(378a) Cofermentation of Mixed Sugars to Bioethanol with Single and Multiple Yeast Strains: Model Development

Geng, J., Purdue University
Song, H., Purdue University
Ramkrishna, D., Purdue University
Yuan, J., Shanghai Jiao Tong University

Bioethanol is an energy resource with a promising future for its superiority in high flammability, lesser pollution, and reduced greenhouse gas emissions. In this work, we initiate modeling to investigate the production efficiency of bioethanol with single and multiple yeast strains from mixed sugars. Our approach is based on hybrid cybernetic model (HCM) (Kim et al., 2008; Song and Ramkrishna, 2009; Song et al., 2009) which combines the cybernetic regulatory mechanisms with elementary mode (EM) analysis based on quasi-steady-state approximation on intracellular metabolites, viewing uptake flux to be distributed in a regulated way among different EMs. With this feature, HCM provides a suitable framework for simulating the fermentation of mixed sugars which can be consumed sequentially or simultaneously. As case studies, HCM is applied to cofermentation of glucose, xylose, mannose and galactose using three different individual yeast strains, respectively, i.e., Saccharomyces cerevisiae, Pichia stipitis and Kluyveromyces marxianus, showing satisfactory fits to experimental data. The model is now being extended to coculture of mixed strains which are often considered to create a synergistic effect in producing bioethanol. It is expected that the developed model will be a valuable tool for optimizing the fermentation process towards maximizing bioethanol productivity.


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