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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. CH 4 , C 2 H 6 , and CO 2 gases were detected by the system. The concentration of CO 2 could be detected directly, and the concentrations of CH 4 and C 2 H 6 were detected using a PCA-BP neural network algorithm because of the interference of CH 4 and C 2 H 6 . The detection limits were achieved to be 2.59 ppm, 926 ppb, and 114 ppb for CH 4 , C 2 H 6 , and CO 2 with an averaging time of 429 s, 462 s, and 297 s, respectively. The root mean square error of prediction (RMSEP) of CH 4 and C 2 H 6 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.

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