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一种简化的金枪鱼肌红蛋白分离方法及其自氧化特性

A streamlined isolation method and the autoxidation profiles of tuna myoglobin.

作者信息

Nurilmala Mala, Ushio Hideki, Watabe Shugo, Ochiai Yoshihiro

机构信息

1Department of Aquatic Product Technology, Faculty of Fisheries and Marine Sciences, Bogor Agricultural University, Bogor, Indonesia.

2Department of Aquatic Bioscience, The University of Tokyo, Bunkyo, Tokyo 113-8657 Japan.

出版信息

J Food Sci Technol. 2018 May;55(5):1641-1647. doi: 10.1007/s13197-018-3068-3. Epub 2018 Mar 24.

Abstract

Determination of the redox state of myoglobin (Mb) gives useful information for evaluating the quality of tuna meat. To attain this purpose, a fast streamlined method has been established basically based on preparative native gel electrophoresis to isolate Mb from the dark muscle of Pacific bluefin tuna. Crude Mb fraction was prepared from dark muscle by ammonium sulfate saturation fractionation and subsequently Mb was purified by preparative native gel electrophoresis under the isoelectric pH of the Mb, resulting in absorption (or trapping) of all the contaminating proteins in the gel. Purified Mb was converted to oxy form with a trace amount of sodium hydrosulfite, and subsequently dialyzed against 50 mM sodium citrate (pH 5.6) or 50 mM sodium phosphate (pH 6.5). The purified tuna Mb was examined for the temperature and pH dependencies of autoxidation using horse Mb as a reference. Tuna Mb was oxidized 2.5-3 times faster than horse Mb irrespective of the pH conditions examined. The highest autoxidation rates both at 0 and 37 °C were observed at pH 5.6. These data were comparable to those obtained for Mbs isolated by conventional chromatographic methods.

摘要

测定肌红蛋白(Mb)的氧化还原状态可为评估金枪鱼肉的品质提供有用信息。为实现这一目的,已基本建立了一种基于制备性天然凝胶电泳从太平洋蓝鳍金枪鱼暗色肌肉中分离Mb的快速简化方法。通过硫酸铵饱和分级从暗色肌肉中制备粗Mb级分,随后在Mb的等电pH值下通过制备性天然凝胶电泳纯化Mb,从而使所有污染蛋白吸附(或截留)在凝胶中。用微量连二亚硫酸钠将纯化的Mb转化为氧合形式,随后用50 mM柠檬酸钠(pH 5.6)或50 mM磷酸钠(pH 6.5)进行透析。以马Mb为参照,研究了纯化的金枪鱼Mb自氧化的温度和pH依赖性。无论所检测的pH条件如何,金枪鱼Mb的氧化速度都比马Mb快2.5至3倍。在pH 5.6时,在0和37°C下均观察到最高的自氧化速率。这些数据与通过传统色谱方法分离得到的Mb的数据相当。

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