4.7 Article

Effect of frozen storage temperature on lipid stability of hepatopancreas of Eriocheir sinensis

期刊

LWT-FOOD SCIENCE AND TECHNOLOGY
卷 154, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.lwt.2021.112513

关键词

Eriocheir sinensis hepatopancreas; Frozen storage; Lipid oxidation; Back propagation neural network; Tri-step infrared spectroscopy

资金

  1. 2021 Industrial System Project of Chinese Mitten Crab of Shanghai Municipal Agriculture Commission [202104]

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The study found that the level of lipid oxidation in the hepatopancreas of Eriocheir sinensis varied at different temperatures, with the lowest oxidation observed at -80 degrees Celsius. A back propagation neural network with 10 neurons was effectively used to predict lipid stability during frozen storage with high accuracy. Evaluation of changes in nutritional quality using atherogenesis and thrombosis indexes proved beneficial in understanding the impact of frozen storage conditions on the samples.
In order to investigate and predict the quality of hepatopancreas of Eriocheir sinensis during frozen storage, fatty acid content, peroxide value (POV), acid value (AV) and anisidine value (AnV) were determined at -20, -40 and -80 degrees C, respectively. According to the investigative results, lipid oxidation indexes at -20 degrees C was higher than at -40 and -80 degrees C, and the degree of lipid oxidation was the least at -80 degrees C. In the meantime, the back propagation neural network with 10 neurons was developed to predict lipid stability of the samples during frozen storage with low MSE (0.00023) and high R2 (0.999). Besides, the changes to nutritional quality were evaluated using the index of atherogenesis (AI) and the index of thrombosis (TI). Furthermore, tri-step spectroscopy was applied to analyze and characterize the degree of lipid oxidation. The profile of characteristic peak was spatially revealed by the stereomicroscopy with group-peak at 2924 cm-1, 2854 cm-1, 1745 cm-1, 1641 cm-1, 1461 cm-1 and 1158 cm-1 and were unveiled by the second derivative infrared spectroscopy (SD-IR) for higher resolution, the samples stored at different temperatures were further identified through two-dimensional correlation infrared spectroscopy (2DCOS-IR).

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