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Large-Area Conductor-Loaded PDMS Flexible Composites for Wireless and Chipless Electromagnetic Multiplexed
Benjamin King1, Nikolas Bruce1, Mahmoud Wagih1
1James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|January 28, 2025
Summary
New capacitive dielectric temperature sensors using polydimethylsiloxane (PDMS) and conductive fillers show enhanced sensitivity. These wireless sensors offer a scalable solution for spatial temperature detection.
Area of Science:
- Materials Science
- Electrical Engineering
- Sensor Technology
Background:
- Capacitive dielectric sensors offer potential for temperature monitoring.
- Polydimethylsiloxane (PDMS) is a versatile polymer for sensor fabrication.
- Conductive fillers can enhance the dielectric properties of polymers.
Purpose of the Study:
- To develop and characterize novel capacitive dielectric temperature sensors.
- To investigate the performance of PDMS-based sensors with conductive fillers.
- To demonstrate a wireless sensing platform for remote temperature detection.
Main Methods:
- Fabrication of PDMS-based capacitive sensors with copper, graphite, and milled carbon fiber fillers.
- Testing sensor response across a temperature range of 20-110 °C and frequencies of 0.5-200 MHz.
- Interrogation of sensors using wirelessly coupled chipless resonant coils and a NanoVNA.
Main Results:
- PDMS-CF capacitors exhibited enhanced sensitivity between 20-60 °C, with a relative response of 85.5% at 200 MHz.
- The wireless sensing platform demonstrated an average sensitivity of 0.38% °C⁻¹, a 40x improvement over pristine PDMS.
- The system showed good agreement with VNA measurements, stable performance across distances and humidity, and a scalable multiplexed array.
Conclusions:
- PDMS-CF composite materials are effective for developing sensitive capacitive dielectric temperature sensors.
- The developed wireless sensing platform provides a low-cost, portable, and high-performance solution for temperature monitoring.
- The technology enables scalable, multiplexed spatial temperature detection with a reversible dynamic response.

