Optimization of phosphatidylinositol-specific phospholipase C production using response surface methodology

Response surface methodology was employed in optimizing the nutrient levels needed towards the optimal production of phosphatidylinositol-specific phospholipase C enzyme by Bacillus thuringiensis serovar. kurstaki. A 2(3) factorial central composite experimental design was used. The multiple regression equation, relating the enzyme activity to the nutrient medium, was used to find the optimum values of glucose, peptone and dipotassium hydrogen phosphate. The optimum values of these variables for maximal enzyme production were found to be: glucose, 6.5 g l(-1); peptone, 5.38 g l(-1)and dipotassium hydrogen phosphate, 6.36 g l(-1)with the predicted enzyme activity of 0.96 U ml(-1).