响应面法优化鱿鱼内脏酶解工艺的研究

Research on optimization of enzymolysis technology of squid viscera by response surface methodology

以鱿鱼内脏为研究对象,选用水解度和氮收率作为衡量鱿鱼内脏酶解工艺的指标,首先筛选出胰蛋白酶最有利于鱿鱼内脏的酶解。在单因素基础上,选用pH、酶解温度、酶解时间、酶添加量等作为自变量,以水解度作为响应值,利用Box-Behnken中心组合设计原理,以及响应面分析方法,模拟得到二次多项式回归方程的预测模型。根据该模型并结合实际,确定鱿鱼内脏酶解的最佳工艺条件为pH 8.0,酶解温度43℃,酶解时间4.0h,酶添加量0.27%,预测响应值为72.62%。在此条件下,鱿鱼内脏酶解后的水解度平均值为73.58%,与预测值的相对偏差为1.32%,说明通过响应面优化后得出的回归方程高度显著,具有良好的指导意义。通过模型系数显著性检验,得到因素的主效应关系为:酶解时间>酶解温度>酶添加量>pH。

The degrees of hydrolysis and nitrogen recovery of the hydrolysis of squid viscera are studied. First, trypsin was selected as the best one to enzymolysis of squid viscera. Parameters including pH, enzymolysis temperature, enzymolysis time and enzyme concentration were optimized using Box-Behnken central composite design and response surface analysis methods. The degree of hydrolysis was used as response value, single factor experiment was used for choosing the maximum degree of hydrolysis. According to the simulation model and combined with actual conditions, the optimum conditions were set as . pH 8.0, enzymolysis temperature 43 ℃, enzymolysis time 4h, and enzyme concentration 0.27%. the predict response value and the actual value was 72.62% and 73.58% respectively, with the relative deviation of 1.32%. The results indicated that response surface regression equation was highly significant and valid. In addition, through the model test of significance, the order of main effects of factors was. enzymolysis time 〉 enzymolysis temperature 〉 enzyme concentration 〉 pH.