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Related Experiment Video

Updated: Jul 4, 2026

Design of Solid-State Fermentation Systems for Polymer Hydrolytic Extracellular Enzyme Production by Filamentous Fungi

Design of Solid-State Fermentation Systems for Polymer Hydrolytic Extracellular Enzyme Production by Filamentous Fungi

Published on: June 6, 2025

Design of fluidized-bed fermentors.

G F Andrews¹, J Przezdziecki

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

Biotechnology and Bioengineering

|June 1, 1986

Summary

Choosing the right support particle is crucial for effective fluidized-bed bioreactor design. This study provides a mathematical framework to optimize particle selection for maximum reactor productivity, considering diffusion and inhibitory products.

Area of Science:

Biochemical Engineering
Chemical Reaction Engineering
Bioprocess Design

Background:

Fluidized-bed bioreactors (FBRs) are widely used in bioprocessing.
Selecting appropriate support particles is critical for optimizing FBR performance and productivity.
Existing methods lack a unified approach to account for various support types and multiple reaction components.

Purpose of the Study:

To develop a mathematical framework for selecting optimal support particles in FBRs.
To derive effectiveness factors for different support types (flocs, solid, porous, adsorbent).
To identify the limiting component in multi-component substrate/product systems within supports.

Main Methods:

Derivation of effectiveness factors based on diffusion and uptake kinetics.

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Last Updated: Jul 4, 2026

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Operation of a Benchtop Bioreactor

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Mathematical reduction of multi-component diffusion/uptake equations to a single limiting equation.

Analysis of film thickness optimization for solid supports.

Consideration of particle density, film growth, and bed stratification.

Main Results:

Effectiveness factors were derived for flocs, solid spherical, porous, and adsorbent supports.
A mathematical procedure was established to simplify complex diffusion/uptake equations.
An optimal film thickness for solid supports was identified to maximize effectiveness.
The impact of particle properties and bed dynamics on FBR performance was analyzed.

Conclusions:

The derived framework aids in selecting optimal support particles for enhanced FBR volumetric productivity.
Understanding film dynamics and bed stratification is essential for efficient bioreactor design.
The method provides a systematic approach to manage mass transfer limitations and biomass retention in FBRs.