Combining metabolic evolution and systematic fed-batch optimization for efficient single-cell oil production from sugarcane bagasse

Pornkamol Unrean, Sutamat Khajeeram and Verawat Champreda

Renewable Energy, 2017, vol. 111, issue C, 295-306

Abstract: We developed in this study an efficient production process of SCO from sugarcane bagasse hydrolysates using Y. lipolytica. We described a dynamic flux balance model strategy based on a genome-scale metabolic model of Y. lipolytica and SCO fermentation kinetics that applied for rational design of optimized fed-batch process with high single cell oil accumulation. Furthermore, metabolic evolution approach with buoyancy screening was implemented for selecting a high lipid producing yeast strain. The efficient conversion process combined model-based fed-batch process design and evolution-based strain optimization enabling high SCO titer of 45 g/L and 0.25 g-SCO/g-glucose yield from hydrolysates, a 6-fold improvement in titer and 1.4-fold improvement in yield over batch wild-type process. Through this combinatorial optimization effort, we demonstrated the cost-effective, lignocellulose-based SCO process that could meet techno-economic feasibility providing a sustainable alternative to vegetative oils for biofuels and oleochemicals synthesis.

Keywords: Microbial oils; Lignocellulosic bioprocess; Dynamic flux balance; Model-based fed-batch optimization; High-titer single cell oil fermentation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:111:y:2017:i:c:p:295-306

DOI: 10.1016/j.renene.2017.04.018

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