In most of the developed countries, the most of the transport running is on some form of biofuel. The main feedstocks used to produces biofuel are wheat and corn grans. The addition of bioethanol into motor fuels has increased the pressure to the grains supply market and food prices are on the increase due to a relation with the grains prices. A use of waste lignocellulosic materials (agricultural waste and /or forestry waste) would release this pressure.

The cost of biofuel production is based on the costs of two main reactant materials i) lignocellulosic materials, ii) enzymes. The cost of enzymes can be reduced by reuse of them. Apart from the redesigning of enzymes to increase enzymes stability at elevated temperature etc., it is also important to look into the optimization of operating parameters. The optimization of the adsorption parameters was performed by using statistical analysis tools such as Response Surface Methodology (RSM) and Restricted Maximum Likelihood Estimation (RMLE). The obtained binomial quadratic model predicted almost the same values of the cellulases adsorbed as that of experimental values within a percent error of x±6. The optimized values of the operating parameters were modified according to available practical knowledge and the model was validated. It was found to be in the agreement of the experimental values. The optimized conditions would help biofuel industry in designing their production process.