Wei Zhang1, Shasha Cheng1,2,3,4, Siqi Wang1, Kuan Yi1, Shan Sun1, Junxin Lin1, Mingqian Tan1,2,3,4, Dongmei Li1,2,3,4. 1. School of Food Science and Technology, Dalian Polytechnic University, Dalian, 116034, China. 2. National Engineering Research Centre of Seafood, Dalian Polytechnic University, Dalian, 116034, China. 3. Engineering Research Centre of Seafood of Ministry of Education of China, Dalian Polytechnic University, Dalian, 116034, China. 4. Collaborative Innovation Centre of Seafood Deep Processing, Dalian Polytechnic University, Dalian, 116034, China.
Abstract
BACKGROUND: 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. RESULTS: LF-NMR results showed that three kinds of T2 protons assigned to protein-water interaction (T21 ), multilayer bound water (T22 ), oil and free water (T23 ), respectively. As the frying temperature increased, protons from the T22 peak significantly decreased, while protons from the T23 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. CONCLUSION: 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.
BACKGROUND: 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. RESULTS: LF-NMR results showed that three kinds of T2 protons assigned to protein-water interaction (T21 ), multilayer bound water (T22 ), oil and free water (T23 ), respectively. As the frying temperature increased, protons from the T22 peak significantly decreased, while protons from the T23 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. CONCLUSION: 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.