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A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments

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Published on: October 2, 2012

An optimal strategy to model microbial growth in a multiple substrate environment.

K V Venkatesh¹, P Doshi, R Rengaswamy

¹Department of Chemical Engineering, Indian Institute of Technology, Bombay, Mumbai, 400076, India; telephone: (091) (22) 578 2545, ext. 7223; fax: 091-22-578-3480.

Biotechnology and Bioengineering

|July 22, 2008

Summary

This study introduces a novel model for microbial growth, using constrained optimization to simulate substrate utilization and cell growth. The model accurately predicts experimental data for Escherichia coli K12 growth on various substrates.

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Area of Science:

Biotechnology
Microbial Physiology
Systems Biology

Background:

Microbial growth is complex, involving sequential and simultaneous substrate utilization.
Understanding cellular regulatory processes is key to modeling diverse growth patterns.

Purpose of the Study:

To develop a comprehensive model for microbial growth based on optimal strategy.
To mimic cellular regulatory processes using constrained optimization to maximize specific cell growth.

Main Methods:

Developed a multi-variable constrained optimization model.
Represented metabolic processes using flux balance equations.
Incorporated cellular controls as constraints in the optimization formulation.

Main Results:

Model accurately predicts experimental data for Escherichia coli K12 growth on glucose and organic acid mixtures (lactate, pyruvate, acetate).
Model predictions align well with published data for E. coli K12 growth on other organic acids (fumarate, alpha-ketoglutarate, succinate).

Conclusions:

The developed model effectively describes varied microbial growth phenomena.
The model provides insights into cellular regulation influencing growth patterns.