食品科学

• 生物工程 • 上一篇    下一篇

牦牛背最长肌高铁肌红蛋白还原酶提取工艺的优化

高 娜,张玉斌,韩 玲,保善科,郭文瑞,余群力   

  1. 1.甘肃农业大学食品科学与工程学院,甘肃 兰州 730070;2.青海省海北州畜牧兽医科学研究所,青海 海北 812200
  • 出版日期:2015-02-15 发布日期:2015-02-10

Optimization of Extraction Process for Metmyoglobin Reductase from longissimus dorsi Muscle of Yak

GAO Na, ZHANG Yubin, HAN Ling, BAO Shanke, GUO Wenrui, YU Qunli   

  1. 1. College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China;
    2. Animal Husbandry and Veterinary Institute of Haibei State in Qinghai Province, Haibei 812200, China
  • Online:2015-02-15 Published:2015-02-10

摘要:

为研究牦牛背最长肌高铁肌红蛋白还原酶的最佳提取条件,本实验以牦牛背最长肌为研究对象,以高铁肌红蛋白还原酶活力为考察指标,在单因素试验的基础上,采用响应曲面分析法,以高铁肌红蛋白还原酶活力为响应值,对磷酸盐缓冲液、Tris-HCl和柠檬酸-柠檬酸钠缓冲液3 种提取液的pH值、浓度和料液比3 个因素进行优化。结果表明:各因素对酶活力的影响大小顺序依次为提取液的pH值>料液比>浓度;最佳提取参数为磷酸盐缓冲液pH 7.22、料液比1∶2.25(m/V)、浓度2.12 mmol/L,在此条件下酶活力为73.92 U/L,与理论预测值的相对误差为0.86%,说明本实验所建立的模型在实践中具有可行性。

关键词: 高铁肌红蛋白还原酶, 牦牛背最长肌, 提取工艺, 响应面法

Abstract:

This study aimed to find the optimum extraction conditions for metmyoglobin reductase (MetMbR) from
longissimus dorsi muscle of yak. The selection of extraction buffer and the optimization of important extraction parameters
for enhanced MetMbR activity were carried out by combined use of single factor method and response surface methodology.
PBS buffer was found to be the most suitable for the extraction of MetMbR. The pH and concentration of PBS buffer, and
solid-to-solvent ratio were identified as main extraction parameters, and their importance showed a decreasing order of
pH > solid-to-solvent ratio > concentration. The optimum extraction conditions were determined as extraction using
2.12 mmol/L PBS buffer (pH 7.22) with a solid-to-solvent ratio of 1:2.25 (m/V). Under these conditions, the metmyoglobin
reductase activity was 73.92 U/L, which coincides with the theoretical value with a relative error of 0.86%. In conclution,
the model developed in this study is feasible in practice.

Key words: metmyoglobin reductase, longissimus dorsi muscle of yak, extraction process, response surface methodology

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