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Techniques for the Evolution of Robust Pentose-fermenting Yeast for Bioconversion of Lignocellulose to Ethanol
Published on: October 24, 2016
Development of t(50) and its application to evaluate very-high-gravity ethanol fermentation
Yen-Han Lin1, Jen-Wei Chang, Kow-Jen Duan
1Department of Chemical Engineering, University of Saskatchewan, Saskatoon, SK, Canada S7H 5A9. yenhan.lin@usask.ca
Journal of Bioscience and Bioengineering
|July 19, 2011
Summary
A modified logistic growth model quantifies yeast fermentation using t(50) (time to 50% glucose conversion or ethanol production). Shorter t(50) indicates faster fermentation, while ethanol profile tailing reveals inhibitory effects.
Area of Science:
- Biotechnology
- Fermentation Science
- Yeast Metabolism
Background:
- Very-high-gravity (VHG) ethanol fermentation presents unique challenges for yeast.
- Monitoring glucose uptake and ethanol production is crucial for optimizing VHG processes.
- Existing models may not adequately capture the dynamics of VHG fermentation.
Purpose of the Study:
- To modify a logistic growth model for monitoring yeast glucose uptake in VHG ethanol fermentation.
- To introduce t(50) as a novel quantifier for differentiating fermentation conditions.
- To assess the utility of t(50) in identifying inhibitory effects and active ingredients in VHG media.
Main Methods:
- Modification of a three-parameter logistic growth model.
- Definition and application of two t(50) parameters: t(50)(g) (50% glucose conversion) and t(50)(e) (50% final ethanol production).
- Implementation of a 2(4) factorial experimental design to test the model's applicability.
Main Results:
- The modified model successfully used t(50) to differentiate fermentation conditions.
- A shorter t(50) correlated with faster fermentation rates.
- Ethanol profile 'tailing' after t(50)(e) served as an indicator of yeast inhibitory effects, with stronger tailing signifying stronger inhibition.
- A bell-shaped glucose/ethanol production rate curve was observed when t(50) approached the fermentation halftime, suggesting evenly distributed inhibition.
Conclusions:
- The modified logistic growth model and the t(50) quantifier are effective tools for analyzing VHG ethanol fermentation.
- t(50) provides valuable insights into fermentation speed and the presence/strength of inhibitory factors.
- The model aids in understanding yeast behavior and optimizing VHG fermentation media composition.
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