响应面法优化羊肚菌中蛋白质的提取工艺
目的 采用响应面法优化羊肚菌蛋白质的提取工艺。方法 通过超声波辅助提取羊肚菌蛋白, 以蛋白得率为指标, 考察超声温度、超声时间、料液比和pH对羊肚菌蛋白得率的影响。在单因素的基础上通过Box-Behnken试验对提取工艺试验进行优化试验。结果 超声波辅助提取羊肚菌蛋白的最佳工艺条件为：料液比1:50 (g:mL)、超声时间60 min、提取温度60 ℃、pH 12, 在此条件下蛋白得率为(32.56±0.50)%, 与预测值32.99%接近。通过响应面分析得到的多元二次回归方程Y=32.56+0.97A1.21B+1.24C0.2AB1.07AC 1.45BC1.86A24.26B21.87C2, 该模型可较好地预测羊肚菌蛋白得率, 其中各因素对蛋白质得率影响的大小依次为: pH＞超声温度＞超声时间。结论 本研究为羊肚菌蛋白的提取提供基础。
Objective To optimize the extraction process of Morchella protein by response surface methodology. Methods Through the single factor experiment, taking the yield of Morchella protein as the index, using the ultrasonic assisted extraction technology, respectively, to investigate the influence of ultrasonic temperature, ultrasonic time, material liquid ratio and pH on the yield of Morchella protein. On the basis of the single factor experiment, three kinds of factors, ultrasonic temperature, ultrasonic time and pH, were selected to optimize the experiment through the box Behnken experiment design. Results The optimum conditions of ultrasonic assisted extraction of Morchella protein were the ratio of material to liquid 1:50 (g:mL) , ultrasonic time 60 min, extraction temperature 60 ℃, pH 12. Under the optimum conditions, the actual protein yield was (32.56±0.50)%, which was very close to the predicted value of 32.99%. The multiple quadratic regression equation obtained by response surface analysis showed that the yield of Morchella protein was Y=32.56+0.97A1.21B+1.24C0.2AB1.07AC1.45BC 1.86A24.26B21.87C2, which could better predict the extraction effect of Morchella protein. The effects of each factor on protein yield were pH, ultrasound temperature and ultrasound time. Conclusion This study can provide the basis for protein extraction and functional study of Morchella.
标题：响应面法优化羊肚菌中蛋白质的提取工艺
英文标题：Optimization of protein extraction from Morchella by response surface methodology
作者：
李思 石河子大学食品学院
孟萌 石河子大学食品学院
马彦华 石河子大学食品学院
张舒靖 石河子大学食品学院
燕婷 石河子大学食品学院
张立洁 石河子大学食品学院
胡月 石河子大学食品学院
许程剑 石河子大学食品学院
中文关键词:羊肚菌,蛋白质,超声波,响应面法,
英文关键词:Morchella,protein,ultrasound,response surface methodology,
发表日期：2020-02-16
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