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Estimation of dry-cured ham composition using dielectric time domain reflectometry
E Fulladosa1, P Duran-Montgé, X Serra
1IRTA. XaRTA. Food Technology. Finca Camps i Armet, E-17121 Monells (Girona), Spain. elena.fulladosa@irta.es
Meat Science
|January 15, 2013
Summary
Time domain reflectometry (TDR) offers a non-destructive method for analyzing dry-cured ham composition. This technique accurately predicts salt, water, and water activity (a(w)) for industrial food characterization.
Area of Science:
- Food Science and Technology
- Analytical Chemistry
- Sensor Technology
Background:
- Real-time, non-destructive methods are crucial for dry-cured ham characterization in the food industry.
- Dielectric properties are sensitive to food composition, suggesting potential for analytical techniques.
Purpose of the Study:
- To evaluate Time Domain Reflectometry (TDR) as a method for non-destructively assessing dry-cured ham quality.
- To develop predictive models for salt, water, fat content, and water activity (a(w)) using TDR.
Main Methods:
- Utilized a TDR device with an open-ended coaxial line sensor to measure ham samples.
- Employed Partial Least Squares Regression (PLSR) analysis to build predictive models.
- Analyzed samples with varying salt, water, and fat compositions.
Main Results:
- Accurate predictions for salt content (RMSEV=0.22%), water content (RMSEV=1.67%), and water activity (a(w), RMSEV=0.0087).
- Fat content prediction showed lower precision (RMSEV=2.81%).
- Prediction accuracy was not significantly impacted by saltiness, dryness, or fatness within the tested ranges.
Conclusions:
- TDR is a viable and accurate tool for the real-time characterization and classification of dry-cured ham.
- The developed PLSR models demonstrate TDR's utility for quality control in the food industry.
