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 language | English |
|---|---|
| Article number | 138762 |
| Journal | Sensors and Actuators B: Chemical |
| Volume | 446 |
| DOIs | |
| State | Published - 1 Jan 2026 |
Keywords
- Hydrogen (H)
- Multi-pass cell (MPC)
- Shallow neural network (SNN)
- Tunable diode laser absorption spectroscopy (TDLAS)
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