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Rational optimization of culture conditions for the most efficient ethanol production in Scheffersomyces stipitis using design of experiments

Authors

  • Pornkamol Unrean,

    Corresponding author
    1. Biochemical Engineering and Pilot Plant Research and Development Unit, King Mongkut's University of Technology Thonburi, 49 Soi Tientalay 25, Thakhum, Bangkhuntien, Bangkok 10150, Thailand
    2. National Center for Genetic Engineering and Biotechnology (BIOTEC), 113 Thailand Science Park, Klong 1, Klong Luang, Pathumthani 12120, Thailand
    • Biochemical Engineering and Pilot Plant Research and Development Unit, King Mongkut's University of Technology Thonburi, 49 Soi Tientalay 25, Thakhum, Bangkhuntien, Bangkok 10150, Thailand
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  • Nhung H. A. Nguyen

    1. King Mongkut's University of Technology Thonburi, 49 Soi Tientalay 25, Bangkhuntien-Chaytalay Rd., Thakhum, Bangkhuntien, Bangkok 10150, Thailand
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Abstract

Optimization of culture parameters for achieving the most efficient ethanol fermentation is challenging due to multiple variables involved. Here we presented a rationalized methodology for multi-variables optimization through the design of experiments DoE approach. Three critical parameters, pH, temperature, and agitation speed, affecting ethanol fermentation in S. stipitis was investigated. A predictive model showed that agitation speed significantly affected ethanol synthesis. Reducing pH and temperature also improved ethanol production. The model identified the optimum culture conditions for the most efficient ethanol production with the yield and productivity of 0.46 g/g and 0.28 g/l h, respectively, which is consistent with experimental observation. The results also indicated the scalability of the model from shake flask to bioreactor. Thus, DoE is a promising tool permitting the rapid establishment of culture conditions for the most efficient ethanol fermentation in S. stipitis. The approach could be useful to reduce process development time in lignocellulosic ethanol industry. © 2012 American Institute of Chemical Engineers Biotechnol. Prog., 2012

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