食品科学 ›› 2011, Vol. 32 ›› Issue (21): 218-222.doi: 10.7506/spkx1002-6630-201121045

• 生物工程 • 上一篇    下一篇

响应面法优化酸水解制备波纹巴非蛤小分子肽工艺

陈晓刚1,李文海1,陈 忻1,戎海武2,苗 晴2,孙恢礼3   

  1. 1.佛山科学技术学院化学与化工系
    2.佛山科学技术学院信息科学与数学系 3.中国科学院南海海洋研究所
  • 出版日期:2011-11-15 发布日期:2011-11-11
  • 基金资助:
    “十一五”国家科技支撑计划项目(2008BAD94B08);广东省2009 院省合作项目(2009B091300018); 广东省 2010 院省合作项目(2010B090900027)

Response Surface Methodology for Optimization of Small Peptide Preparation from Paphia undulate Meat by Acid Hydrolysis

CHEN Xiao-gang1,LI Wen-hai1,CHEN Xin1,RONG Hai-wu2,MIAO Qing2,SUN Hui-li3   

  1. (1. Department of Chemistry and Chemical Engineering, Foshan University, Foshan 528000, China 2. Department of Information Sciences and Mathematics, Foshan University, Foshan 528000, China 3. South China Sea Institute of Oceanology, Chinese Academy Sciences, Guangzhou 510301, China)
  • Online:2011-11-15 Published:2011-11-11

摘要: 应用响应面分析法优化酸水解制备波纹巴非蛤小分子肽的工艺条件。采用二次正交旋转组合设计试验,以波纹巴非蛤肽得率为响应值,进行3因素5水平的响应面分析,建立二次回归模型,其拟合优度为92.09%。获得的最优酸水解条件为:固液质量比1:3、盐酸浓度6.4mol/L、酸水解温度92℃、酸水解时间5.3h。在此条件下肽得率为82.21%,与模型预测的肽得率84.04%接近。SDS-PAGE电泳测得酸水解液组分的最小分子质量小于2kD。

关键词: 响应面分析, 波纹巴非蛤, 酸水解, 小分子肽

Abstract: In this study, an acid hydrolysis procedure for preparing small peptides from Paphia undulate meat was proposed and optimized using response surface methodology (RSM). A quadratic regression model describing small peptide yield as a function of 3 variables was created based on a 5-level quadratic orthogonal rotation combination design, whose goodness of fit was 92.09%. The optimal hydrolysis conditions were found as follows: raw material-to-water ratio of 1:3, hydrochloric acid concentration of 6.4 mol/L, hydrolysis temperature of 92 ℃ and hydrolysis time of 5.3 h. Under the optimal conditions, the predicted and experimental recovery rates of small peptides were 84.04% and 82.21%, respectively. SDS-PAGE revealed that the smallest peptides in the resulting hydrolysate were less than 2 kD.

Key words: response surface methodology, Paphia undulata, acid hydrolysis, small peptide

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