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Optimization of culture conditions by response surface methodology and unstructured kinetic modeling for bioactive metabolite production by Nocardiopsis litoralis VSM-8

机译:通过响应面分析法和非结构动力学模型优化培养条件用于斜纹夜蛾生产生物活性代谢产物VSM-8

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摘要

Response surface methodology-based central composite design on five variables incubation time, pH, temperature, sucrose concentration, and soya peptone concentration was employed for optimization of the production of bioactive compounds by Nocardiopsis litoralis strain VSM 8. The main quadratic effects and interactions of the five variables on the production of bioactive metabolites were investigated. A second-order polynomial model produced a satisfied fit for experimental data with regard to the production of the bioactive metabolites. Regression analysis showed that high R 2 values of all the five responses are significant and adjusted R 2 values showed good agreement with the experimental and predicted values. The present model was used to evaluate the direct interaction and quadratic effects to optimize the physico-chemical parameters for the production of bioactive metabolites that inhibit the pathogenic microorganisms measured in terms of zones of inhibition (responses). Mathematical kinetic model development and estimation of kinetic parameters also showed good approximation in terms of model fitting and regression analysis.
机译:基于响应面方法的中心复合材料设计,对五个变量的孵育时间,pH,温度,蔗糖浓度和大豆蛋白ept浓度进行了优化,从而优化了Nocardiopsis litoralis菌株VSM 8的生物活性化合物的生产。研究了生物活性代谢物产生的五个变量。二阶多项式模型针对生物活性代谢物的产生对实验数据给出了满意的拟合。回归分析表明,所有五个响应的R 2 值均较高,调整后的R 2 值与实验值和预测值吻合良好。本模型用于评估直接相互作用和二次效应,以优化用于抑制病原微生物的生物活性代谢物的理化参数(以抑制区(响应)衡量)。数学动力学模型的开发和动力学参数的估计在模型拟合和回归分析方面也显示出良好的近似性。

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