Optical Methods of Methane Detection

Author:

Kwaśny Mirosław1ORCID,Bombalska Aneta1ORCID

Affiliation:

1. Institute of Optoelectronics, Military University of Technology, gen. Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland

Abstract

Methane is the most frequently analyzed gas with different concentrations ranging from single ppm or ppb to 100%. There are a wide range of applications for gas sensors including urban uses, industrial uses, rural measurements, and environment monitoring. The most important applications include the measurement of anthropogenic greenhouse gases in the atmosphere and methane leak detection. In this review, we discuss common optical methods used for detecting methane such as non-dispersive infrared (NIR) technology, direct tunable diode spectroscopy (TDLS), cavity ring-down spectroscopy (CRDS), cavity-enhanced absorption spectroscopy (CEAS), lidar techniques, and laser photoacoustic spectroscopy. We also present our own designs of laser methane analyzers for various applications (DIAL, TDLS, NIR).

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference113 articles.

1. Soil gaseous emissions and global climatic change;Bridges;Geography,1996

2. The growing role of methane in anthropogenic climate change;Saunois;Environ. Res. Lett.,2016

3. Interpreting contemporary trends in atmospheric methane;Turner;Proc. Nat. Acad. Sci. USA,2019

4. Detection of methane in the atmosphere of Mars;Formisano;Science,2004

5. Methane excretion in man—A study of breath, flatus, and faeces;McKay;Gut,1985

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