초록
Cold enzymatic hydrolysis conditions for bioethanol production were optimized using multi-objective optimization. Response surface methodology was used to optimize the effects of α-amylase, glucoamylase, liquefaction temperature and liquefaction time on S. cerevisiae biomass, ethanol concentration and starch utilization ratio. The optimum hydrolysis conditions were: 224IU/g<SUB>starch</SUB> α-amylase, 694IU/g<SUB>starch</SUB> glucoamylase, 77<SUP>o</SUP>C and 104min for biomass; 264IU/g<SUB>starch</SUB> α-amylase, 392IU/g<SUB>starch</SUB> glucoamylase, 60<SUP>o</SUP>C and 85min for ethanol concentration; 214IU/g<SUB>starch</SUB> α-amylase, 398IU/g<SUB>starch</SUB> glucoamylase, 79<SUP>o</SUP>C and 117min for starch utilization ratio. The hydrolysis conditions were subsequently evaluated by multi-objectives optimization utilizing the weighted coefficient methods. The Pareto solutions for biomass (3.655-4.380x10<SUP>8</SUP>cells/ml), ethanol concentration (15.96-18.25wt.%) and starch utilization ratio (92.50-94.64%) were obtained. The optimized conditions were shown to be feasible and reliable through verification tests. This kind of multi-objective optimization is of potential importance in industrial bioethanol production.