Kumar Mukesh, Rana Shiny, Beniwal Vikas, Salar Raj Kumar
Department of Biotechnology, Ambala College of Engineering and Applied Research, Devsthali-133101, Ambala, Haryana, India.
Department of Biotechnology, Chaudhary Devi Lal University, Sirsa-125055, Haryana, India.
Biotechnol Rep (Amst). 2015 Jun 26;7:128-134. doi: 10.1016/j.btre.2015.06.002. eCollection 2015 Sep.
A novel tannase producing bacterial strain was isolated from rhizospheric soil of species and identified as KP715242. A 3.25-fold increase in tannase production was achieved upon optimization with central composite design using response surface methodology. Four variables namely pH, temperature, incubation period, and agitation speed were used to optimize significant correlation between the effects of these variables on tannase production. A second-order polynomial was fitted to data and validated by ANOVA. The results showed a complex relationship between variables and response given that all factors were significant and could explain 99.6% of the total variation. The maximum production was obtained at 5.2 pH, 34.97 °C temperature, 103.34 rpm agitation speed and 91.34 h of incubation time. The experimental values were in good agreement with the predicted ones and the models were highly significant with a correlation coefficient () of 0.99 and a highly significant F-value of 319.37.
从某物种的根际土壤中分离出一株新型产单宁酶细菌菌株，鉴定为KP715242。采用响应面法的中心复合设计进行优化后，单宁酶产量提高了3.25倍。使用pH值、温度、培养时间和搅拌速度这四个变量来优化这些变量对单宁酶产量影响之间的显著相关性。对数据拟合二阶多项式并通过方差分析进行验证。结果表明，变量与响应之间存在复杂关系，因为所有因素均具有显著性，可解释总变异的99.6%。在pH值5.2、温度34.97℃、搅拌速度103.34 rpm和培养时间91.34 h时获得最大产量。实验值与预测值吻合良好，模型具有高度显著性，相关系数（）为0.99，F值为319.37，高度显著。
