Statistical Optimization of Pullulanase Production by Raoultella planticola DSMZ 4617 Using Sago Starch as Carbon and Peptone as Nitrogen Sources
Statistical Optimization of Pullulanase Production by Raoultella planticola DSMZ 4617 Using Sago Starch as Carbon and Peptone as Nitrogen Sources
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DOI：
10.1007/s11947-010-0368-7
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发表时间：
2012-02-01
影响因子：
5.6
通讯作者：
Ariff, Arbakariya B.
中科院分区：
文献类型：
--
作者：
Hii, Ling S.;Rosfarizan, Mohamad;Ariff, Arbakariya B.
采用中心组合设计的响应面法对植物拉乌尔氏菌DSMZ 4617产普鲁兰酶的培养基组分进行了优化。三个独立变量的综合影响，即，采用中心组合设计建立的简化三次模型对西米淀粉和蛋白胨的浓度以及初始培养pH进行了分析，以预测普鲁兰酶的最佳活性。在这些条件下，该模型预测在6.12 g/L西米淀粉、15.34 g/L蛋白胨和初始培养pH为7.23时普鲁兰酶的最大产量（1.94 U/mL）。通过应用统计设计，普鲁兰酶的产量提高到约2倍高（1.70 U/mL）相比，使用非优化的培养基（0.95 U/mL）。据观察，所获得的实验值与从模型预测的值吻合良好，值之间的误差相对较小。
Response surface methodology based on central composite design was employed for statistical optimization of medium components for the production of pullulanase by Raoultella planticola DSMZ 4617. The combined effects of three independent variables, i.e., concentrations of sago starch and peptone and initial culture pH were analyzed using a reduced cubic model, which was developed by central composite design in predicting the optimum yield of pullulanase activity. Under these conditions, the model predicted a maximum production of pullulanase (1.94 U/mL) at 6.12 g/L sago starch, 15.34 g/L peptone, and at initial culture pH of 7.23. By applying the statistical design, the pullulanase production was enhanced to about nearly two times higher (1.70 U/mL) as compared with the fermentation using nonoptimized medium (0.95 U/mL). It was observed that the experimental values obtained were in good agreement with the values predicted from the models with relatively small errors between the values.