摘要
以富硒稻米为原料,研究提取硒蛋白的工艺条件,为优质蛋白的开发利用提供参考依据。使用超声波细胞粉碎仪辅助,碱法浸提相结合提取硒蛋白。在单因素试验的基础上,采用响应面法中的Box-Behnken试验设计,对影响大米蛋白提取率的4个影响因素(碱浓度、料液比、超声波功率和提取时间)进行优化,并构建了硒蛋白提取率的回归预测模型。试验结果表明,各影响因素对大米硒蛋白的提取率均有显著影响,因素主次顺序为:碱浓度>料液比>超声波功率>提取时间。提取大米硒蛋白的最佳工艺条件为碱浓度0.4%、料液比1∶10、超声波功率220 Hz、提取时间2 h,在该条件下的大米硒蛋白的提取率为57.95%,与模型预测值(57.44%)接近。通过响应面试验优化的提取工艺可有效地从大米中提取硒蛋白,建立的回归模型在实际生产预测中具有较高的准确性。
The selenium-rich rice was taken as raw material,and the process conditions of selenoprotein extraction were studied,so as to provide reference for the development and utilization of high-quality protein.Selenoprotein was extracted by ultrasonic cell pulverizer and alkali extraction method,and the Box-Behnken test design in the response surface method was used to optimize the four influencing factors affecting the rice protein extraction rate,namely alkali concentration,material-liquid ratio,ultrasonic power and extraction time.The regression prediction model of selenoprotein extraction rate was constructed.The results showed that the factors had significant influence on rice selenoprotein extraction rate,and the primary and secondary factors were:base concentration>liquid ratio>ultrasonic power>extraction time.The optimal process conditions were as follows:alkali concentration 0.4%,liquid ratio 1∶10,ultrasonic power 220 Hz and 2 h.Under the conditions,the extraction rate of rice selenoprotein was 57.95%,which was close to the predicted value of 57.44%.Rice selenoprotein can be effectively extracted by the ultrasonic-assisted alkali method optimized by the response surface test,and the established regression model can be used for practical production prediction.
作者
罗晶
胡帅
杨标斌
李信
欧阳玲花
周巾英
袁林峰
祝水兰
LUO Jing;HU Shuai;YANG Biao-bin;LI Xin;OUYANG Ling-hua;ZHOU Jin-ying;YUAN Lin-feng;ZHU Shui-lan(Institute of Agricultural Processing,Jiangxi Academy of Agricultural Sciences,Nanchang 330200,China;Industrial Products Inspection and Testing Institute,Jiangxi General Institute of Inspection Testing and Certification,Nanchang 330200,China)
出处
《江西农业学报》
CAS
2022年第9期184-189,共6页
Acta Agriculturae Jiangxi
基金
江西省科技支撑计划重点项目(20192BBFL60026、20202BBFL63032)
江西现代农业科研协同创新专项(JXXTCX202003)。
关键词
富硒大米
硒蛋白
硒蛋白提取率
硒得率
响应面分析
Selenium-rich rice
Selenoprotein
Selenium protein yield
Selenium yield
Response surface analysis
