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• W2080962384 abstract "Development of real-time, non-destructive methods to characterize dry-cured ham is of interest to the food industry. Since dielectric properties change depending on the composition of the food product studied, time domain reflectometry (TDR) could be a useful method to characterize dry-cured ham. In this study, samples with different compositions were measured with a TDR device equipped with an open-ended coaxial line sensor. Partial least square regression (PLSR) analysis was used to develop predictive models to determine salt, water and fat contents and aw in dry-cured ham. Results show that salt content (RMSEV = 0.22%), water content (RMSEV = 1.67%) and aw (RMSEV = 0.0087) can be accurately determined, though fat content is determined with less precision (RMSEV = 2.81%). Saltiness, dryness and fatness of the samples, in the studied range, did not affect the accuracy of the predictions. Developed predictive models were accurate enough to consider the TDR device as a useful tool for characterizing and classifying dry-cured ham in industry." @default.
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• W2080962384 date "2013-04-01" @default.
• W2080962384 modified "2023-09-24" @default.
• W2080962384 title "Estimation of dry-cured ham composition using dielectric time domain reflectometry" @default.
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• W2080962384 doi "https://doi.org/10.1016/j.meatsci.2012.12.002" @default.
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