The PolySense team has just published a new article on Photoacoustics Journal Elsevier (IF 7.9) reporting on a comparative analysis of two different approaches developed to deal with molecular relaxation in photoacoustic spectroscopy. The first method employs a statistical analysis based on partial least squares regression, while the second method relies on the development of a digital twin of the photoacoustic sensor based on the theoretical modelling of the occurring relaxations. Methane detection within a gas matrix of synthetic air with variable humidity level is selected as case study. The results achieved employing the detection techniques demonstrated the possibility to efficiently retrieve the target gas concentrations with accuracy > 95 % even in the case of strong influence of relaxation effects.
The following link provides access to the article:
http://polysense.poliba.it/wp-content/uploads/2023/10/2023-PLSR-and-DT-for-CH4-detection_QEPAS.pdf
