School of Food Science and Technology, Dalian Polytechnic University, Dalian, 116034, China.
National Engineering Research Centre of Seafood, Dalian Polytechnic University, Dalian, 116034, China.
J Sci Food Agric. 2021 Aug 30;101(11):4838-4846. doi: 10.1002/jsfa.11130. Epub 2021 Feb 17.
In this work, low-field nuclear magnetic resonance (LF-NMR) and magnetic resonance imaging were used to investigate the changes in protons (from water and oil) distribution of mackerel during the frying process. The relationship between proton migration and some physicochemical indexes was established by partial least squares regression (PLSR). The changing mechanism of the quality characteristics and physicochemical properties of fish meat under different frying conditions was analysed by LF-NMR combined with PLSR, which provided theoretical support for the development of canned mackerel food.
LF-NMR results showed that three kinds of T protons assigned to protein-water interaction (T ), multilayer bound water (T ), oil and free water (T ), respectively. As the frying temperature increased, protons from the T peak significantly decreased, while protons from the T peak remarkably increased. The microstructure of fried mackerel was destroyed; cooking loss, oil content, a* value, b* value, hardness and chewiness increased; and the protein content and L* value decreased. Furthermore, PLSR analysis revealed that significant correlation was observed between the cooking loss, TPA parameter (chewiness), colour parameter (L*) and LF-NMR parameters.
Different frying temperatures and times had a strong effect on the physicochemical properties of mackerel. Good prediction models could be established by proton migration using the LF-NMR technique and PLSR for fried mackerel. Quality control of fried fish could be realized by monitoring the change in LF-NMR data. © 2021 Society of Chemical Industry.
本工作采用低场核磁共振(LF-NMR)和磁共振成像技术研究了鲐鱼在油炸过程中质子(水相和油相)分布的变化。通过偏最小二乘回归(PLSR)建立了质子迁移与一些物理化学指标之间的关系。通过 LF-NMR 结合 PLSR 分析不同油炸条件下鱼肉品质特性和理化性质的变化机制,为开发罐装鲐鱼食品提供了理论支持。
LF-NMR 结果表明,三种 T 质子分别分配给蛋白质-水相互作用(T )、多层结合水(T )、油和自由水(T )。随着油炸温度的升高,来自 T 峰的质子显著减少,而来自 T 峰的质子显著增加。油炸鲐鱼的微观结构被破坏;蒸煮损失、含油量、a值、b值、硬度和咀嚼性增加;蛋白质含量和 L值降低。此外,PLSR 分析表明,蒸煮损失、TPA 参数(咀嚼性)、颜色参数(L)与 LF-NMR 参数之间存在显著相关性。
不同的油炸温度和时间对鲐鱼的理化性质有很强的影响。通过 LF-NMR 技术和 PLSR 可以建立基于质子迁移的良好预测模型来预测油炸鲐鱼。通过监测 LF-NMR 数据的变化,可以实现油炸鱼的质量控制。 © 2021 英国化学学会。