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Technical University of Munich

Automated optimization of microbial protein expression by combining parallel reactor systems in the digitized bioprocess laboratory

Nikolas von den Eichen, Doctoral Thesis Technische Universität München, 2023

The time-efficient optimization of microbial protein expressions was achieved by coupling and digitization of automated parallel reactor systems on the L and mL scale with automated transfer of cell suspensions. For example, enzyme activities in the recombinant production of a carboxylreductase with E. coli in stirred-tank bioreactors could be increased automatically by a factor of 40, with the test period being able to be reduced by a factor of up to 50.

Publications

  • Benner P, Lüdtke FJ, Beyer N, von den Eichen N, Oropeza Vargas JE, Weuster-Botz D (2023): LED illumination modules enable automated photoautotrophic cultivation of microalgae in parallel milliliter-scale stirred-tank bioreactors. Appl Sci 13: 5064.
  • Bromig L, von den Eichen N, Weuster-Botz D (2022): Control of parallized bioreactors I: dynamic scheduling software for efficient bioprocess management in high-throughput systems, Bioproc Biosys Eng 45: 1927-1937.
  • Von den Eichen N, Osthege M, Dölle M, Bromig L, Wiechert W, Oldiges M, Weuster-Botz D (2022): Control of parallized bioreactors II: probabilistic quantification of carboyxlic acid reductase activity for bioprocess optimization, Bioproc Biosys Eng 45: 1939-1954.
  • Bromig L, Leiter D, Mardale A-V, von den Eichen N, Bieringer E, Weuster-Botz D (2022): The SiLA 2 manager for rapid device integration and workflow automation. SoftwareX 17: 100991.
  • Von den Eichen N, Bromig L, Sidarava V, Marienberg H, Weuster-Botz D (2021): Automated multi-scale cascade of parallel stirred-tank bioreactors for fast protein expression studies. J Biotechnol 332: 103-113.
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