Application of response surface methodology for statistical optimization of carboxymethylcellulase by Thermomyces dupontii TK-19 using submerged fermentation
In present work, optimization of nutritional parameters for carboxy methyl cellulase production was studied through experimental design. A central composite design, with 8 axial points, 16 factorial points and 6 center points were used for optimizing and predicting four independent variables such as Lactose, peptone, ammonium sulphate and Tween 80. By means of ANOVA significance of four independent variables and their possible interactions was tested with 95% of confidence level. A good agreement was obtained between predicted and experimental model. The predicted response 71.3 U/ml/min from the model showed close agreement with 72 U/ml/min of the experimental data which validates the effectiveness of the model while reducing the required number of experiments.
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