Vastrad B M, Neelagund S E
Department of Pharmaceutical Biotechnology, S. E. T's College of Pharmacy, Dharwad, Karnataka 580 001, India.
Department of PG Studies and Research in Biochemistry, Jnana Sahayadri Kuvempu University, Shankarghatta, Karnataka 577 451, India.
Biotechnol Res Int. 2014;2014:674286. doi: 10.1155/2014/674286. Epub 2014 Jun 9.
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 2(4) 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.
通过使用响应面法（RSM）对弗氏链霉菌NCIM 2418的新霉素产量进行了优化，响应面法是一种强大的数学方法，广泛应用于固态发酵过程的优化。在优化的第一步中，采用Plackett-Burman设计，确定氯化铵、硝酸钠、L-组氨酸和硝酸铵是对新霉素产量有显著影响的关键营养因素。在第二步中，应用2(4)全因子中心复合设计和响应面法来确定显著变量的最佳浓度。通过对实验数据的多元回归分析确定了二阶多项式。获得了使新霉素产量最大化的重要营养素的最佳值如下：氯化铵2.00%、硝酸钠1.50%、L-组氨酸0.250%和硝酸铵0.250%，预测的新霉素最大产量为20,000 g kg(-1)干椰子油饼。在最佳条件下，实际新霉素产量为19,642 g kg(-1)干椰子油饼。决定系数（R(2)）为0.9232，这确保了该模型具有可接受的可信度。
