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Updated: Dec 8, 2025

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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A model-driven approach towards rational microbial bioprocess optimization.

Jing Wui Yeoh1,2, Sudhaghar S/O Jayaraman1,2, Sean Guo-Dong Tan1

  • 1Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.

Biotechnology and Bioengineering
|September 18, 2020
PubMed
Summary
This summary is machine-generated.

This study developed a model-driven approach to optimize microbial bioproduction, achieving a 94% yield for ferulic acid to vanillin conversion using engineered Escherichia coli.

Keywords:
bioproductionbioreactorcell kinetic modelcomputational fluid dynamicsvanillin

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Area of Science:

  • Biotechnology
  • Bioprocess Engineering
  • Synthetic Biology

Background:

  • Microbial cell factories are crucial for sustainable bio-based production.
  • Non-uniform extracellular environments in bioprocesses hinder biomass growth and product yield.
  • Optimizing bioprocesses requires integrating experimental data with predictive modeling.

Purpose of the Study:

  • To develop a model-driven strategy for rational bioprocess optimization.
  • To investigate the effects of mass transfer and aeration on microbial performance.
  • To achieve high yields in bio-based chemical synthesis using engineered microbes.

Main Methods:

  • Integrated experimental and modeling approach from flask to bioreactor scale.
  • Minimal small-scale experiments to assess mass transfer and aeration impacts.
  • Developed a coupled model of cell factory kinetics and bioreactor computational hydrodynamics.
  • Utilized full-factorial predictions to identify optimal operating conditions.

Main Results:

  • Successfully applied the model-driven approach to ferulic acid to vanillin bioconversion.
  • Quantified the influence of mass transfer and aeration on biomass and production.
  • Captured spatiotemporal distributions of bioproduction within the bioreactor.
  • Achieved a 94% bioconversion yield, a high value for recombinant Escherichia coli.

Conclusions:

  • The model-driven approach enables rational optimization of microbial bioproduction.
  • Understanding and controlling extracellular conditions are key to enhancing bioprocesses.
  • This strategy significantly improves bioconversion efficiency for valuable chemical synthesis.