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Assessing plasmid bioprocess reproducibility and C‐source uptake stage through multivariate analysis of offline and online data

dc.contributor.authorB. Lopes, Marta
dc.contributor.authorCalado, CecĆ­lia
dc.date.accessioned2018-04-23T08:16:51Z
dc.date.available2018-04-23T08:16:51Z
dc.date.issued2018-04
dc.description.abstractBACKGROUND: A considerable effort has been put forth by the biopharmaceutical industry to guarantee high-quality products and patient safety. Ensuring the reproducibility of microbial cultures is essential to achieve such high standards. Reproducibility is usually assessed by offline, costly and time-consuming analyses of the final product, disregarding the culture behavior along time, which affects the final product. Online data provided in real time by the bioreactor unit control (e.g., temperature, pH, dissolved oxygen concentration), unlike offline data acquired along the culture, implies no extra cost or contamination risks, thus holding the promise of playing an important role in assessing culture reproducibility. RESULTS: Eleven batch recombinant Escherichia coli DH5-α cultures producing the plasmid model pVAX-LacZ were analyzed by Multivariate Data Analysis (MVDA) of online and offline data. Similarities between the cultures were inspected by Principal Component Analysis (PCA) and the significance of the differences determined by Multivariate Analysis of Variance (MANOVA) based on offline data. Linear Discriminant Analysis (LDA) based on the online bioreactor data was also successful in predicting the cell growth stage at each time point regarding the C-source under consumption. CONCLUSION: Multivariate data analysis based on offline and online data has proved to be a valuable tool in assessing the cultures’ reproducibility and the metabolic stage regarding the C-source consumption phase at a given time. These results may certainly impact the biopharmaceutical industry, by drawing attention to the usefulness of combining MVDA and bioprocess data, particularly online data, never used for these purposes.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLOPES, Marta B.; CALADO, CecĆ­lia R. C. – Assessing plasmid bioprocess reproducibility and C‐source uptake stage through multivariate analysis of offline and online data. Journal of Chemical Technology and Biotechnology. ISSN 0268-2575. Vol. 93, N.Āŗ 10 (2018), pp. 3056-3066pt_PT
dc.identifier.doihttps://doi.org/10.1002/jctb.5666pt_PT
dc.identifier.issn0268-2575
dc.identifier.issn1097-4660
dc.identifier.urihttp://hdl.handle.net/10400.21/8430
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/epdf/10.1002/jctb.5666pt_PT
dc.subjectBiopharmaceuticalspt_PT
dc.subjectPATpt_PT
dc.subjectMultivariate data analysispt_PT
dc.subjectPlasmidpt_PT
dc.subjectReproducibilitypt_PT
dc.titleAssessing plasmid bioprocess reproducibility and C‐source uptake stage through multivariate analysis of offline and online datapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBPD%2F73758%2F2010/PT
oaire.citation.endPage3066pt_PT
oaire.citation.issue10
oaire.citation.startPage3056pt_PT
oaire.citation.titleJournal of Chemical Technology and Biotechnologypt_PT
oaire.citation.volume93
oaire.fundingStreamSFRH
person.familyNameB. Lopes
person.familyNameCalado
person.givenNameMarta
person.givenNameCecĆ­lia
person.identifier1195979
person.identifier130332
person.identifier.ciencia-idFD16-A07F-7B12
person.identifier.ciencia-id9418-E320-3177
person.identifier.orcid0000-0002-4135-1857
person.identifier.orcid0000-0002-5264-9755
person.identifier.ridF-5378-2011
person.identifier.ridE-2102-2014
person.identifier.scopus-author-id55489480400
person.identifier.scopus-author-id6603163260
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication183b936b-4a1d-4c80-9405-17491abb3d64
relation.isAuthorOfPublicatione8577257-c64c-4481-9b2b-940fedb360cc
relation.isAuthorOfPublication.latestForDiscovery183b936b-4a1d-4c80-9405-17491abb3d64
relation.isProjectOfPublication2e866b8b-53df-4729-b132-92adf509db2c
relation.isProjectOfPublication.latestForDiscovery2e866b8b-53df-4729-b132-92adf509db2c

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