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article · AIP Advances

AI enhanced metasurface sensor design for ultra-sensitive terahertz gas detection using 2D materials

202525 citationsOpen accessBeni Suef University

In plain language

A new metasurface sensor design combines two-dimensional materials, specifically graphene, copper, and MXene, to enable sensitive and selective gas detection within the terahertz spectrum. The architecture consists of an inner circular resonator, an outer square ring resonator optimised for plasmonic modes, and a gold-coated circular ring designed to boost detection performance. Evaluated through computer modelling and simulations, the sensor demonstrates a peak sensitivity reaching 800 GHz per refractive index unit alongside dependable performance across varying gas concentrations. In addition, polynomial regression models were employed to connect the physical design dimensions directly to sensing outcomes, achieving an R-squared value of 1.00. This configuration provides a theoretical foundation for responsive gas sensing tools suited for industrial safety, healthcare diagnostics, and environmental monitoring applications.

Key takeaways

  • The metasurface sensor incorporates graphene, copper, and MXene to detect gases using terahertz frequencies.
  • The structure combines a central circular resonator, a square ring resonator, and a gold-coated ring to enhance plasmonic detection.
  • Simulation results show a peak sensitivity of 800 GHz per refractive index unit with stable responses across varying gas concentrations.
  • Polynomial regression models predicted the link between structural parameters and detection performance with an R-squared value of 1.00.

Why it matters

Reliable and highly sensitive gas detection is vital for monitoring pollutants, maintaining safe industrial environments, and identifying medical biomarkers. Designing sensors with advanced two-dimensional materials and terahertz radiation offers a route to pinpoint minute traces of gases accurately. Using computational models and regression analysis accelerates the development of sensor geometries, helping researchers quickly refine devices before moving to physical manufacturing.

Commercialisation angle

The sensor design could enable high-performance detection tools for environmental monitoring, industrial safety managers, and healthcare diagnostics providers. Because the findings rely entirely on computational modelling and simulation, the technology remains at an early concept stage. Progress towards commercial use will require physical fabrication of the multi-material metasurface, experimental validation against real gas mixtures, and integration with terahertz instrumentation.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

Recent advancements in gas sensing technologies have significantly enhanced the detection and monitoring of gases across various applications, including environmental protection and industrial safety. This paper presents a novel metasurface-based sensor design that integrates advanced two-dimensional materials, such as graphene, copper, and MXene, to achieve high sensitivity and selectivity in terahertz gas detection. The proposed architecture features a central circular resonator surrounded by a square ring resonator, optimized for plasmonic modes, and an additional gold-coated circular ring to amplify detection capabilities. Through comprehensive modeling and simulation, the sensor’s performance was optimized, demonstrating remarkable sensitivity with a peak value of 800 GHz/RIU and robust responses across various gas concentrations. Moreover, the implementation of polynomial regression models further demonstrates the relationship between structural parameters and detection performance, achieving perfect predictive accuracy (R2 = 1.00). The results indicate that this innovative design not only addresses the growing demand for efficient gas sensing solutions but also sets the stage for future developments in sensor technology, with implications for healthcare diagnostics and environmental monitoring.

Research topics

  • Terahertz technology and applications
  • Spectroscopy and Laser Applications
  • Gas Sensing Nanomaterials and Sensors

Read the original research

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DOI: 10.1063/5.0265295

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