Response Surface Optimization of the Cultural Conditions for the Production of Alkaline Protease

Abstract

<i>Bacillus </i>sp <i>(PE-11)</i>, the most potent producer of alkaline protease was used for the production of alkaline protease. Response surface methodology was used to achieve the optimization of the experimental conditions for the optimal production of alkaline protease. To study the proposed second-order polynomial model, the central composite experimental design with multiple linear regression was used to estimate the model coefficients of the five selected factors. These factors were considered to influence the optimization process. The best yields were obtained at pH of 8.0, 35^oC, rpm 280, incubation time 72 h, and 7.5 per cent level of salt solution. This methodology was found to be very efficient and only 36 experiments were needed to assess these conditions. The model adequacy was very satisfactory, as the coefficient of determination was 0.93057.