Graphene oxide nanoparticle-infused metamaterial sensor for low permittivity characterization

Accurate characterization of low-permittivity materials is essential for advancing high-frequency electronics, novel substrates, and microwave sensing systems. However, conventional methods often suffer from bulkiness, limited sensitivity, or complex measurement processes. To overcome these limitations, an innovative graphene oxide nanoparticle-infused metamaterial sensor specifically engineered for low-permittivity detection. The sensor comprises a hybrid circular and square split-ring resonator (SRRs) fabricated using 0.035 mm conductive copper tape on a graphene oxide substrate, enabling tunable resistive properties and enhanced electromagnetic confinement. The sensor is experimentally measured in an X-band waveguide system with TRL calibration from 8 to 10 GHz. The sensor exhibits a strong agreement between simulated and measured S21 responses, with a resonance shift from 8.592 GHz (ε = 1) to 8.36 GHz (ε = 3.66), and a relative error consistently below 1 %. Effective medium analysis reveals that the metamaterial exhibits negative permittivity (ε < 0) and permeability (μ< 0) at resonance, confirming its left-handed metamaterial behavior. The surface current, electric field, and magnetic field distributions show strong localization at the resonator gaps, contributing to enhanced sensing performance. A linear regression model between dielectric constant and resonance frequency shift (Δf) is developed with a coefficient of determination R2 = 0.908, and the derived model exhibits a maximum absolute error under 2 %. The measured sensitivity reached up to 140.3 MHz/Δε for ε = 1.57, demonstrating superior performance in low-ε characterization compared to traditional sensors. The combination of metamaterial-inspired resonance behavior, tunable graphene conductivity, and analytical modeling enables this sensor to serve as an efficient, low-cost, and highly sensitive platform for dielectric characterization.

Authors

Publication Details

Journal
Journal of Science Advanced Materials and Devices
Published
2026-01-15
DOI
https://doi.org/10.1016/j.jsamd.2026.101101
Primary Topic
Microwave and Dielectric Measurement Techniques
Type
article
Field-Weighted Citation Impact
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article

Graphene oxide nanoparticle-infused metamaterial sensor for low permittivity characterization

Md. Touhidul Alam, Mohamed Ouda, Mandeep Singh, Abdulmajeed M. Alenezi et al.
Journal of Science Advanced Materials and Devices
Microwave and Dielectric Measurement Techniques
article

Graphene oxide nanoparticle-infused metamaterial sensor for low permittivity characterization

Md. Touhidul Alam, Mohamed Ouda, Mandeep Singh, Abdulmajeed M. Alenezi, Mohamad A. Alawad, Mohammad Tariqul Islam, Md.Bakey Billa
article en

Abstract

Accurate characterization of low-permittivity materials is essential for advancing high-frequency electronics, novel substrates, and microwave sensing systems. However, conventional methods often suffer from bulkiness, limited sensitivity, or complex measurement processes. To overcome these limitations, an innovative graphene oxide nanoparticle-infused metamaterial sensor specifically engineered for low-permittivity detection. The sensor comprises a hybrid circular and square split-ring resonator (SRRs) fabricated using 0.035 mm conductive copper tape on a graphene oxide substrate, enabling tunable resistive properties and enhanced electromagnetic confinement. The sensor is experimentally measured in an X-band waveguide system with TRL calibration from 8 to 10 GHz. The sensor exhibits a strong agreement between simulated and measured S21 responses, with a resonance shift from 8.592 GHz (ε = 1) to 8.36 GHz (ε = 3.66), and a relative error consistently below 1 %. Effective medium analysis reveals that the metamaterial exhibits negative permittivity (ε < 0) and permeability (μ< 0) at resonance, confirming its left-handed metamaterial behavior. The surface current, electric field, and magnetic field distributions show strong localization at the resonator gaps, contributing to enhanced sensing performance. A linear regression model between dielectric constant and resonance frequency shift (Δf) is developed with a coefficient of determination R2 = 0.908, and the derived model exhibits a maximum absolute error under 2 %. The measured sensitivity reached up to 140.3 MHz/Δε for ε = 1.57, demonstrating superior performance in low-ε characterization compared to traditional sensors. The combination of metamaterial-inspired resonance behavior, tunable graphene conductivity, and analytical modeling enables this sensor to serve as an efficient, low-cost, and highly sensitive platform for dielectric characterization.

Journal of Science Advanced Materials and DevicesVol. 11(1)
Openalex Percentile: Top 87%
Microwave and Dielectric Measurement Techniques
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