Abstract
An integrative simultaneous saccharification and fermentation (SSF) modeling is a useful guiding tool for rapid process optimization to meet the techno-economic requirement of industrial-scale lignocellulosic ethanol production. In this work, we have developed the SSF model composing of a metabolic network of a Saccharomyces cerevisiae cell associated with fermentation kinetics and enzyme hydrolysis model to quantitatively capture dynamic responses of yeast cell growth and fermentation during SSF. By using model-based design of feeding profiles for substrate and yeast cell in the fed-batch SSF process, an efficient ethanol production with high titer of up to 65 g/L and high yield of 85 % of theoretical yield was accomplished. The ethanol titer and productivity was increased by 47 and 41 %, correspondingly, in optimized fed-batch SSF as compared to batch process. The developed integrative SSF model is, therefore, considered as a promising approach for systematic design of economical and sustainable SSF bioprocessing of lignocellulose.
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Acknowledgments
This work has been financially supported by the Thailand Research Fund (Grant No. P-15-51025) and the National Center for Genetic Engineering and Biotechnology, Thailand (Grant No. P-15-50042). The authors would like to thank Miss Rujirek Nopgason and Mr. Nakul Rattanaphan for all the help during pretreatment and SSF experiments.
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Unrean, P., Khajeeram, S. & Laoteng, K. Systematic optimization of fed-batch simultaneous saccharification and fermentation at high-solid loading based on enzymatic hydrolysis and dynamic metabolic modeling of Saccharomyces cerevisiae . Appl Microbiol Biotechnol 100, 2459–2470 (2016). https://doi.org/10.1007/s00253-015-7173-1
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DOI: https://doi.org/10.1007/s00253-015-7173-1