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Creating Rapid Oxygen Oscillations in Microbial Single-cell Growth Analysis using a Microfluidic Double-layer Device
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Feed rate control in fed-batch fermentations based on frequency content analysis.

Ola Johnsson1, Jonas Andersson, Gunnar Lidén

  • 1Dept. of Automatic Control, Faculty of Engineering LTH, Lund University, Sweden. ola.johnsson@control.lth.se

Biotechnology Progress
|April 23, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel substrate feeding strategy for fed-batch fermentation, using dissolved oxygen signals to prevent overflow metabolism. This method enhances biomass yield and growth rates in microbial production processes.

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Area of Science:

  • Biotechnology
  • Microbial Fermentation
  • Process Control

Background:

  • Controlling substrate feed during the exponential growth phase of fed-batch fermentation is crucial for maximizing microbial growth while preventing overflow metabolism.
  • High substrate feed rates can lead to the accumulation of undesirable overflow metabolites, negatively impacting fermentation efficiency and product yield.
  • Existing control strategies often struggle to balance high growth rates with the avoidance of metabolic byproducts.

Purpose of the Study:

  • To develop and validate a new strategy for controlling substrate feed in aerated fed-batch fermentations.
  • To maximize specific growth rate while minimizing the accumulation of overflow metabolites.
  • To demonstrate the general applicability of the proposed control strategy across different microbial processes.

Main Methods:

  • A novel control strategy involving regular perturbations to the substrate feed rate was implemented.
  • Proximity to overflow metabolism was continuously monitored using the frequency spectrum of the dissolved oxygen signal.
  • The power spectral density of external perturbations served as the control variable for regulating substrate feed.
  • The strategy was tested and verified in pilot-scale fermentation using Bacillus licheniformis strains.

Main Results:

  • The new strategy successfully achieved higher biomass yields without excessive accumulation of overflow metabolites.
  • Implementation in an industrial production process resulted in a higher growth rate compared to the reference controller.
  • Reduced accumulation of overflow metabolites was observed in the exponential growth phase across tested processes.
  • The control strategy proved effective in both amylase-producing and industrial Bacillus licheniformis strains.

Conclusions:

  • The developed substrate feeding control strategy effectively enhances fermentation performance by optimizing growth and minimizing metabolic byproducts.
  • This approach offers a robust method for improving biomass yield and productivity in fed-batch fermentation processes.
  • The strategy's successful application in different Bacillus licheniformis strains highlights its broad applicability in industrial biotechnology.