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Bioreactor Controls-II01:18

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In aerobic fermentations, oxygen is vital for microbial growth and metabolite production. Since air comprises only about 20% oxygen and the gas is poorly soluble in water—just 9 ppm at 20°C—supplying sufficient oxygen becomes a critical challenge, especially in high-demand processes like yeast growth or citric acid production. Even a fully saturated broth may offer only a few seconds of oxygen availability.To address this, sterile or scrubbed air is introduced into the fermentor via a sparger...
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A Novel Bioreactor for High Density Cultivation of Diverse Microbial Communities
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Fluidized-bed fermenters: A steady-state analysis.

G F Andrews1

  • 1Department of Chemical Engineering, State University of New York at Buffalo, Buffalo, New York 14260.

Biotechnology and Bioengineering
|September 1, 1982
PubMed
Summary

A new mathematical model optimizes fluidized-bed fermenter design by predicting biomass particle size during steady-state operation. This model enhances the design and optimization of both tower fermenters and supported-film bioreactors.

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Area of Science:

  • Biochemical Engineering
  • Mathematical Modeling

Background:

  • Fluidized-bed fermenters are crucial in bioprocessing.
  • Existing models often require biomass particle size as an input, limiting their applicability.

Purpose of the Study:

  • To develop a novel mathematical model for fluidized-bed fermenter design and optimization.
  • To predict biomass particle size as an emergent property of the steady-state process.

Main Methods:

  • Developed a new mathematical model incorporating solids mixing dynamics.
  • Included an axial dispersion term for liquid mixing variations.
  • Utilized a variable transformation to avoid computer-based solutions.

Main Results:

  • The model predicts biomass particle size, eliminating it as a required input.
  • It explains differences between tower and supported-film bioreactors based on biomass effects on settling velocity and stratification.
  • Accurately predicts biomass concentration profiles in different fermenter types.

Conclusions:

  • The presented model offers a more integrated approach to fluidized-bed fermenter design.
  • It simplifies the optimization process by predicting key parameters.
  • Applicable to both tower fermenters and supported-film bioreactors.