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Multi-species sensing using multi-mode absorption spectroscopy with mid-infrared interband cascade lasers

机译:使用多模式吸收光谱技术结合中红外带间级联激光器进行多物种传感

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Multi-mode absorption spectroscopy, MUMAS,1,2,3 is a technique that allows simultaneous multi-species gas sensing with compact, robust, simple and relatively inexpensive laser sources. It provides wider spectral coverage than is afforded by traditional TDLAS, (tunable diode laser absorption spectroscopy), is simpler and less expensive than fs-comb methods since it does not require complex laser systems nor high resolution dispersive optics or complex electronics required for heterodyning methods. A MUMAS signal is generated by measuring the temporal variation in total transmitted intensity as the modes are scanned in frequency over the inter-mode frequency interval, Δνmode. A change in transmitted intensity, relative to the incident intensity, is recorded whenever any of the modes, during their scan across Δνmode, comes into resonance with an absorption line in the spectrum of the gas. The signal, therefore, consists of a superposition of single mode scans, one for each mode lying within the spectral range of the laser output, Δνband. The resulting signal is characteristic of the absorbing species probed by the particular multi-mode laser used. The signal can also be modelled if the spectral locations of the absorption lines are available from a suitable database such as HITRAN,4 and the laser mode parameters are also known. By fitting the modelled MUMAS signature to the experimental data, using the gas concentrations as fit parameters, the absolute and relative concentrations can be determined.
机译:MUMAS,1,2,3是一种多模式吸收光谱技术,它允许使用紧凑,坚固,简单且相对便宜的激光源同时进行多种气体的传感。与传统的TDLAS(可调二极管激光吸收光谱法)相比,它提供的光谱范围更广,比fs-comb方法更简单且成本更低,因为它不需要复杂的激光系统,高分辨率的色散光学器件或杂化方法所需的复杂电子器件。通过在模式间频率间隔Δνmode上对模式进行频率扫描时,通过测量总发射强度的时间变化来生成MUMAS信号。每当任何模式在其跨Δνmode的扫描过程中与气体光谱中的吸收线发生共振时,就会记录透射强度相对于入射强度的变化。因此,该信号由单模扫描的叠加组成,每个模扫描的叠加都在激光输出Δνband的光谱范围内。所产生的信号是所使用的特定多模激光器探测到的吸收物质的特征。如果可以从合适的数据库(例如HITRAN,4)获得吸收线的光谱位置,并且也知道激光模式参数,则可以对信号进行建模。通过将建模的MUMAS签名拟合到实验数据,使用气体浓度作为拟合参数,可以确定绝对浓度和相对浓度。

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