School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou, Guangdong 510640, PR China.
Bioresour Technol. 2011 Sep;102(17):8077-84. doi: 10.1016/j.biortech.2011.05.078. Epub 2011 Jun 13.
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: 224 IU/g(starch) α-amylase, 694 IU/g(starch) glucoamylase, 77°C and 104 min for biomass; 264 IU/g(starch) α-amylase, 392 IU/g(starch) glucoamylase, 60°C and 85 min for ethanol concentration; 214 IU/g(starch) α-amylase, 398 IU/g(starch) glucoamylase, 79°C and 117 min for starch utilization ratio. The hydrolysis conditions were subsequently evaluated by multi-objectives optimization utilizing the weighted coefficient methods. The Pareto solutions for biomass (3.655-4.380×10(8)cells/ml), ethanol concentration (15.96-18.25 wt.%) 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.
采用多目标优化对生物乙醇生产的冷酶水解条件进行了优化。响应面法优化了α-淀粉酶、糖化酶、液化温度和液化时间对酿酒酵母生物质、乙醇浓度和淀粉利用率的影响。水解的最佳条件为：淀粉 224IU/g 的α-淀粉酶、淀粉 694IU/g 的糖化酶、77°C 和 104min 的生物质；淀粉 264IU/g 的α-淀粉酶、淀粉 392IU/g 的糖化酶、60°C 和 85min 的乙醇浓度；淀粉 214IU/g 的α-淀粉酶、淀粉 398IU/g 的糖化酶、79°C 和 117min 的淀粉利用率。随后，利用加权系数法对水解条件进行了多目标优化评价。获得了生物质（3.655-4.380×10(8)cells/ml）、乙醇浓度（15.96-18.25wt.%）和淀粉利用率（92.50-94.64%）的帕累托解。验证试验表明，优化条件是可行和可靠的。这种多目标优化在工业生物乙醇生产中具有潜在的重要性。
