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A highly sensitive TDLAS sensor based on a multi-pass cell with dense four-concentric circle dot pattern: The potential of hydrogen sensing

  • Chuanning Li
  • , Xiaorong Sun
  • , Shunda Qiao
  • , Ying He
  • , Yufei Ma*
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper reports a high-sensitivity tunable diode laser absorption spectroscopy (TDLAS) sensor, utilizing a multi-pass cell (MPC) with a dense four-concentric-circle spot pattern to achieve an extended optical path length (OPL) of 37.8 m. To evaluate the sensor's performance, hydrogen (H2) was chosen as the target gas for measurement. To realize long OPL within a compact structure, we developed a MPC model based on the vector reflection theory and validated its design through simulations. The design attains a ratio of optical path length to volume (RLV) of 13.85 cm−2, effectively overcoming the challenge of weak H2 absorption lines. A 2121.83 nm fiber-coupled continuous-wave distributed feedback (CW-DFB) laser serves as the light source, paired with a custom 3D-printed collimation module enabling automatic optical alignment to streamline experimentation. Further, a dual-hidden-layer shallow neural network (SNN) algorithm reduces spectral noise while preserving signal integrity, eliminating distortion. Before applying spectral noise reduction, the sensing system achieved a minimum detection limit (MDL) of 0.3 % in practical measurements with an integration time of 0.2 s. After algorithm-based noise reduction, the noise level was decreased significantly. These results demonstrate that the innovative MPC design holds strong potential for H2 sensing applications.

Original languageEnglish
Article number138762
JournalSensors and Actuators B: Chemical
Volume446
DOIs
StatePublished - 1 Jan 2026

Keywords

  • Hydrogen (H)
  • Multi-pass cell (MPC)
  • Shallow neural network (SNN)
  • Tunable diode laser absorption spectroscopy (TDLAS)

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