Statistical Optimization of Fermentation Conditions for Cellulase Production from Palm Oil Mill Effluent | Science Publications

American Journal of Environmental Sciences

Jamal I. Daoud¹  Md. Z. Alam¹ 

关键词: Palm oil mill effluent;    cellulase enzyme;    bioconversion;    statistical optimization;   

DOI  :  10.3844/ajessp.2010.66.70

学科分类：环境科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: Palm oil mill effluent discharged by the oil palm industries is considered as the mixed of high polluted effluent which is abundant (about 20 million tonnes year^-1) and its effect contributes to the serious environmental problems through the pollution of water bodies. Approach: The aim of this study was to identify the potential of low cost substrate such as Palm Oil Mill Effluent (POME) for the production of cellulase enzyme by liquid state bioconversion. The filamentous fungus Trichoderma harzianum was used for liquid state bioconversion of POME for cellulase production. Statistical optimization was carried out to evaluate the physico-chemical parameters (factors) for maximum cellulase production by 2-level fractional factorial design with six central points. The polynomial regression model was developed using the experimental data including the effects of linear, quadratic and interaction of the factors. The factors involved were substrate (POME) and co-substrate (wheat flour) concentrations, temperature, pH, inoculum and agitation. Results: Statistical analysis showed that the optimum conditions were: Temperature of 30

【 授权许可】

Unknown