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dc.contributor.author
Chiappini, Fabricio Alejandro  
dc.contributor.author
Azcarate, Silvana Mariela  
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Alcaraz, Mirta Raquel  
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Forno, Angela Guillermina  
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Goicoechea, Hector Casimiro  
dc.date.available
2022-08-10T14:25:05Z  
dc.date.issued
2021-07  
dc.identifier.citation
Chiappini, Fabricio Alejandro; Azcarate, Silvana Mariela; Alcaraz, Mirta Raquel; Forno, Angela Guillermina; Goicoechea, Hector Casimiro; Prospective inference of bioprocess cell viability through chemometric modeling of fluorescence multiway data; American Institute of Chemical Engineers; Biotechnology Progress; 37; 4; 7-2021; 1-12  
dc.identifier.issn
8756-7938  
dc.identifier.uri
http://hdl.handle.net/11336/164949  
dc.description.abstract
In this investigation, the fermentation step of a standard mammalian cell-based industrial bioprocess for the production of a therapeutic protein was studied, with particular emphasis on the evolution of cell viability. This parameter constitutes one of the critical variables for bioprocess monitoring since it can affect downstream operations and the quality of the final product. In addition, when the cells experiment an unpredictable drop in viability, the assessment of this variable through classic off-line methods may not provide information sufficiently in advance to take corrective actions. In this context, Process Analytical Technology (PAT) framework aims to develop novel strategies for more efficient monitoring of critical variables, in order to improve the bioprocess performance. Thus, in this work, a set of chemometric tools were integrated to establish a PAT strategy to monitor cell viability, based on fluorescence multiway data obtained from fermentation samples of a particular bioprocess, in two different scales of operation. The spectral information, together with data regarding process variables, was integrated through chemometric exploratory tools to characterize the bioprocess and stablish novel criteria for the monitoring of cell viability. These findings motivated the development of a multivariate classification model, aiming to obtain predictive tools for the monitoring of future lots of the same bioprocess. The model could be satisfactorily fitted, showing the non-error rate of prediction of 100%.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Institute of Chemical Engineers  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BIOPROCESS  
dc.subject
CELL VIABILITY MONITORING  
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CHEMOMETRICS  
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FLUORESCENCE SECOND-ORDER DATA  
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PROCESS ANALYTICAL TECHNOLOGY  
dc.subject.classification
Química Analítica  
dc.subject.classification
Ciencias Químicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Prospective inference of bioprocess cell viability through chemometric modeling of fluorescence multiway data  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-08-08T15:17:16Z  
dc.journal.volume
37  
dc.journal.number
4  
dc.journal.pagination
1-12  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Chiappini, Fabricio Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina  
dc.description.fil
Fil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales; Argentina  
dc.description.fil
Fil: Alcaraz, Mirta Raquel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina  
dc.description.fil
Fil: Forno, Angela Guillermina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Parque Tecnológico del Litoral Centro Sapem; Argentina  
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Laboratorio de Desarrollo Analítico y Quimiometría; Argentina  
dc.journal.title
Biotechnology Progress  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1002/btpr.3173  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1002/btpr.3173