Abstract: The research aimed to optimize the extraction technology of water-soluble selenium-containing protein from selenium-enriched maitake. Based on the single factor experiments, extraction conditions including extraction temperature, extraction time and liquid-solid ratio were optimized using response surface methodology taking Se-containing protein extraction rate as responses value.  The mathematical model was established. The extraction conditions were optimized. The optimal conditions were as follows:  the extraction temperature was 42.3℃, extraction time was 7.8 h, and the ratio of material to water was 1∶23.9 (g/mL). In these conditions, the yield and content of se-containing protein were 4.36% and 44.01%, respectively. The experiment results of extraction ratio fit well with theoretical values. Furthermore, the established regression model can be used to predict extraction yield of selenium-containing protein in actual process.

Key words: response surface methodology, selenium-enriched maitake, selenium-containing protein

摘要： 为了研究富硒灰树花水溶性含硒蛋白的最优提取工艺，在单因素实验的基础上，以提取得率为响应值，提取温度、时间和料液比为响应因子，采用3因素3水平的响应面法分析，建立数学模型并获得最佳工艺条件。结果显示，富硒灰树花水溶性含硒蛋白的最佳提取工艺条件为：提取温度42.3℃，提取时间7.8 h，料液比1∶23.9（g/mL）；该工艺条件下，含硒蛋白得率和含量分别为4.36%和44.01%。结果表明所得回归方程拟合情况良好，可用于预测富硒灰树花水溶性含硒蛋白的提取得率。

关键词: 响应面, 富硒灰树花, 含硒蛋白