响应面法优化超声辅助热水提取黄河鲤鱼鱼鳞明胶工艺

Optimization of Ultrasonic-Assisted Hot Water Extraction of Gelatin from Yellow River Cyprinus carpio haematopterus Scale

采用超声辅助热水提取法从新鲜黄河鲤鱼鱼鳞中提取明胶,在单因素试验的基础上,采用响应面试验中的Box-Behnken试验设计,对影响鱼鳞明胶提取率的提取温度、超声时间、超声功率和液料比因素进行优化,建立各因素与明胶得率关系的数学模型。结果表明:黄河鲤鱼鱼鳞明胶的超声辅助热水提取最佳工艺参数为提取温度70℃、超声时间100min、超声功率300W、液料比10:1(mL/g),在此条件下明胶得率64.18%,与模型预测值接近,因此该模型可以应用于生产。

Gelatin was extracted from fresh Cyprinus carpio haematopterus scale by ultrasound-assisted extraction method. On the basis of single factor experiments, Box-Behnken design （BBD） and response surface methodology （RSM） were applied to explore the effects of extraction temperature, ultrasonic treatment time, ultrasonic power and material/liquid ratio on extraction efficiency. A mathematical model was established and analyzed to describe the relationship between the extraction variables and the yield of gelatin. The optimum extraction conditions were found to be 70 ℃ extraction temperature, 300 W ultrasonic power, 100 min ultrasonic treatment time, and a liquid-to-solid ratio of 10：1 （mL/g）, resulting in a yield of gelatin of 64.18%, which was in good agreement with the model predicted value. Therefore, this method can be applied in the natural oroduct industry.