论文标题
敏感的多种物种的光声气体检测基于中红外超脑源和微型多通用电池
Sensitive multi-species photoacoustic gas detection based on mid-infrared supercontinuum source and miniature multipass cell
论文作者
论文摘要
我们报告了中红外痕量气体的多通宽带光声光谱。传感器的测量原理依赖于基于超脑的傅立叶变换光声光谱法（FT-PAS），其中扫描干涉仪调节了中红外超脑光源的强度，并用悬臂麦微微音被用来用于敏感的光子检测。使用定制的外部Herriott细胞，超脑束通过微型和声学非共振气体传播了十倍。通过测量各种碳氢化合物的基本C-H弹力带来证明FT-PAS系统的性能。对于甲烷的噪声当量检测极限（40 s平均时间为15 $ $ $ w/cm $ $^{ - 1} $入射功率谱密度，4 cm $ $^{ - 1} $分辨率），与以前的FT-PAS最佳最佳FT-PAS系统相比，这是12倍。传感器的高线性和良好的稳定性为具有强频谱重叠的气体混合物提供了可靠的单个物种，为小样品体积奠定了敏感和选择性的多种物种检测的基础。
We report multipass broadband photoacoustic spectroscopy of trace gases in the mid-infrared. The measurement principle of the sensor relies on supercontinuum-based Fourier transform photoacoustic spectroscopy (FT-PAS), in which a scanning interferometer modulates the intensity of a mid-infrared supercontinuum light source and a cantilever microphone is employed for sensitive photoacoustic detection. With a custom-built external Herriott cell, the supercontinuum beam propagates ten times through a miniature and acoustically non-resonant gas cell. The performance of the FT-PAS system is demonstrated by measuring the fundamental C-H stretch bands of various hydrocarbons. A noise equivalent detection limit of 11 ppb is obtained for methane (40 s averaging time, 15 $μ$W/cm$^{-1}$ incident power spectral density, 4 cm$^{-1}$ resolution), which is an improvement by a factor of 12 compared to the best previous FT-PAS systems. High linearity and good stability of the sensor provide reliable identification of individual species from a gas mixture with strong spectral overlap, laying the foundation for sensitive and selective multi-species detection in small sample volumes.
