A dual-band gas sensing metastructure based on CPA for H2 production with SO2 oxidation reaction

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-02-06 DOI:10.1016/j.measurement.2025.116965

Jia-Hao Zou , Jun-Yang Sui , Ting-Shuo Yao , Hai-Feng Zhang

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Abstract

This paper presents a high-resolution dual-band gas sensing metastructure (GSM) based on coherent perfect absorptivity (CPA), designed for the concentration detection of hydrogen (H₂) and sulfur dioxide (SO₂). By establishing a linear relationship between the frequency shift of the absorptivity peak (AP) and the refractive index variation caused by gas concentration changes, the system simplifies the detection of environmental signals into linear photoelectric signals. Utilizing CPA, the GSM achieves dual-mode sensing for H₂ and SO₂ in different sensitivities through phase control. For H₂ concentration sensing, the two modes exhibit sensitivities of 8.84 THz/RIU and 2.3 THz/RIU, respectively. For SO₂, the sensitivities are 46.8 THz/RIU and 17.76 THz/RIU. Moreover, for the sensing of both gases, excellent sensing performance can be achieved (high-quality factor is larger than 8.0 × 10⁴ and detection limit is less than 2 × 10^-7 RIU). This combining CPA dual-band GSM, offers enhanced accuracy compared with single-band sensors, and provides a promising advancement for future measurement technologies.

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.