Yang Jinghao, Lin Pao Tai
Opt Express. 2019 Sep 16;27(19):26512-26522. doi: 10.1364/OE.27.026512.
Real-time gas mixture analysis has been demonstrated using various linear variable filter (LVF)-enabled mid-infrared (mid-IR) visualizations. Due to the characteristic absorptions of different gases, the algorithm-enabled sensing method has the ability to detect multi-component gas mixtures noninvasively. The proposed system consisted of a broadband light source, a gas mixing and delivery chamber made by polydimethylsiloxane (PDMS), a LVF, and a real-time monitoring mid-IR camera. The system performance was evaluated by detecting CH and CH at their characteristic C-H absorptions from λ = 3.0 to 3.5 µm. A fast and accurate identification of gas samples was achieved. Therefore, our real-time and non-destructive gas analysis system enables a new visualization technology for environmental monitoring and industrial measurement.
使用各种基于线性可变滤波器（LVF）的中红外（mid-IR）可视化技术已实现实时气体混合物分析。由于不同气体的特征吸收，基于算法的传感方法能够无创检测多组分气体混合物。所提出的系统由一个宽带光源、一个由聚二甲基硅氧烷（PDMS）制成的气体混合与输送腔室、一个LVF和一个实时监测中红外相机组成。通过在λ = 3.0至3.5 µm的特征C-H吸收处检测CH和CH来评估系统性能。实现了对气体样品的快速准确识别。因此，我们的实时无损气体分析系统为环境监测和工业测量带来了一种新的可视化技术。
