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- W3204309100 abstract "The objectives of this study were to study the quality changes (ice crystal morphology, Ca2+-ATPase activity, total sulfhydryl [SH] content, intrinsic fluorescence intensity [IFI], and K value [freshness determination]) of tilapia at different storage temperatures for 112 days, and kinetic models and artificial neuronal network (ANN) were developed to predict the changes. There was a dramatic increase in cross-section area and equivalent diameter and a sharp decrease in Ca2+-ATPase activity and SH content during the first 4 weeks (p < 0.05). IFIλmax decreased by 43.95%, 29.77%, 28.97% and 18.58% after 16 weeks at 265 K, 259 K, 253 K, and 233 K. The kinetic model established by IFIλmax could be accurately described the quality changes during storage at 233-265 K. However, the prediction accuracy established by other indices decreased at later stages (14-16 weeks). The ANN model was superior to Arrhenius models and performed better for all indicators." @default.
- W3204309100 created "2021-10-11" @default.
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- W3204309100 date "2022-03-01" @default.
- W3204309100 modified "2023-10-01" @default.
- W3204309100 title "Comparison of Arrhenius model and artificial neuronal network for predicting quality changes of frozen tilapia (Oreochromis niloticus)" @default.
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- W3204309100 doi "https://doi.org/10.1016/j.foodchem.2021.131268" @default.
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