Highly Time-Resolved All-Fiber Sensor for Real-Time Carbon Monoxide Detection and Microleakage Diagnosis
The detection of carbon monoxide (CO) is of paramount importance for environmental monitoring, industrial safety, and public health. This study presents an all-fiber gas concentration monitoring technique based on tunable diode laser absorption spectroscopy (TDLAS), offering low gas consumption, high time resolution, high stability, and high precision. A 1-m-long negative curvature anti-resonant hollow core fiber (HCF) with a core diameter of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$110~\mu $ </tex-math></inline-formula>m is used for both gas containment and optical transmission. Experimental and theoretical simulations confirm that the response time of the system reaches 1.27 s at an overpressure of 98 kPa. Furthermore, the system achieves a relative standard deviation (RSD) of less than 2.5% and a minimum detection limit (MDL) of 0.220 ppm under optimal overpressure conditions. In addition, a spatial-resolved scanning imaging is demonstrated for the CO concentration distribution of 190-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>m leakage point, enabling clear identification of the topographical features. This technology has potential in the fields of environmental monitoring, industrial safety, and public health.
Authors
- Zhaoxian Zhou (ORCID: https://orcid.org/0000-0001-6789-166X)
- Yongkai Wang (ORCID: https://orcid.org/0000-0002-6399-6955)
- Lipeng Zhu (ORCID: https://orcid.org/0009-0004-7628-9709)
- Lei Liang (ORCID: https://orcid.org/0000-0002-5397-0284)
- Bo Hu (ORCID: https://orcid.org/0000-0002-9698-8134)
- Yipeng Zheng (ORCID: https://orcid.org/0000-0001-7690-4450)
- Kaili Ren (ORCID: https://orcid.org/0009-0000-2590-9614)
- Kaiyu Chai
- Dongdong Han (ORCID: https://orcid.org/0000-0002-0373-0610)
Institutions
- Xi’an University of Posts and Telecommunications (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1109/jsen.2025.3546697
- Citations
- 2
- Primary Topic
- Analytical Chemistry and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 1.47
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shaanxi Province