Sustainable resistive and capacitive-mode electromagnetic temperature sensing using recyclable composite-loaded lossy transmission lines toward full circularity

Functional materials are typically employed as either capacitive- or resistive-mode sensors. Here, we present a radio frequency electromagnetic temperature-sensing approach based on functional material-loaded lossy transmission lines. The functional material consists of a polydimethylsiloxane–carbon fiber (PDMS–CF) thermistor composite embedded within a coplanar waveguide, filling a gap in the signal line. The composite bridges the signal line, forming a lossy section whose transmission magnitude depends on both the permittivity and conductivity of the sensing material. The proposed configuration, therefore, establishes a direct relationship between the composite’s permittivity and conductivity and the transmission coefficient of the sensor. The PDMS–CF-loaded sensor exhibits a resistance-dominated response in the lower temperature range (below 125 °C) and a capacitance-dominated response in the higher temperature range (above 125 °C). Each temperature region is modeled using a piecewise linear fit, enabling temperature to be determined from the measured S-parameters across the full frequency span of a vector network analyzer (VNA). A simplified sensing platform is demonstrated using a portable, open-source data-acquisition system (nanoVNA), with performance validated against a traceable benchtop VNA under periodic thermal cycling. Finally, we demonstrate a fully circular sensor architecture based on liquid-metal (Galinstan) conductors embedded in 3D-printed channels, providing a viable route for recycling both the conductive elements and the sensing material.

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Publication Details

Journal
APL Materials
Published
2026-09-01
DOI
https://doi.org/10.1063/5.0346113
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
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article

Sustainable resistive and capacitive-mode electromagnetic temperature sensing using recyclable composite-loaded lossy transmission lines toward full circularity

Xiaochuan Fang, Benjamin King, Mahmoud Wagih
APL Materials
Smart Materials for Construction
article

Sustainable resistive and capacitive-mode electromagnetic temperature sensing using recyclable composite-loaded lossy transmission lines toward full circularity

Xiaochuan Fang, Benjamin King, Mahmoud Wagih
article en

Abstract

Functional materials are typically employed as either capacitive- or resistive-mode sensors. Here, we present a radio frequency electromagnetic temperature-sensing approach based on functional material-loaded lossy transmission lines. The functional material consists of a polydimethylsiloxane–carbon fiber (PDMS–CF) thermistor composite embedded within a coplanar waveguide, filling a gap in the signal line. The composite bridges the signal line, forming a lossy section whose transmission magnitude depends on both the permittivity and conductivity of the sensing material. The proposed configuration, therefore, establishes a direct relationship between the composite’s permittivity and conductivity and the transmission coefficient of the sensor. The PDMS–CF-loaded sensor exhibits a resistance-dominated response in the lower temperature range (below 125 °C) and a capacitance-dominated response in the higher temperature range (above 125 °C). Each temperature region is modeled using a piecewise linear fit, enabling temperature to be determined from the measured S-parameters across the full frequency span of a vector network analyzer (VNA). A simplified sensing platform is demonstrated using a portable, open-source data-acquisition system (nanoVNA), with performance validated against a traceable benchtop VNA under periodic thermal cycling. Finally, we demonstrate a fully circular sensor architecture based on liquid-metal (Galinstan) conductors embedded in 3D-printed channels, providing a viable route for recycling both the conductive elements and the sensing material.

APL MaterialsVol. 14(9)
University of Glasgow (GB)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 21%
Smart Materials for Construction
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