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作 者:惠继星[1] 范锐[2] 岳军[1] 宁艳春[1] 屈海峰[1] 胡世洋[1] 王继艳[1] HUI Jixing;FAN Rui;YUE Jun;NING Yanchun;QU Haifeng;HU Shiyang;WANG Jiyan(Research Institute of Jilin Petrochemical Company,Petro China,Jilin,Jilin 132021;Jilin Fuel Alcohol Co. Ltd.,Jilin,Jilin 132101,China)
机构地区:[1]中国石油吉林石化公司研究院,吉林吉林132021 [2]吉林燃料乙醇有限责任公司,吉林吉林132101
出 处:《酿酒科技》2019年第5期98-102,共5页Liquor-Making Science & Technology
摘 要:利用中心组合响应面优化了纤维素酶、酸性蛋白酶联用的乙醇发酵工艺。结果表明,ρ(酸性蛋白酶)与ρ(纤维素酶)交互作用P值为0.082>0.05,二者交互作用不显著;当ρ(酸性蛋白酶)处于低水平,ρ(纤维素酶)大于2 FPU/g固体原料时,乙醇浓度升高显著;当ρ(纤维素酶)处于低水平,ρ(酸性蛋白酶)大于6 U/g固体原料时,乙醇浓度升高显著。数学模型R2为91.86%,P=0.001<0.05,模型显著,可以用于对实验结果的预测。A CCD-RSM (central composite design-response surface method) design was applied to optimize ethanol fermentation by joint use of acid protease and cellulose. The results suggested that, the interaction P value of acid protease and cellulose was 0.082> 0.05, indicating no significant interaction;as the addition of acid protease was at a low level and the addition of cellulose was above 2 FPU per gram solid materials, ethanol concentration increased significantly;as the addition of cellulose was at a low level, the addition of acid protease was above 6 U per gram solid materials, ethanol concentration increased significantly. R2 of the model was 91.86 % and P value was 0.001 (<0.05), indicating that the model was suitable for forecasting the experiment results.
关 键 词:燃料乙醇 酸性蛋白酶 纤维素酶 中心组合 响应面
分 类 号:TS262.2[轻工技术与工程—发酵工程] TS261.4[轻工技术与工程—食品科学与工程]
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