Laser & Optoelectronics Progress, Volume. 60, Issue 1, 0128001(2023)

CO Sensor Based on Co-TCPP Coating Thin-Core Fiber

Lian Wang1, Yuhao Chen2,3, Jing Shi2,3, and Xiaozhan Yang2,3、*
Author Affiliations
  • 1Guangzhou Special Pressure Equipment Inspection and Research Institute, Guangzhou 510663, Guangdong , China
  • 2School of Science, Chongqing University of Technology, Chongqing 400054, China
  • 3Chongqing Key Laboratory of Green Energy Materials Technology and Systems, Chongqing 400054, China
  • show less

    A Mach-Zehnder-structured CO sensor based on Co-tetrakis(4-carboxy- phenyl) porphyrin (Co-TCPP) metal-organic framework is proposed in this study. In the sensing structure, a thick taper is fused between two sections of thin-core optical fiber and between the thin-core fiber and the single-mode fiber, and Co-TCPP is coated on the thin-core fiber's surface. The nanosheet-like morphology and porous microstructure of Co-TCPP make the sensor not only easy to adhere to the fiber but also have a strong adsorption capacity for CO. The structure, morphology, and properties of the sensitive material Co-TCPP are characterized and analyzed by X-ray diffraction, scanning electron microscopy, infrared spectroscopy, and thermogravimetric analysis. The findings demonstrate that the sensor's sensitivity to CO mass fraction is 0.0497 dB/10-6, the fitting degree to mass fraction-light intensity is as high as 0.99148, and the response time is around 120 s when the CO mass fraction is 40 × 10-6, and it has good selectivity and time stability to CO.

    Tools

    Get Citation

    Copy Citation Text

    Lian Wang, Yuhao Chen, Jing Shi, Xiaozhan Yang. CO Sensor Based on Co-TCPP Coating Thin-Core Fiber[J]. Laser & Optoelectronics Progress, 2023, 60(1): 0128001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Oct. 20, 2021

    Accepted: Dec. 13, 2021

    Published Online: Dec. 9, 2022

    The Author Email: Yang Xiaozhan (xiaozhan0107@126.com)

    DOI:10.3788/LOP212772

    Topics