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Optimization of Medium Composition for the Production of Neomycin by Streptomyces fradiae NCIM 2418 in Solid State Fermentation

机译:固态发酵产链霉菌NCIM 2418生产新霉素的培养基组成的优化

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摘要

Neomycin production of Streptomyces fradiae NCIM 2418 was optimized by using response surface methodology (RSM), which is powerful mathematical approach comprehensively applied in the optimization of solid state fermentation processes. In the first step of optimization, with Placket-Burman design, ammonium chloride, sodium nitrate, L-histidine, and ammonium nitrate were established to be the crucial nutritional factors affecting neomycin production significantly. In the second step, a 24 full factorial central composite design and RSM were applied to determine the optimal concentration of significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the important nutrients for the maximum were obtained as follows: ammonium chloride 2.00%, sodium nitrate 1.50%, L-histidine 0.250%, and ammonium nitrate 0.250% with a predicted value of maximum neomycin production of 20,000 g kg−1 dry coconut oil cake. Under the optimal condition, the practical neomycin production was 19,642 g kg−1 dry coconut oil cake. The determination coefficient (R 2) was 0.9232, which ensures an acceptable admissibility of the model.
机译:通过使用响应面分析法(RSM)优化了菊苣链霉菌NCIM 2418的新霉素生产,这是一种广泛应用于固态发酵工艺优化的强大数学方法。在优化的第一步中,采用Placket-Burman设计,将氯化铵,硝酸钠,L-组氨酸和硝酸铵确定为显着影响新霉素生产的关键营养因子。第二步,采用2 4 全因子中心复合设计和RSM来确定有效变量的最佳浓度。通过对实验数据进行多元回归分析确定了二阶多项式。获得最大养分的最佳最佳值如下:氯化铵2.00%,硝酸钠1.50%,L-组氨酸0.250%和硝酸铵0.250%,新霉素的最大产量预测值为20,000 g kg −1 干椰子油蛋糕。在最佳条件下,新霉素的实际产量为19642 g kg -1 干椰子油饼。确定系数(R 2 )为0.9232,确保了模型的可接受性。

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