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作 者:吴建宝[1] 马齐兵 胡传荣[1,2] 何东平[1,2] Wu Jianbao Ma Qibing Hu Chuanrong He Dongping(College of Food Science and Engineering, Wuhan Polytechnic University , Wuhan 430023 Grain and Oil Resources Comprehensive Exploitation and Engineering Technology Research Center of State Administration of Grain, Wuhan 430023)
机构地区:[1]武汉轻工大学食品科学与工程学院,武汉430023 [2]国家粮食局粮油资源综合开发工程技术研究中心,武汉430023
出 处:《中国粮油学报》2017年第6期91-95,99,共6页Journal of the Chinese Cereals and Oils Association
基 金:国家粮食局粮食公益性行业科研专项(201313012-03)
摘 要:为了提高水相酶法油脂提取率,研究采用超声辅助提取油茶籽油及水解蛋白。应用PlackettBurman设计联用响应面分析法对超声辅助水相酶法提取油茶籽油和水解蛋白的工艺进行优化。首先用Plackett-Burman设计试验筛选出具有显著效应的3个因素——超声时间、pH和反应时间;然后采用响应面分析法确定主要影响因素的最优工艺条件为超声时间30 min、pH 9和反应时间3.5 h,在此条件下,油茶籽油得率为89.704%,油茶籽蛋白得率为90.638%,与预测值误差不超过0.5%。这表明Plackett-Burman设计联用响应面分析法建立的模型具有可行性。Ultrasound - assisted extraction of oil and hydrolyzed protein from camellia was studied in order to improve oil extraction by aqueous enzymatic. Ultrasound - assisted aqueous enzymatic extraction of oil and protein from camellia was optimized by Plackett Burman design combined with response surface methodology. Firstly, ultrasonic time, pH, response time were identified by Plackett - Burman design as the significant factors, then the extraction conditions were optimized by response surface analysis as follows:, ultrasonic time 30rain, pH9 and response time 3.5 h. Under the above conditions,the yields of oil was 89. 704% ,the yields of protein was 90. 638% ,and the value error with the predict value was less than 0. 5%. It indicated that the model build by Plackett Burman design combined with response surface methodology was reliability.
关 键 词:Plackett—Burman设计 超声波 水相酶法 响应面
分 类 号:TS224[轻工技术与工程—粮食、油脂及植物蛋白工程]
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