Dr. Xinnan Wu Profile

Dr. Xinnan Wu

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Proceedings Article | 6 November 2023 Paper

Performance improvement of light-induced thermoelastic spectroscopy gas detection system

Xiaomeng Du, Qinduan Zhang, Yubin Wei, Haifeng Liu, Yuheng Li, Qizhen Yang, Tingting Zhang, Xinnan Wu, Yanran Li, Yanfang Li

Proceedings Volume 12921, 129212M (2023) https://doi.org/10.1117/12.2690919

KEYWORDS: Beam path, Signal detection, Light absorption, Signal generators, Thermoelasticity, Sensors, Optical gas detection, Modulation, Gas sensors, Fiber lasers

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In recent years, gas sensors are widely used in military and civilian fields. Light-Induced Thermoelastic Spectroscopy (LITES) plays an important role in trace gas sensing. This paper focuses on our recent work to improve the performance of the LITES gas detection system. Firstly, a LITES gas detection system based on a novel QTF-self-difference technique was proposed. The Distributed Feedback Laser Diode (DFB-LD) was internally driven by a low-frequency scanning signal and externally modulated by a high-frequency modulated signal using an Acousto-Optic Modulator (AOM). The output laser was divided into two laser beams by a fiber coupler and irradiated from both sides of the QTF, and the signal was measured using the light-induced thermoelastic properties of the QTF. The results showed that the system can reduce the noise of the LITES system and has a good linear response. Secondly, a long-path LITES gas sensor using a high-power Q-switched fiber laser was reported. The LITES gas detection system signal was enhanced by increasing the laser power and absorption optical path. The sensor achieved a Minimum Detection Limit (MDL) of 6.1 ppb at the integration time of 48 s. Finally, a comprehensive dual-spectroscopy detection technique based on LITES and Quartz-Enhanced Photoacoustic Spectroscopy (QEPAS) using a quartz tuning fork was demonstrated. The system utilized a dual-spectrum detection structure to enhance the detection sensitivity. The system was tested for C₂H₂, and the results showed that the system has superior detection performance compared to conventional detection systems.

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