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Modeling bisubstrate removal by biofilms.

E Namkung1, B E Rittmann

  • 1Environmental Engineering Program, Department of Civil Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.

Biotechnology and Bioengineering
|February 1, 1987
PubMed
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A bisubstrate secondary utilization model shows that sufficient total substrate is essential for biofilm growth. Co-utilization enhances removal rates, potentially lowering minimum concentrations needed for simultaneous substrate breakdown.

Area of Science:

  • Environmental microbiology
  • Biotechnology
  • Biochemical engineering

Background:

  • Secondary utilization describes how one substrate supports the utilization of another.
  • Biofilm growth initiation depends on substrate availability, especially at low concentrations.
  • Understanding bisubstrate interactions is crucial for optimizing bioremediation and industrial processes.

Purpose of the Study:

  • To model bisubstrate secondary utilization and biofilm growth dynamics.
  • To determine the necessary conditions for simultaneous bisubstrate utilization.
  • To investigate the impact of co-utilization on substrate removal rates.

Main Methods:

  • Development of a bisubstrate secondary utilization model.
  • Simulation of three characteristic cases with varying substrate concentrations.

Related Experiment Videos

  • Analysis of biofilm initiation and substrate utilization kinetics.

    • Main Results:

    • A total minimum substrate concentration (S(min)) is required to initiate biofilm growth and simultaneous utilization of both substrates.
    • The presence of multiple substrates enhances the removal rate of individual compounds.
    • The total S(min) for bisubstrate systems can be lower than the weighted average of individual S(min) values.

    Conclusions:

    • Bisubstrate systems require a specific total substrate threshold for effective biofilm development and dual substrate processing.
    • Co-utilization positively influences the efficiency of pollutant removal in microbial systems.
    • The model provides insights into optimizing conditions for microbial consortia involved in substrate degradation.