Partial least squares regression analysis of natural gas-like mixtures absorption spectra collected using a mid-infrared supercontinuum broadband source
Year: 2025
Type: article
Abstract: We report on a broadband gas sensor based on direct absorption spectroscopy in the mid-infrared range for the simultaneous detection of methane, ethane, and propane in natural gas-like mixtures. The system employs a broadband supercontinuum light source, coupled with an absorption cell and an optical spectrum analyzer with a resolution of 0.5 cm -1 . This configuration enables reconstruction of the full absorption bands of the target alkanes, which exhibit significant spectral overlap in the 2.8-3.2 μm spectral region. A comparative study between multiple linear regression (MLR) and partial least-squares regression (PLSR) was conducted to determine the concentration of each individual component. The results highlight the superior performance of PLSR in the presence of unbalanced concentration ratios (1:10) among the three alkanes, achieving mean prediction accuracy of 98%, 93% and 94% for methane, ethane, and propane, respectively.
Source: Optics Express
DOI: 10.1364/oe.568700
Institutions: Polytechnic University of Bari, Shanxi University
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,270
Award: G1648780019
OpenAlex ID: W4413303312
