A High-Sensitivity Inkjet-Printed Flexible Resonator for Monitoring Dielectric Changes in Meat

This paper introduces a flexible loop antenna-based sensor optimized for real-time monitoring of meat quality by detecting changes in dielectric properties over a six-day storage period. Operating within the 2.4 GHz ISM band, the sensor is designed using CST Microwave Studio 2024 to deliver high sensitivity and accuracy. The sensing mechanism leverages resonance frequency shifts caused by variations in permittivity as the meat degrades. Experimental validation across five samples showed a consistent frequency shift from 2.14 GHz (Day 0) to 1.29 GHz (Day 5), with an average sensitivity of 0.173GHz/day. A strong correlation was observed between measured and simulated results, as evidenced by linear regression (R2=0.984 and R2=0.974 for measured and simulated data, respectively). The sensor demonstrated high precision and repeatability, validated by low standard deviations and minimal frequency deviations. Compact, printable, and cost-effective, the proposed sensor offers a scalable solution for food quality monitoring. Its robust performance highlights its potential for integration into IoT platforms and extension to other perishable food products, advancing real-time, non-invasive, RF-based food safety technologies.

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Publication Details

Journal
Sensors
Published
2025-02-22
DOI
https://doi.org/10.3390/s25051338
Citations
4
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
4.65

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article

A High-Sensitivity Inkjet-Printed Flexible Resonator for Monitoring Dielectric Changes in Meat

Raúl Fernández‐García, Mariam El Gharbi, Ignacio Gil, Jamal Abounasr
4 citations
Sensors
Food Supply Chain Traceability
4.65
article

A High-Sensitivity Inkjet-Printed Flexible Resonator for Monitoring Dielectric Changes in Meat

Raúl Fernández‐García, Mariam El Gharbi, Ignacio Gil, Jamal Abounasr
article en
4 citations

Abstract

This paper introduces a flexible loop antenna-based sensor optimized for real-time monitoring of meat quality by detecting changes in dielectric properties over a six-day storage period. Operating within the 2.4 GHz ISM band, the sensor is designed using CST Microwave Studio 2024 to deliver high sensitivity and accuracy. The sensing mechanism leverages resonance frequency shifts caused by variations in permittivity as the meat degrades. Experimental validation across five samples showed a consistent frequency shift from 2.14 GHz (Day 0) to 1.29 GHz (Day 5), with an average sensitivity of 0.173GHz/day. A strong correlation was observed between measured and simulated results, as evidenced by linear regression (R2=0.984 and R2=0.974 for measured and simulated data, respectively). The sensor demonstrated high precision and repeatability, validated by low standard deviations and minimal frequency deviations. Compact, printable, and cost-effective, the proposed sensor offers a scalable solution for food quality monitoring. Its robust performance highlights its potential for integration into IoT platforms and extension to other perishable food products, advancing real-time, non-invasive, RF-based food safety technologies.

SensorsVol. 25(5)
Universitat Politècnica de Catalunya (ES)
Agència de Gestió d'Ajuts Universitaris i de Recerca
Zero hunger
Openalex Percentile: Top 7%
Food Supply Chain Traceability
4.65
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