUpstream bioprocess development/optimizationBiotechnologyBioengineeringThe authors thank Chi Chung (Tim) Choi and Paul Rice for their collaboration in batch production and performing off-line sample analysis and Carl Hémond for providing the RP-HPLC assay and results. The authors thank Paul Rice also for critical reading of the manuscript. © Copyright 2017 Elsevier B.V., All rights reserved.Process understanding is emphasized in the process analytical technology initiative and the quality by design paradigm to be essential for manufacturing of biopharmaceutical products with consistent high quality. A typical approach to developing a process understanding is applying a combination of design of experiments with statistical data analysis. Hybrid semi-parametric modeling is investigated as an alternative method to pure statistical data analysis. The hybrid model framework provides flexibility to select model complexity based on available data and knowledge. Here, a parametric dynamic bioreactor model is integrated with a nonparametric artificial neural network that describes biomass and product formation rates as function of varied fed-batch fermentation conditions for high cell density heterologous protein production with E. coli. Our model can accurately describe biomass growth and product formation across variations in induction temperature, pH and feed rates. The model indicates that while product expression rate is a function of early induction phase conditions, it is negatively impacted as productivity increases. This could correspond with physiological changes due to cytoplasmic product accumulation. Due to the dynamic nature of the model, rational process timing decisions can be made and the impact of temporal variations in process parameters on product formation and process performance can be assessed, which is central for process understanding.DQ - Departamento de QuímicaLAQV@REQUIMTERUNvon Stosch, MoritzHamelink, Jan MartijnOliveira, Rui2023-06-12T22:17:17Z2016-05-012016-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article12application/pdfhttp://hdl.handle.net/10362/153855engvon Stosch, M., Hamelink, J. M., & Oliveira, R. (2016). Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study. Bioprocess and Biosystems Engineering, 39(5), 773-784. https://doi.org/10.1007/s00449-016-1557-11615-7591PURE: 14322505https://doi.org/10.1007/s00449-016-1557-1info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:36:20Zoai:run.unl.pt:10362/153855Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:55:24.519252Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Hybrid modeling as a QbD/PAT tool in process development an industrial E. coli case study |
title |
Hybrid modeling as a QbD/PAT tool in process development |
spellingShingle |
Hybrid modeling as a QbD/PAT tool in process development von Stosch, Moritz Dynamic modeling E. coli High cell density fermentation Hybrid modeling Upstream bioprocess development/optimization Biotechnology Bioengineering |
title_short |
Hybrid modeling as a QbD/PAT tool in process development |
title_full |
Hybrid modeling as a QbD/PAT tool in process development |
title_fullStr |
Hybrid modeling as a QbD/PAT tool in process development |
title_full_unstemmed |
Hybrid modeling as a QbD/PAT tool in process development |
title_sort |
Hybrid modeling as a QbD/PAT tool in process development |
author |
von Stosch, Moritz |
author_facet |
von Stosch, Moritz Hamelink, Jan Martijn Oliveira, Rui |
author_role |
author |
author2 |
Hamelink, Jan Martijn Oliveira, Rui |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
DQ - Departamento de Química LAQV@REQUIMTE RUN |
dc.contributor.author.fl_str_mv |
von Stosch, Moritz Hamelink, Jan Martijn Oliveira, Rui |
dc.subject.por.fl_str_mv |
Dynamic modeling E. coli High cell density fermentation Hybrid modeling Upstream bioprocess development/optimization Biotechnology Bioengineering |
topic |
Dynamic modeling E. coli High cell density fermentation Hybrid modeling Upstream bioprocess development/optimization Biotechnology Bioengineering |
description |
The authors thank Chi Chung (Tim) Choi and Paul Rice for their collaboration in batch production and performing off-line sample analysis and Carl Hémond for providing the RP-HPLC assay and results. The authors thank Paul Rice also for critical reading of the manuscript. © Copyright 2017 Elsevier B.V., All rights reserved. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-05-01 2016-05-01T00:00:00Z 2023-06-12T22:17:17Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/153855 |
url |
http://hdl.handle.net/10362/153855 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
von Stosch, M., Hamelink, J. M., & Oliveira, R. (2016). Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study. Bioprocess and Biosystems Engineering, 39(5), 773-784. https://doi.org/10.1007/s00449-016-1557-1 1615-7591 PURE: 14322505 https://doi.org/10.1007/s00449-016-1557-1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
12 application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138141436641280 |