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Rational Optimization of Culture Conditions for the Most Efficient Ethanol Production in Scheffersomyces stipitis Using Design of Experiments

机译:实验设计合理优化最有效产乙醇的酿酒酵母的培养条件

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摘要

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.
机译:由于涉及多个变量,为实现最有效的乙醇发酵而优化培养参数具有挑战性。在这里,我们通过设计实验DoE方法提出了一种合理的多变量优化方法。研究了影响酒裂链球菌乙醇发酵的三个关键参数,pH,温度和搅拌速度。预测模型表明搅拌速度显着影响乙醇的合成。降低pH值和温度也改善了乙醇的生产。该模型确定了最有效乙醇生产​​的最佳培养条件,产量和生产率分别为0.46 g / g·和0.28 g / l·h,这与实验观察一致。结果还表明该模型从摇瓶到生物反应器的可扩展性。因此,DoE是一种有前途的工具,它可以快速建立培养条件,以用于S. stipitis的最有效的乙醇发酵。该方法对于减少木质纤维素乙醇工业中的工艺开发时间可能是有用的。

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