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作 者:胡昂 段蕊[1] 刘志东[2] 林娜 张俊杰[1] 李磊[2] 蒋玫[2] HU Ang;DUAN Rui;LIU Zhi-dong;LIN Na;ZHANG Jun-jie;LI Lei;JIANG Mei(College of Marine Life and Fisheries,Huaihai Institute of Technology,Lianyungang Jiangsu 222005,China;East China Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Shanghai 200090,China)
机构地区:[1]淮海工学院海洋生命与水产学院,江苏连云港222005 [2]中国水产科学研究院东海水产研究所,上海200090
出 处:《海洋渔业》2020年第1期98-109,共12页Marine Fisheries
基 金:中央级公益性科研院所基本科研业务费专项资金(2016HY-ZD1003,2019ZD1003);国家现代贝类产业技术体系项目(CARS-48)。
摘 要:采用响应面法优化中性蛋白酶酶解海湾扇贝(Argopecten irradias)副产物蛋白制备抗氧化酶解物工艺。以DPPH自由基清除率和还原能力为响应值,在底物浓度、温度、时间、酶与底物比4个单因素实验基础上,优化确定3个显著性因素。获得实验条件下最佳制备工艺为:底物浓度25 mg·mL^-1、温度50℃、时间3.8 h、酶与底物比1.5%。在此条件下,实验验证酶解海湾扇贝副产物蛋白制备抗氧化酶解物的DPPH清除率为81.93%(预测值为83.19%),还原能力为58.12%(预测值为58.92%),DPPH自由基清除率和还原能力的IC 50值分别为0.264 mg·mL^-1和3.136 mg·mL^-1,且表现出较强的抗氧化活性。研究表明,优化后的回归模型用于预测中性蛋白酶酶解海湾扇贝副产物蛋白制备抗氧化酶解物是可行的。The enzymatic hydrolysis of Argopecten irradias by-product protein to produce antioxidant peptides was optimized using Box-Behnken design.One-factor-at-a-time experiments were carried out to investigate the effects of substrate concentration,hydrolysis temperature,hydrolysis time,and enzyme-to-substrate ratio on the DPPH radical scavenging rate and reducing capacity.The factors with significant influences on the response variables were selected using Box-Behnken design.On this basis,combining with the actual production situation,the optimal process conditions for the hydrolysis of scallop by-product protein were as follows:concentration of substrate 25 mg·mL^-1,hydrolysis temperature 50℃,time 3.8 h,enzyme-to-substrate 1.5%.Under these conditions,the DPPH radical scavenging rate of the antioxidant peptide was 75.38%,in good agreement with the predicted value(79.55%)and the reduction capacity was(59.35±2.64)%.The half inhibitory concentrations for DPPH radical scavenging rate and reducing capacity(IC)of the hydrolysate obtained were 0.264 mg·mL^-1 and 3.136 mg·mL^-1,respectively.Moreover,the product showed a strong antioxidant activity.The results showed that it was feasible to use optimized regression model to predict the antixidant hydrolysates from Argopecten irradias by-product using neutral protease.
分 类 号:TS254.9[轻工技术与工程—水产品加工及贮藏工程]
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