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- W4312963971 abstract "Impedance spectroscopy shows excellent potential for meat monitoring and classification in the supermarket. Different muscles of veal and beef were measured in a wide frequency range, and the Distribution of Relaxation Times (DRT) was used to extract the impedance spectra’s parameters. A fuzzy logic model applies these parameters to classify meat according to its freshness. During Kramer-Kronig results, the spectra have low residuals between 0.59% and 2.49%. DRT results show a different number of peaks between veal and beef. 3 (R||C) elements are needed for the veal to fit the spectra. However, five peaks are needed for the beef. Finally, the fuzzy logic results have a good accuracy between 60% and 100% to classify the freshness of different muscles." @default.
- W4312963971 created "2023-01-05" @default.
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- W4312963971 date "2022-09-27" @default.
- W4312963971 modified "2023-09-27" @default.
- W4312963971 title "Meat Freshness Assessment based on Impedance Spectroscopy and Distribution of Relaxation Times (DRT)" @default.
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- W4312963971 doi "https://doi.org/10.1109/iwis57888.2022.9975110" @default.
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