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响应曲面法骨胶原蛋白酶解条件的优化
引用本文:李 珂,杨秀华,扈 麟,李宗军.响应曲面法骨胶原蛋白酶解条件的优化[J].食品科学,2009,30(7):135-140.
作者姓名:李 珂  杨秀华  扈 麟  李宗军
作者单位:食品科学与生物技术湖南省重点实验室,湖南农业大学食品科技学院
基金项目:湖南省重大科技专项项目(2007FJ1003);湖南省教育厅优秀青年基金项目 (06B040)
摘    要:根据Box-Behnken的中心组合试验设计原理,在单因素和双因子交互作用试验的基础上,运用Minitab14数据统计分析软件,采用三因素三水平的响应曲面分析法,建立Protamex复合蛋白酶水解骨粉制备骨多肽液的二次多项数学模型,并以多肽生成量为响应值作响应面和等高线,得到酶水解骨粉制备骨多肽液的优化工艺条件为:底物浓度为15%(W/V)、pH7.5、酶浓度为0.25%(W/W)、温度55℃、水解时间为13h,多肽生成量为121.45mg/g骨粉。

关 键 词:多肽  酶解  骨粉  响应曲面法  水解条件优化  
收稿时间:2008-06-27

Optimization of Enzymatic Hydrolysis Conditions of Pig Bone Collagen by Response Surface Methodology
LI Ke YANG Xiu-hua HU Lin LI Zong-jun.Optimization of Enzymatic Hydrolysis Conditions of Pig Bone Collagen by Response Surface Methodology[J].Food Science,2009,30(7):135-140.
Authors:LI Ke YANG Xiu-hua HU Lin LI Zong-jun
Affiliation:(Hunan Province Key Laboratory of Food Science and Biotechnology, College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China)
Abstract:In order to obtain polypeptides from pig bone collagen as much as possible, the enzymolysis process of bone collagen was optimized. On the basis of one-factor and double-factor interaction tests, according to Box-Behnken central composition design principle, the method of response surface analysis with 3 factors (substrate concentration, Protamex-compound protease concentration and hydrolysis time) and 3 levels combined with Minitab14-statistical data analysis software was adopted to built a quadratic regression equation with pig bone polypeptide yield as the function, and with pig bone polypeptide yield as the response value, the response surface and contour were plotted. According to the above results, the optimum enzymolysis conditions were obtained as follows: substrate concentration 15%, pH 7.5, enzyme concentration 0.25%, hydrolysis temperature 55 ℃ and time 13 h. Under these conditions, the polypeptide yield is up to 121.45 mg/g pig bone powder.
Keywords:polypeptide  enzymatic hydrolysis  pig bone powder  response surface methodology (RSM)  hydrolysis condition  optimization  
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