Wang Fan-Qiang, Gao Cui-Juan, Yang Chun-Yu, Xu Ping
State Key Laboratory of Microbial Technology, Shandong University, Jinan, People's Republic of China.
Biotechnol Lett. 2007 Feb;29(2):233-6. doi: 10.1007/s10529-006-9220-6. Epub 2006 Nov 8.
Concentrations of Mg(2+), glycine, yeast extract, biotin, acetaldehyde and peptone were optimized by a uniform design process for ethanol production by Saccharomyces cerevisiae. Using non-linear step-wise regression analysis, a predictive mathematical model was established. Concentrations of Mg(2+) and peptone were identified as the critical factors: 50 mM Mg(2+) and 1.5% (w/v) peptone in the medium increased the final ethanol titre from 14.2% (v/v) to 17% (v/v) in 48 h.
通过均匀设计法对酿酒酵母生产乙醇过程中的镁离子(Mg(2+))、甘氨酸、酵母提取物、生物素、乙醛和蛋白胨浓度进行了优化。采用非线性逐步回归分析建立了预测数学模型。确定镁离子(Mg(2+))和蛋白胨浓度为关键因素:培养基中50 mM的镁离子(Mg(2+))和1.5%(w/v)的蛋白胨使48小时内最终乙醇含量从14.2%(v/v)提高到17%(v/v)。