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

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.