超声辅助酶法促进啤酒废酵母自溶的研究
Study on ultrasonic-assisted enzymatic enhancing autolysis of yeast from waste brewer
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摘要: 通过单因素实验,研究各因素对超声辅助酶法促进啤酒酵母自溶的影响。采用Statistica 8.0分析软件建立四因素三水平Box-Behnken模型,获得了二次多项式数学模型。超声辅助酶法促进啤酒废酵母自溶的最佳工艺条件为:超声时间为45min,超声功率为720W,木瓜蛋白酶加酶量为1.8%,初始温度为25℃,氨基酸态氮得率预测值为3.98%,真实值为3.92%,与预测值相近,表明实验设计与分析方法可靠,该模型可用于超声辅助酶法促进啤酒废酵母自溶工艺。Abstract: Effects of each factor on the ultrasonic-assisted enzymatic enhancing autolysis of yeast from waste brewert were studied. After single-factor experiments, four-factor three-level Box-Behnken model was established by using Statistica 8.0 software, and the quadratic regression model was gotten. Optimal conditions of ultrasonic-assisted enzymatic enhancing autolysis of yeast from waste brewer were:ultrasonic time 45min, ultrasonic power 720W, enzyme concentration 1.8%, the start temperature 25℃, the predicted yield of amino acid nitrogen was 3.98%, the real one was 3.92% which was close to the predicted value. Results indicated that the experiment design and analysis method was reliable and the model could be used in the process of ultrasonic-assisted enzymatic enhancing autolysis of yeast from waste brewer.