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Kinetic model for batch cellulase production by Trichoderma reesei RUT c30

S Velkovska1, M R Marten, D F Ollis

  • 1North Carolina State University, Department of Chemical Engineering, Raleigh, NC 27695, USA.

Journal of Biotechnology
|April 25, 1997
PubMed
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This study developed a kinetic model for cellulase enzyme production by Trichoderma reesei. The model accurately predicts enzyme yield by incorporating key biological and chemical factors in the cellulose conversion process.

Area of Science:

  • Biotechnology
  • Biochemical Engineering
  • Enzyme Kinetics

Background:

  • Cellulase enzyme production is crucial for biofuel and biochemical industries.
  • Trichoderma reesei (T. reesei) is a primary microorganism for industrial cellulase production.
  • Existing models often lack comprehensive representation of the complex biological and chemical interactions during cellulose degradation.

Purpose of the Study:

  • To construct a robust kinetic model for batch cellulase production by T. reesei.
  • To integrate key literature concepts and laboratory data into a unified model.
  • To improve the accuracy of predicting cellulase enzyme yield from cellulose substrate.

Main Methods:

  • Development of a kinetic model based on four key concepts: primary/secondary mycelia, cellulase production by secondary mycelia, enzyme-substrate adsorption, and substrate reactivity decline.

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  • Utilizing laboratory batch data including biomass, substrate, and product concentrations over time.
  • Simultaneous evaluation of kinetic parameters using a nonlinear fitting routine.

    • Main Results:

    • The constructed kinetic model effectively fits the experimental laboratory data.
    • The model demonstrates good predictive capability for cellulase enzyme production.
    • Successful validation of the model's components, including mycelial phases and substrate characteristics.

    Conclusions:

    • The developed kinetic model provides a more accurate representation of cellulase production by T. reesei.
    • Incorporating concepts of mycelial differentiation, enzyme-adsorption, and substrate deactivation is essential for accurate modeling.
    • The model serves as a valuable tool for optimizing cellulase production processes in bioreactors.