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Enhancing nitrilase production from Fusarium proliferatum using response surface methodology

机译:使用响应面方法提高枯萎镰刀菌的腈水解酶生产

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摘要

The individual and interactive effects of three independent variables i.e. carbon source (glucose), nitrogen source (sodium nitrate) and inducer (ϵ-caprolactam) on nitrilase production from Fusarium proliferatum were investigated using design of experiments (DOE) methodology. Response surface methodology (RSM) was followed to generate the process model and to obtain the optimal conditions for maximum nitrilase production. Based on central composite design (CCD) a quadratic model was found to fit the experimental data (p<0.0001) and maximum activity of 59.0U/g biomass was predicted at glucose concentration (53.22 g/l), sodium nitrate (2.31 g/l) and ϵ-caprolactam (3.58 g/l). Validation experiments were carried out under the optimized conditions for verification of the model. The nitrilase activity of 58.3U/g biomass obtained experimentally correlated to the predicted activity which proves the authenticity of the model. Overall 2.24 fold increase in nitrilase activity was achieved as compared to the activity before optimization (26U/g biomass).
机译:使用实验设计(DOE)方法研究了碳源(葡萄糖),氮源(硝酸钠)和诱导剂(ε-己内酰胺)这三个独立变量对镰孢镰刀菌产生腈水解酶的影响。遵循响应面方法(RSM)生成过程模型并获得最大腈水解酶产量的最佳条件。根据中央复合设计(CCD),发现二次模型适合实验数据(p <0.0001),在葡萄糖浓度(53.22 g / l),硝酸钠(2.31 g / l)下预测最大生物活性为59.0U / g l)和ε-己内酰胺(3.58 g / l)。在优化条件下进行了验证实验,以验证模型。实验获得的58.3U / g生物质的腈水解酶活性与预测的活性相关,证明了该模型的真实性。与优化前的活性(26U / g生物量)相比,腈水解酶活性总体提高了2.24倍。

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