From Screening to Production: a Holistic Approach of High-throughput Modelbased Bioprocess Development

Project 4

From Screening to Production: a Holistic Approach of High-throughput Modelbased Bioprocess Development. A significantly more efficient development of bioprocesses can only be achieved through a higher degree of automation and digitalisation.

  1. With the ultimate goal of generating a digital twin that describes the dynamics of the cell system across scales;
  2. informative experiments (often fed-batch high-cell-density cultivations) must be optimally designed on a parallel scale;
  3. these experiments need to be optimally operated with advanced control tools, and combined with comprehensive process analytics, which in turn; 
  4. require automated operation of complex robotic systems running difficult nonlinear dynamic bioreactor processes.

In the KIWI-biolab, we integrate these sub-strategies using process control and optimization, AI and machine learning and demonstrate the advantages on different microbial bioprocesses to produce recombinant proteins.

Technische Universität Berlin, Germany:
  • Peter Neubauer
  • Mariano Nicolas Cruz Bournazou

Documents & links

  • From Screening to Production: A Holistic Approach of High-throughput Model- based Bioprocess Development
    Peter Neubauer, M. Nicolas Cruz Bournazou
    Summary

    A significantly more efficient development of bioprocesses can only be achieved through a higher degree of automation and digitalisation.

    With the ultimate goal of generating a digital twin that describes the dynamics of the cell system across scales: (i) informative experiments (often fed-batch high-cell-density cultivations) must be optimally designed on a parallel scale, (ii) these experiments need to be optimally operated with advanced control tools, and combined with comprehensive process analytics, which in turn (iii) require automated operation of complex robotic systems running difficult nonlinear dynamic bioreactor processes. In the KIWI-biolab, these sub-strategies are integrated using process control and optimization, AI and machine learning. Peter demonstrated the advantages on different microbial bioprocesses to produce recombinant proteins.

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