Automated Conditional Screening of Multiple Escherichia coli Strains in Parallel Adaptive Fed-Batch Cultivations

dc.contributor.authorHans, Sebastian
dc.contributor.authorHaby, Benjamin
dc.contributor.authorKrausch, Niels
dc.contributor.authorBarz, Tilman
dc.contributor.authorNeubauer, Peter
dc.contributor.authorCruz-Bournazou, Mariano Nicolas
dc.date.accessioned2020-12-28T13:04:15Z
dc.date.available2020-12-28T13:04:15Z
dc.date.issued2020-11-11
dc.date.updated2020-12-18T14:02:23Z
dc.description.abstractIn bioprocess development, the host and the genetic construct for a new biomanufacturing process are selected in the early developmental stages. This decision, made at the screening scale with very limited information about the performance in larger reactors, has a major influence on the efficiency of the final process. To overcome this, scale-down approaches during screenings that show the real cell factory performance at industrial-like conditions are essential. We present a fully automated robotic facility with 24 parallel mini-bioreactors that is operated by a model-based adaptive input design framework for the characterization of clone libraries under scale-down conditions. The cultivation operation strategies are computed and continuously refined based on a macro-kinetic growth model that is continuously re-fitted to the available experimental data. The added value of the approach is demonstrated with 24 parallel fed-batch cultivations in a mini-bioreactor system with eight different Escherichia coli strains in triplicate. The 24 fed-batch cultivations were run under the desired conditions, generating sufficient information to define the fastest-growing strain in an environment with oscillating glucose concentrations similar to industrial-scale bioreactors.en
dc.description.sponsorshipBMBF, 031L0018A, ERASysAPP2 - Verbundprojekt: LEANPROT - Entwicklung einer Systembiologie-Plattform für die Entwicklung von lean-proteome-Escherichia coli-Stämmen - Deutsches Teilprojekt Aen
dc.description.sponsorshipTU Berlin, Open-Access-Mittel – 2020en
dc.identifier.eissn2306-5354
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/12257
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-11133
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-12144en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc570 Biowissenschaften; Biologiede
dc.subject.otherhigh-throughput screeningen
dc.subject.otherrapid phenotypingen
dc.subject.othermodel-based experimental designen
dc.subject.otherEscherichia colien
dc.subject.otherautomated bioprocess developmenten
dc.titleAutomated Conditional Screening of Multiple Escherichia coli Strains in Parallel Adaptive Fed-Batch Cultivationsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber145en
dcterms.bibliographicCitation.doi10.3390/bioengineering7040145en
dcterms.bibliographicCitation.issue4en
dcterms.bibliographicCitation.journaltitleBioengineeringen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume7en
tub.accessrights.dnbfreeen
tub.affiliationFak. 3 Prozesswissenschaften>Inst. Biotechnologie>FG Bioverfahrenstechnikde
tub.affiliation.facultyFak. 3 Prozesswissenschaftende
tub.affiliation.groupFG Bioverfahrenstechnikde
tub.affiliation.instituteInst. Biotechnologiede
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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