High-accuracy photoacoustic gas sensor enabled by deep learning-based concentration inversion from full waveforms

Photoacoustics 2026 Open access

Read full text
Authors: Pengbo Chen, Mingyang Feng, Mu Liang, Qianwen Wang, Yingying Qiao, Mingqi Jiao, Lei Li, Chongxin Shan
DOI: 10.1016/j.pacs.2026.100868
Cited by: 1
References: 55

Abstract

) of 0.9999; among the noise-augmented evaluation samples, 95.95% exhibited absolute errors below 1 ppm, and 61.8% exhibited relative errors below 1%. This method autonomously extracts concentration information from the full waveform and establishes a complex nonlinear mapping to gas concentration. Furthermore, this framework may provide a strategy for concentration inversion in other gas sensors employing second-harmonic wavelength modulation spectroscopy (WMS-2f) detection.

Fields of Study & Subjects

Spectroscopy and Laser Applications Photoacoustic and Ultrasonic Imaging Thermography and Photoacoustic Techniques

Publication details

Journal / source
Photoacoustics
Publisher
Elsevier BV
Volume
51
Pages
100868–100868
Publication date
14 August 2026
Language
EN