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首页> 外文期刊>Applied biochemistry and biotechnology, Part A. enzyme engineering and biotechnology >Optimization of critical medium components for the maximal production of gentamicin by Micromonospora echinospora ATCC 15838 using response surface methodology
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Optimization of critical medium components for the maximal production of gentamicin by Micromonospora echinospora ATCC 15838 using response surface methodology

机译:使用响应面法优化微单孢菌棘孢菌ATCC 15838最大限度地生产庆大霉素的关键培养基成分

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Optimization of the fermentation medium components for maximum gentamicin production by Micromonospora echinospora ATCC 15838 was carried out. Response surface methodology was applied to optimize the medium constituents. A 2 4 full-factorial central composite design was chosen to explain the combined effects of the four medium constituents, viz. starch, soyabean meal, K2HPO4, and CoCl 2 and to design a minimum number of experiments. A second order model was developed and fitted using least square method. The R 2 value of the model was 0.9723, which shows that model is best fit for the present studies. The results of analysis of variance and regression of a second order model showed that the linear effects of starch (p < 0.001697) and CoCl2 (P < 7.99E-13), and cross product effects of starch and soyabean meal (p < 0.029876) and soyabean meal and CoCl2 (P < 0.008909) were more significant, suggesting that these were critical variables having the greatest effect on the production of gentamicin in the production medium. The optimized medium consisting of 9 g/L starch, 3 g/L soyabean meal, 0.9 g/L K 2 HPO4, and 0.01 g/L CoCl2 predicted 850 mg/L of gentamicin which was almost 110% higher than that of the unoptimized medium. The amounts of starch, soyabean meal, and K2HPO4 required were also reduced with RSM.
机译:通过细单孢菌ATCC 15838对发酵培养基成分进行了优化,以最大程度地生产庆大霉素。应用响应面方法优化培养基成分。选择了2 4全因子中央复合设计来解释四种介质成分的组合作用,即。淀粉,大豆粉,K2HPO4和CoCl 2并设计最少数量的实验。使用最小二乘法开发并拟合了二阶模型。该模型的R 2值为0.9723,表明该模型最适合本研究。二阶模型的方差和回归分析结果表明,淀粉(p <0.001697)和CoCl2(P <7.99E-13)的线性效应,以及淀粉和豆粕的叉积效应(p <0.029876)大豆粉和CoCl2的含量更显着(P <0.008909),表明这些是对生产培养基中庆大霉素产生影响最大的关键变量。由9 g / L淀粉,3 g / L大豆粉,0.9 g / LK 2 HPO4和0.01 g / L CoCl2组成的优化培养基预测为庆大霉素850 mg / L,比未优化培养基高出110% 。 RSM还减少了所需的淀粉,大豆粉和K2HPO4的量。

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