Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8815
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dc.contributor.authorHo, Phuong-
dc.contributor.authorWesterwalbesloh, Christoph-
dc.contributor.authorKaganovitch, Eugen-
dc.contributor.authorGrünberger, Alexander-
dc.contributor.authorNeubauer, Peter-
dc.contributor.authorKohlheyer, Dietrich-
dc.contributor.authorLieres, Eric von-
dc.date.accessioned2019-08-12T19:50:07Z-
dc.date.available2019-08-12T19:50:07Z-
dc.date.issued2019-04-19-
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/9782-
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8815-
dc.description.abstractMicrobial cells in industrial large-scale bioreactors are exposed to fluctuating conditions, e.g., nutrient concentration, dissolved oxygen, temperature, and pH. These inhomogeneities can influence the cell physiology and metabolism, e.g., decelerate cell growth and product formation. Microfluidic systems offer new opportunities to study such effects in great detail by examining responses to varying environmental conditions at single-cell level. However, the possibility to reproduce large-scale bioreactor conditions in microscale cultivation systems has not yet been systematically investigated. Hence, we apply computational fluid dynamics (CFD) simulations to analyze and compare three commonly used microfluidic single-cell trapping and cultivation devices that are based on (i) mother machines (MM), (ii) monolayer growth chambers (MGC), and (iii) negative dielectrophoresis (nDEP). Several representative time-variant nutrient concentration profiles are applied at the chip entry. Responses to these input signals within the studied microfluidic devices are comparatively evaluated at the positions of the cultivated cells. The results are comprehensively presented in a Bode diagram that illustrates the degree of signal damping depending on the frequency of change in the inlet concentration. As a key finding, the MM can accurately reproduce signal changes that occur within 1 s or slower, which are typical for the environmental conditions observed by single cells in large-scale bioreactors, while faster changes are levelled out. In contrast, the nDEP and MGC are found to level out signal changes occurring within 10 s or faster, which can be critical for the proposed application.en
dc.description.sponsorshipBMBF, 031A302C, e:Bio - Modul II - Verbundprojekt: 0,6Plus - Verbesserung grundlegender Wachstumseigenschaften von C. glutamicum zur Verbreiterung der industriellen Anwendbarkeit - Teilprojekt Cen
dc.description.sponsorshipBMBF, 031A095A, Biotechnologie2020+ Strukturvorhaben: Helmholtz Research Network - Molecular Interaction Engineering; Teilprojekt des FZJen
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc600 Technik, Technologiede
dc.subject.ddc570 Biowissenschaften; Biologiede
dc.subject.othermicrofluidicsen
dc.subject.othersingle-cell analysisen
dc.subject.othermodellingen
dc.subject.othersimulationen
dc.subject.othercomputational fluid dynamicsen
dc.subject.otherfrequency responseen
dc.subject.otherlife lineen
dc.subject.othermonolayer growth chamberen
dc.subject.othermother machineen
dc.subject.othernegative dielectrophoresisen
dc.titleReproduction of Large-Scale Bioreactor Conditions on Microfluidic Chipsen
dc.typeArticleen
dc.date.updated2019-08-10T11:43:05Z-
tub.accessrights.dnbfreeen
tub.publisher.universityorinstitutionTechnische Universität Berlinen
dc.identifier.eissn2076-2607-
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.3390/microorganisms7040105en
dcterms.bibliographicCitation.journaltitleMicroorganismsen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume7en
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.issue4en
dcterms.bibliographicCitation.articlenumber105en
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