Fast step heterodyne light-induced thermoelastic spectroscopy gas sensing based on a quartz tuning fork with high-frequency of 100 kHz
基于100 kHz高频石英音叉的快速步进外差光诱导热弹性光谱气体传感
高速ステップヘテロダイン光誘起熱弾性分光法を用いたガスセンシング:100 kHzの高周波数を有する石英音叉に基づく
100kHz 고주파를 갖는 석영 튜닝 포크를 기반으로 한 고속 스텝 헤테로다인 광 유도 열탄성 분광법 가스 감지
Detección de gases mediante espectroscopía termoelástica heterodina de paso rápido inducida por luz basada en una rama de cuarzo con alta frecuencia de 100 kHz
Détection de gaz par spectroscopie thermoélastique à hétérodyne induite par la lumière à pas rapide, basée sur un pinceau quartz à haute fréquence de 100 kHz
Быстрый шаг гетеродинный термоупругий спектроскопический газовый сенсор на основе кварцевого настрочного пьезосвистка с высокой частотой 100 кГц
Yuanzhi Wang 王元治 ¹ ², Ying He 何应 ¹, Shunda Qiao 乔顺达 ¹, Xiaonan Liu 刘晓楠 ¹ ², Chu Zhang 张楚 ¹ ², Xiaoming Duan 段小明 ¹, Yufei Ma 马欲飞 ¹ ²
¹ National Key Laboratory of Laser Spatial Information, Harbin Institute of Technology, Harbin 150000 China
中国 哈尔滨 哈尔滨工业大学激光空间信息全国重点实验室
² Zhengzhou Research Institute, Harbin Institute of Technology, Zhengzhou 450000, China
中国 郑州 哈尔滨工业大学郑州研究院
In this paper, a fast step heterodyne light-induced thermoelastic spectroscopy (SH-LITES) sensor using a high-frequency quartz tuning fork (QTF) with resonant frequency of ~100 kHz is reported for the first time. The theoretical principle of heterodyne LITES (H-LITES) signal generation is analyzed firstly, and an acetylene (C2H2) H-LITES sensor is established to verify its performance.
Experimental comparisons between the high-frequency QTF and a standard commercial QTF with resonant frequency of ~32.768 kHz reveal that the high-frequency QTF exhibits a tenfold faster response time. Specifically, the H-LITES sensor with this QTF achieves a 33 ms measurement cycle, 90% shorter than commercial counterparts. Furthermore, The SH-LITES technique is proposed to further shorten the scanning time to 15 ms, which achieves the shortest LITES measurement time known to date.
To demonstrate its advantages in dynamic gas detection, an H2O-LITES system integrating both QTF types is constructed for real-time monitoring of H2O concentration during different respiration patterns. Comparative measurements show that the SH-LITES more accurately captures dynamic H2O concentration fluctuations during respiration, outperforming the commercial QTF-based H-LITES sensor in rapid response scenarios.