Managamuri Ushakiranmayi, Vijayalakshmi Muvva, Poda Sudhakar, Ganduri V S Rama Krishna, Babu R Satish
Department of Botany and Microbiology, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, 52510, Andhra Pradesh, India.
Department of Biotechnology, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, 52510, Andhra Pradesh, India.
3 Biotech. 2016 Dec;6(2):219. doi: 10.1007/s13205-016-0535-2. Epub 2016 Oct 8.
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 values of all the five responses are significant and adjusted R 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.
采用基于响应面法的中心复合设计，对五个变量（培养时间、pH值、温度、蔗糖浓度和大豆蛋白胨浓度）进行优化，以提高滨海诺卡氏菌菌株VSM 8生物活性化合物的产量。研究了这五个变量对生物活性代谢产物产量的主要二次效应和相互作用。二阶多项式模型对生物活性代谢产物的产量实验数据拟合良好。回归分析表明，所有五个响应的高R值均具有显著性，调整后的R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，以优化抑制致病微生物的生物活性代谢产物生产的物理化学参数（以抑菌圈大小（响应）衡量）。数学动力学模型的建立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。
