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Fulladosa E.,IRTA. XaRTA. Food Technology | Duran-Montge P.,CENTA | Serra X.,IRTA. XaRTA. Food Technology | Picouet P.,IRTA. XaRTA. Food Technology | And 2 more authors.
Meat Science | Year: 2013

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. © 2012 Elsevier Ltd.

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