{"title":"用于一氧化碳实时检测和微泄漏诊断的高时间分辨全光纤传感器","authors":"Kaiyu Chai;Yipeng Zheng;Bo Hu;Zihao Zhou;Kaili Ren;Dongdong Han;Lipeng Zhu;Yongkai Wang;Lei Liang","doi":"10.1109/JSEN.2025.3546697","DOIUrl":null,"url":null,"abstract":"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> <tex-math>$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> <tex-math>$\\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.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 8","pages":"13005-13011"},"PeriodicalIF":4.3000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Highly Time-Resolved All-Fiber Sensor for Real-Time Carbon Monoxide Detection and Microleakage Diagnosis\",\"authors\":\"Kaiyu Chai;Yipeng Zheng;Bo Hu;Zihao Zhou;Kaili Ren;Dongdong Han;Lipeng Zhu;Yongkai Wang;Lei Liang\",\"doi\":\"10.1109/JSEN.2025.3546697\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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> <tex-math>$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> <tex-math>$\\\\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.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 8\",\"pages\":\"13005-13011\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10924455/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10924455/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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 $110~\mu $ 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-$\mu $ 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.
期刊介绍:
The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following:
-Sensor Phenomenology, Modelling, and Evaluation
-Sensor Materials, Processing, and Fabrication
-Chemical and Gas Sensors
-Microfluidics and Biosensors
-Optical Sensors
-Physical Sensors: Temperature, Mechanical, Magnetic, and others
-Acoustic and Ultrasonic Sensors
-Sensor Packaging
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-Sensor Systems: Signals, Processing, and Interfaces
-Actuators and Sensor Power Systems
-Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting
-Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data)
-Sensors in Industrial Practice