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  3. Model-based analysis of biocatalytic processes and performance of microbioreactors with integrated optical sensors

Model-based analysis of biocatalytic processes and performance of microbioreactors with integrated optical sensors

  • N Biotechnol. 2020 May 25;56:27-37. doi: 10.1016/j.nbt.2019.11.001.
Daria Semenova 1,  Ana C Fernandes 2,  Juan M Bolivar 3,  Inês P Rosinha Grundtvig 2,  Barbara Vadot 4,  Silvia Galvanin 2,  Torsten Mayr 5,  Bernd Nidetzky 3,  Alexandr Zubov 6,  Krist V Gernaey 2
Affiliations

Affiliations

  • 1 Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), Søltofts Plads, Building 229, 2800, Kgs. Lyngby, Denmark. Electronic address: dsem@kt.dtu.dk.
  • 2 Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), Søltofts Plads, Building 229, 2800, Kgs. Lyngby, Denmark.
  • 3 Institute of Biotechnology and Biochemical Engineering, Technical University of Graz (TUG), Petersgasse 12/I, 8010, Graz, Austria.
  • 4 Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), Søltofts Plads, Building 229, 2800, Kgs. Lyngby, Denmark; INP - Ecole Nationale des Ingénieurs en Arts Chimiques et Technologiques (INP ENSIACET), Allée Emile Monso 4, 31030, Toulouse, France.
  • 5 Institute of Analytical Chemistry and Food Chemistry, Technical University of Graz (TUG), Stremayrgasse 9/II, 8010, Graz, Austria.
  • 6 Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), Søltofts Plads, Building 229, 2800, Kgs. Lyngby, Denmark; Department of Chemical Engineering, University of Chemistry and Technology Prague (UCT), Technicka 5, 166 28, Prague, Czech Republic.
PMID: 31704414 DOI: 10.1016/j.nbt.2019.11.001
Abstract

Design and development of scale-down approaches, such as microbioreactor (μBR) technologies with integrated sensors, are an adequate solution for rapid, high-throughput and cost-effective screening of valuable reactions and/or production strains, with considerably reduced use of reagents and generation of waste. A significant challenge in the successful and widespread application of μBRs in biotechnology remains the lack of appropriate software and automated data interpretation of μBR experiments. Here, it is demonstrated how mathematical models can be usedas helpful tools, not only to exploit the capabilities of microfluidic platforms, but also to reveal the critical experimental conditions when monitoring cascade enzymatic reactions. A simplified mechanistic model was developed to describe the enzymatic reaction of glucose oxidase and glucose in the presence of catalase inside a commercial microfluidic platform with integrated oxygen sensor spots. The proposed model allowed an easy and rapid identification of the reaction mechanism, kinetics and limiting factors. The effect of fluid flow and Enzyme adsorption inside the microfluidic chip on the optical sensor response and overall monitoring capabilities of the presented platform was evaluated via computational fluid dynamics (CFD) simulations. Remarkably, the model predictions were independently confirmed for μL- and mL- scale experiments. It is expected that the mechanistic models will significantly contribute to the further promotion of μBRs in biocatalysis research and that the overall study will create a framework for screening and evaluation of critical system parameters, including sensor response, operating conditions, experimental and microbioreactor designs.

Keywords

Bioprocess modeling; Computational fluid dynamics; Enzymatic biocatalysis; Mechanistic modeling; Microbioreactor; Oxygen monitoring.

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