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Updated: Sep 3, 2025

Microdialysis of Ethanol During Operant Ethanol Self-administration and Ethanol Determination by Gas Chromatography
Published on: September 5, 2012
Processing Method for the Quantification of Methanol and Ethanol from Bioreactor Samples Using Gas
Jewel Ann Joseph1, Simen Akkermans1, Jan F M Van Impe1
1BioTeC+, Chemical and Biochemical Process Technology and Control, Department of Chemical Engineering, Katholieke Universiteit Leuven, Ghent 9000, Belgium.
A new, affordable method uses salting-out assisted liquid-liquid extraction to accurately measure methanol and ethanol in bioprocesses. This technique aids in controlling fermentation and optimizing protein production.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Bioprocess Engineering
Background:
- Methanol is a key carbon source and inducer in methylotrophic yeast bioprocesses, like Pichia pastoris.
- Uncontrolled methanol levels can harm cell cultures and reduce protein production.
- Existing methanol monitoring methods are often costly and complex.
Purpose of the Study:
- To develop a fast, simple, and sensitive method for quantifying methanol and ethanol in biological samples.
- To provide an affordable alternative for monitoring methanol in fermentation processes.
- To aid in optimizing bioprocesses through effective methanol level control.
Main Methods:
- Salting-out assisted liquid-liquid extraction (SO-LLE) technique was employed.
- Potassium carbonate was used for salting out, and ethyl acetate for extraction.
- Quantification was performed using gas chromatography (GC).
Main Results:
- The developed SO-LLE method demonstrated high recovery rates for methanol and ethanol.
- Validation confirmed good linearity, peak resolution, and limit of detection.
- The method proved effective across different sample matrices.
Conclusions:
- The new SO-LLE method offers a cost-effective and efficient approach for methanol and ethanol quantification.
- This technique facilitates better monitoring and control of methanol in fermentation.
- The study contributes to improved bioprocess optimization and recombinant protein production.
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