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Related Experiment Video

Updated: Jul 4, 2026

Methanol Independent Expression by Pichia Pastoris Employing De-repression Technologies

Methanol Independent Expression by Pichia Pastoris Employing De-repression Technologies

Published on: January 23, 2019

Methanol bioconversion by Butyribacterium methylotrophicum--batch fermentation yield and kinetics.

R Datta¹, J Ogeltree

¹Exxon Research and Engineering Company, Linden, New Jersey 07036, USA.

Biotechnology and Bioengineering

|April 1, 1983

Summary

Butyribacterium methylotrophicum, an anaerobic bacterium, efficiently converts methanol into butyrate, a valuable compound. Fermentation conditions significantly impact product yield, achieving up to 85% of the theoretical butyrate yield.

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Area of Science:

Microbiology
Biotechnology
Biochemistry

Background:

Butyribacterium methylotrophicum is an anaerobic bacterium capable of utilizing C(1) substrates.
The conversion of methanol to butyrate by this bacterium has potential commercial applications.
Optimizing fermentation conditions is crucial for maximizing product yield.

Purpose of the Study:

To investigate the fermentation kinetics of Butyribacterium methylotrophicum.
To determine the optimal methanol/bicarbonate ratios for butyrate production.
To evaluate the potential of this bacterium for industrial-scale bioprocessing.

Main Methods:

Batch fermentation experiments were conducted.
Methanol and bicarbonate concentrations were varied to study their effects.
Product formation and fermentation rates were monitored.
The Luedeking-Piret model was used to describe fermentation kinetics.

Main Results:

Fermentation rates and product formation were dependent on methanol/bicarbonate ratios.
The Luedeking-Piret model accurately described the batch fermentation kinetics.
A butyrate yield of 0.256 mol/mol methanol was achieved, representing approximately 85% of the theoretical yield.

Conclusions:

Butyribacterium methylotrophicum is a promising microorganism for the production of butyrate from methanol.
Fermentation conditions, particularly methanol/bicarbonate ratios, significantly influence process efficiency.
The Luedeking-Piret model provides a useful framework for understanding and optimizing the fermentation process.