期刊
RENEWABLE ENERGY
卷 111, 期 -, 页码 295-306出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2017.04.018
关键词
Microbial oils; Lignocellulosic bioprocess; Dynamic flux balance; Model-based fed-batch optimization; High-titer single cell oil fermentation
资金
- National Center for Genetic Engineering and Biotechnology, Thailand [P-16-50341]
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. (C) 2017 Elsevier Ltd. All rights reserved.
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