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Updated: Jun 10, 2026

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Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
Published on: June 12, 2016
[Research on fiber methane sensing system based on prism gas cell]
Xi-Jun Wu1, Yu-Tian Wang, Xue-Cai Liu
1Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao 066004, China. WUXijun@ysu.edu.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|August 3, 2010
Summary
A new fiber methane detection system utilizes a prism gas cell and harmonic detection for broad-range concentration monitoring. This innovative system offers adjustable sensitivity for diverse applications, including coal mines and natural gas pipelines.
Area of Science:
- Optical sensing
- Gas spectroscopy
- Methane detection
Context:
- Accurate methane detection is crucial for safety in industries like coal mining and natural gas transport.
- Existing detection methods may have limitations in range, sensitivity, or adaptability to various environments.
- Fiber-based sensing offers advantages in remote and potentially hazardous area monitoring.
Purpose:
- To develop and validate a novel fiber methane detection system.
- To achieve broad-range concentration detection (0-20%) of methane.
- To demonstrate the system's stability, dynamic response, and adjustable sensitivity.
Summary:
- A fiber methane detection system was engineered by integrating a prism gas cell with a harmonic detection technique.
- The system employs the Beer-Lambert approximation, using a tunable diode laser and the R5 line of methane's 2v3 band for detection.
- Real-time testing validated linear response, stability, and dynamic characteristics, with adjustable sensitivity via a step motor-controlled prism.
Impact:
- The system provides a versatile and adaptable solution for methane monitoring across various concentration levels.
- It can be deployed as a reliable instrument in critical environments such as coalmine tunnels and natural gas pipelines.
- This technology enhances safety and operational efficiency through precise, real-time methane level assessment.
