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食品研究与开发:2020,41(17):56-63
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复合蛋白酶水解核桃粕制备血管紧张素转化酶抑制肽工艺优化
(1.江南大学食品学院食品科学与技术国家重点实验室,食品安全与营养协同创新中心,江苏无锡214122;2.汉中市质量技术检验检测中心,陕西汉中723000;3.云南省林业科学院,云南昆明650201)
Optimization of Complex Protease Hydrolysis for Preparation of Angiotensin Converting Enzyme Inhibitory Peptides from Walnut Dregs
(1.State Key Laboratory of Food Science and Technology,Synergetic Innovation Center of Food Safety and Nutrition,School of Food Science,Jiangnan University,Wuxi 214122,Jiangsu,China;2.Hanzhong Quality Technical Inspection and Testing Center,Hanzhong 723000,Shannxi,China;3.Yunnan Academy of Forestry,Kunming 650201,Yunnan,China)
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投稿时间:2020-09-15    
中文摘要: 以低温榨油后的核桃饼粕为原料提取核桃蛋白,采用复合酶水解法制备得到具有降血压活性的血管紧张素转化酶(angiotensin converting enzyme,ACE)抑制肽。在优选复合蛋白酶种类的基础上,以ACE抑制活性为评价指标,通过单因素试验和正交试验进行复合酶酶解参数的优化。结果表明,核桃粕制备ACE抑制肽的最优条件为:复合酶添加质量比1∶2(碱性蛋白酶:中性蛋白酶)、底物浓度4%、酶解温度45℃、pH 8.0、酶添加量8 000 U/g、酶解时间60 min。该条件下制备获得的降血压肽的ACE 抑制活性为(63.42±0.70)%,IC50值为(0.838±0.015)mg/mL,多肽相对分子质量主要为0~2 kDa,具有良好的常温贮藏性和消化率。
Abstract:The angiotensin converting enzyme (ACE)inhibitory peptides with antihypertensive activity have been prepared from walnut dregs after oil extraction by complex enzyme hydrolysis.The enzymatic hydrolysis parameters were optimized through single factor test and orthogonal test based on the optimizing the types of complex proteases,while the ACE inhibitory activity was used as the evaluation index.The optimal conditions of walnut dregs ACE inhibitory peptides preparation were as follows:the weight ratio of complex enzyme 1 ∶2(alkaline protease:neutral protease),the substrate concentration 4%,the enzymatic hydrolysis temperature 45℃,the pH value 8.0,the enzyme addition amount 8 000 U/g,and hydrolysis time 60 min.Under this condition,the ACE inhibitory activity of the antihypertensive peptide prepared was (63.42±0.70)%as well as the IC50value was (0.838±0.015)mg/mL.The relative molecular weight of the prepared peptides was mainly in range of 0-2 kDa,which has good storage property at room temperature and digestibility.
文章编号:202017009     中图分类号:    文献标志码:
基金项目:云南省科技计划项目(2018ZG003)
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