响应面试验优化豌豆胰蛋白酶抑制剂超声粗提工艺

利用响应面分析法对豌豆胰蛋白酶抑制剂超声辅助粗提工艺进行优化。通过单因素试验筛选最佳单因素条件:样品颗粒度80目、超声频率40 kHz、超声时间13 min、超声温度40℃、料液比1∶80(g/mL)、超声功率500 W。在单因素试验基础上,选取超声时间、超声温度、料液比、超声功率为自变量,胰蛋白酶抑制剂总活性为响应值,根据Box-Behnken试验设计原理采用四因素三水平的响应面分析法,并且建立二次多项式回归方程的预测模型。根据回归模型,在超声频率40 kHz、样品颗粒度80目的条件下,确定豌豆胰蛋白酶抑制剂总活性最高的优化组合为超声时间16 min、超声温度50℃、料液比1∶100(g/mL)、超声功率500 W,豌豆胰蛋白酶抑制剂总活性为574.54 TIU/g,与理论预测值582.80 TIU/g相比,其相对误差为1.42%;R_(Adj)~2=0.886 4,R~2=0.943 2,说明该模型拟合程度较好,通过响应面优化后得出的回归方程具有一定的实践指导意义。

Optimization of Ultrasonic-Assisted Extraction of Trypsin Inhibitor from Pea Seeds by

The purpose of the current study was the optimization of the solvent extraction of trypsin inhibitor from pea seeds with ultrasonic assistance. A sample granularity of 80 mesh, an ultrasonic frequency of 40 kHz, a radiation time of 13 min, an extraction temperature of 40 ℃, a solid-to-solvent ratio of 1:80 (g/mL), and an ultrasonic power of 500 W were determined to be optimal using one-factor-at-a-time method. Ultrasonic treatment time, extraction temperature, solid-to-solvent and ultrasonic power were taken as independent variables for further optimization by establishing a quadratic polynomial regression model to predict trypsin inhibitor activity using a Box-Behnken design and analyzing the model by response surface methodology. The final optimized extraction conditions were found to be 80 mesh, 40 kHz, 16 min, 50 ℃, 1:100 (g/mL) and 500 W for sample granularity, and ultrasonic frequency, ultrasonic treatment time, extraction temperature, 50 ℃ and solid-to-solvent ratio, respectively. Under these conditions, the maximum trypsin inhibitor activity of 574.54 TIU/g was obtained experimentally, showing a relative error compared to the predicted value of 1.42%. The developed model exhibited an adjusted coefficient of determination (R2Adj) of 0.886 4 and a coefficient of determination (R2) of 0.943 2, indicating?an?excellent goodness of fit. The model is of great guidance significance.