CH4, C2H6, and CO2 Multi-Gas Sensing Based on Portable Mid-Infrared Spectroscopy and PCA-BP Algorithm

Abstract

A multi-gas sensing system was developed based on the detection principle of the non-dispersive infrared (NDIR) method, which used a broad-spectra light source, a tunable Fabry–Pérot (FP) filter detector, and a flexible low-loss infrared waveguide as an absorption cell. CH4, C2H6, and CO2 gases were detected by the system. The concentration of CO2 could be detected directly, and the concentrations of CH4 and C2H6 were detected using a PCA-BP neural network algorithm because of the interference of CH4 and C2H6. The detection limits were achieved to be 2.59 ppm, 926 ppb, and 114 ppb for CH4, C2H6, and CO2 with an averaging time of 429 s, 462 s, and 297 s, respectively. The root mean square error of prediction (RMSEP) of CH4 and C2H6 were 10.97 ppm and 2.00 ppm, respectively. The proposed system and method take full advantage of the multi-component gas measurement capability of the mid-infrared broadband source and achieve a compromise between performance and system cost.

Review on Hollow-Core Fiber Based Multi-Gas Sensing Using Raman Spectroscopy

“…In the realm of fiber optic gas sensing technology, techniques such as the laser absorption spectrometer (LAS), photothermal spectroscopy (PTS), photoacoustic spectroscopy (PAS), and methods based on the Raman spectroscopy occupy the field. With its origins in 1979, the infrared absorption spectroscopy is now widely used for gas identification [10][11][12][13][14]. Gases with different structures have distinct energy levels, leading to the absorption of photons at specific frequencies.…”