Zheng Kaiyuan, Zheng Chuantao, He Qixin, Yao Dan, Hu Lien, Zhang Yu, Wang Yiding, Tittel Frank K
Opt Express. 2018 Oct 1;26(20):26205-26216. doi: 10.1364/OE.26.026205.
For highly sensitive and accurate acetylene (CH) detection, a near-infrared (NIR) off-axis integrated-cavity output spectroscopy (OA-ICOS) sensor system based on an ultra-compact cage-based absorption cell was proposed. The absorption cell with dimensions of 10 cm × 8 cm × 6 cm realized a dense-pattern and an easily-aligned stable optical system. The OA-ICOS sensor system employed a 6cm-long optical cavity that was formed by two mirrors with a reflectivity of 99.35% and provided an effective absorption path length of ∼9.28 m. The performance of the CH sensor system based on two measurement schemes, i.e. laser direct absorption spectroscopy (LDAS) and wavelength modulation spectroscopy (WMS) is reported. A NIR distributed feedback (DFB) laser was employed for targeting a CH absorption line at 6523.88 cm. An Allan deviation analysis yielded a detection sensitivity of 760 parts-per-billion in volume (ppbv) for an averaging time of 304 s using the LDAS-based OA-ICOS. A detection sensitivity of 85 ppbv for an averaging time of 250 s was obtained using the WMS-based OA-ICOS, which was further improved by a factor of ~9 compared to the result obtained with the LDAS method. The proposed sensor system has the advantages of reduced size and cost with acceptable detection sensitivity, which is suitable for applications in trace gas sensing in harsh environments and weight-limited balloon-embedded observations.
为实现高灵敏度和高精度的乙炔(CH)检测,提出了一种基于超紧凑型笼式吸收池的近红外(NIR)离轴积分腔输出光谱(OA-ICOS)传感器系统。尺寸为10 cm×8 cm×6 cm的吸收池实现了密集模式且易于对准的稳定光学系统。该OA-ICOS传感器系统采用了一个由两个反射率为99.35%的镜子形成的6 cm长的光学腔,有效吸收路径长度约为9.28 m。报道了基于激光直接吸收光谱(LDAS)和波长调制光谱(WMS)这两种测量方案的CH传感器系统的性能。采用近红外分布反馈(DFB)激光器,以6523.88 cm处的CH吸收线为目标。通过 Allan 偏差分析,基于LDAS的OA-ICOS在平均时间为304 s时的检测灵敏度为760体积十亿分之一(ppbv)。基于WMS的OA-ICOS在平均时间为250 s时获得了85 ppbv的检测灵敏度,与LDAS方法得到的结果相比,进一步提高了约9倍。所提出的传感器系统具有体积减小、成本降低且检测灵敏度可接受的优点,适用于恶劣环境中的痕量气体传感和重量受限的气球嵌入式观测应用。