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Methodologies for Studying B. subtilis Biofilms as a Model for Characterizing Small Molecule Biofilm Inhibitors

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Published on: October 9, 2016

Sequential substrate utilization and effectiveness factor in fixed biofilms.

R L Droste¹, K J Kennedy

¹Department of Civil Engineering, University of Ottawa, Ottawa, Ontario, Canada, K1N 6N5.

Biotechnology and Bioengineering

|November 1, 1986

Summary

This summary is machine-generated.

A mathematical model explains how intermediate substrates affect sequential reactions in fixed biofilms. This model reveals that intermediate substrate production can significantly enhance primary substrate conversion to the final product.

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Methods for Characterizing the Co-development of Biofilm and Habitat Heterogeneity

Methods for Characterizing the Co-development of Biofilm and Habitat Heterogeneity

Published on: March 11, 2015

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Last Updated: Jul 4, 2026

Methodologies for Studying B. subtilis Biofilms as a Model for Characterizing Small Molecule Biofilm Inhibitors

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Published on: October 9, 2016

Methods for Characterizing the Co-development of Biofilm and Habitat Heterogeneity

Methods for Characterizing the Co-development of Biofilm and Habitat Heterogeneity

Published on: March 11, 2015

Area of Science:

Biochemical Engineering
Environmental Microbiology
Mathematical Modeling

Background:

Sequential substrate removal reactions are crucial in fixed biofilm systems.
Understanding substrate dynamics within biofilms is essential for optimizing bioreactor performance.
Previous models often simplified or omitted the role of intermediate substrates.

Purpose of the Study:

To develop a mathematical model for the effectiveness factor and effective diffusivity of intermediate substrates in sequential reactions within fixed biofilms.
To analyze the impact of intermediate substrate production on overall substrate conversion efficiency.
To assess the significance of these effects using data from anaerobic fermentation studies.

Main Methods:

Development of a novel mathematical model for fixed biofilm systems.
Numerical solution of the derived differential equation.
Application of typical laboratory anaerobic fermentation data for validation.

Main Results:

The model quantifies changes in effectiveness factor and effective diffusivity for intermediate substrates.
Intermediate substrate production was found to increase primary substrate conversion in all simulated cases.
The significance of this increase varied, highlighting the importance of specific reaction kinetics.

Conclusions:

The developed mathematical model provides a more nuanced understanding of substrate dynamics in sequential biofilm reactions.
Intermediate substrate production plays a role in enhancing overall conversion, though its significance is context-dependent.
The study demonstrates measurable changes in reaction kinetics and effectiveness factors due to intermediate substrates in anaerobic fermentation.