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Microfluidic cultivation and analysis of productive biofilms

Lemke, Phillip 1; Zoheir, Ahmed E. 1; Rabe, Kersten S. ORCID iD icon 1; Niemeyer, Christof M. ORCID iD icon 1
1 Institut für Biologische Grenzflächen (IBG), Karlsruher Institut für Technologie (KIT)


We here report the application of a machine-based microfluidic biofilm cultivation and analysis platform for studying the performance of biocatalytically active biofilms. By using robotic sampling, we succeeded in spatially resolving the productivity of three microfluidic reactors containing biocatalytically active biofilms that inducibly overexpress recombinant enzymes. Escherichia coli biofilms expressing two stereoselective oxidoreductases, the (R)-selective alcohol dehydrogenase LbADH and the (S)-selective ketoreductase Gre2p, as well as the phenolic acid decarboxylase EsPAD were used. The excellent reproducibility of the cultivation and analysis methods observed for all three systems underlines the usefulness of the new technical platform for the investigation of biofilms. In addition, we demonstrated that the analytical platform also opens up new opportunities to perform in-depth spatially resolved studies on the biomass growth in a reactor channel and its biochemical productivity. Since the platform not only offers the detailed biochemical characterization but also broad capabilities for the morphological study of living biofilms, we believe that our approach can also be performed on many other natural and artificial biofilms to systematically investigate a wide range of process parameters in a highly parallel manner using miniaturized model systems, thus advancing the harnessing of microbial communities for technical purposes.

Verlagsausgabe §
DOI: 10.5445/IR/1000135262
Veröffentlicht am 13.07.2021
DOI: 10.1002/bit.27861
Zitationen: 6
Web of Science
Zitationen: 7
Zitationen: 6
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biologische Grenzflächen (IBG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 0006-3592, 0572-6565
KITopen-ID: 1000135262
HGF-Programm 43.33.11 (POF IV, LK 01) Adaptive and Bioinstructive Materials Systems
Erschienen in Biotechnology and Bioengineering / Symposium
Verlag John Wiley and Sons
Band 118
Heft 10
Seiten 3860-3870
Vorab online veröffentlicht am 16.06.2021
Nachgewiesen in Web of Science
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