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Rational optimization of culture conditions for the most efficient ethanol production in Scheffersomyces stipitis using design of experiments
Author(s) -
Unrean Pornkamol,
Nguyen Nhung H. A.
Publication year - 2012
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1002/btpr.1595
Subject(s) - fermentation , ethanol , ethanol fuel , bioreactor , chemistry , yield (engineering) , ethanol fermentation , biochemical engineering , pulp and paper industry , microbiology and biotechnology , process engineering , biochemistry , engineering , materials science , organic chemistry , biology , metallurgy
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