MODELING AND OPTIMIZATION OF CELLULOSIC ETHANOL PRODUCTION FROM SAWDUST USING BACILLUS SUBTILIS ENZYM

A. O. Okewale, F. Omoruwuo

Abstract


Modeling and optimization of cellulosic ethanol production from sawdust (hardwood) using Bacillus subtilis enzyme was investigated.  Modeling and Optimization of the process variables was carried out using the Response Surface Methodology (RSM) Box  - Behnken Design (BBD) design of experiment. The optimum process variables obtained were 5.99 h of hydrolysis, 9.91 % H2SO4 concentration, and 59.97 h for fermentation time with a predicted value of 56.968 wt % as ethanol concentration. The experimentally result obtained from the optimum value validation is 97.423 % close to the result obtained from the predicted optimum value.

 

Keywords: Cellulosic ethanol, Response Surface Methodology, Sawdust, Optimization

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