基于伪局域表面等离子体增强腔天线的一氧化碳气体微波检测

Wang Meng, Xu Wenjie, Sun Shitao

Wuxi Campus, Southeast University, Wuxi 214127, China.

State Key Laboratory of Millimeter Waves, School of Information Science and Engineering, Southeast University, Nanjing 210096, China.

Micromachines (Basel). 2025 Jul 2;16(7):790. doi: 10.3390/mi16070790.

This paper presents a carbon monoxide (CO) detection mechanism achieved through further improvement of the sensing antenna based on hybrid spoof localized surface plasmons (SLSPs) and cavity resonance. Unlike conventional approaches relying on chemical reactions or photoelectric effects, the all-metal configuration detects dielectric variations through microwave-regime resonance frequency shifts, enabling CO/air differentiation with theoretically enhanced robustness and environmental adaptability. The designed system achieves measured figures of merit (FoMs) of 183.2 RIU, resolving gases with dielectric contrast below 0.1%. Experimental validation successfully discriminated CO (ε = 1.00262) from air (ε = 1.00054) under standard atmospheric pressure at 18 °C.

本文提出了一种基于混合型虚拟局域表面等离子体（SLSP）和腔共振的传感天线进一步改进实现的一氧化碳（CO）检测机制。与依赖化学反应或光电效应的传统方法不同，全金属结构通过微波频段共振频率偏移来检测介电变化，从而实现CO/空气区分，理论上具有更高的鲁棒性和环境适应性。所设计的系统实现了183.2 RIU的实测品质因数（FoM），能够分辨介电对比度低于0.1%的气体。实验验证成功在18℃标准大气压下区分了CO（ε = 1.00262）和空气（ε = 1.00054）。