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Quantum Cascade Laser-Based Photoacoustic Spectroscopy for Trace Vapor Detection and Molecular Discrimination

机译:基于量子级联激光的光声光谱技术用于痕量蒸汽检测和分子鉴别

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摘要

We report on the development of a microelectromechanical systems (MEMS)-scale photoacoustic sensor for the detection of trace gases. A mid-infrared quantum cascade laser (QCL) was used to determine detection limits for acetic acid, acetone, 1,4-dioxane, and vinyl acetate. The source was continuously tunable from 1015 cm−1 to 1240 cm−1, allowing for the collection of photoacoustic vibrational spectra for these gases. Exceptional agreement between the measured photoacoustic spectra and the infrared spectra for acetic acid, acetone, 1,4-dioxane, and vinyl acetate was observed. Partial least-squares (PLS) regression was used to develop an algorithm for classification of these compounds based solely on photoacoustic spectra.
机译:我们报告了用于检测痕量气体的微机电系统(MEMS)规模的光声传感器的发展。使用中红外量子级联激光器(QCL)来确定乙酸,丙酮,1,4-二恶烷和乙酸乙烯酯的检测限。该源可从1015 cm -1 连续可调到1240 cm -1 ,从而可以收集这些气体的光声振动光谱。观察到乙酸,丙酮,1,4-二恶烷和乙酸乙烯酯的光声光谱与红外光谱之间的异常一致性。偏最小二乘(PLS)回归用于开发仅基于光声光谱对这些化合物进行分类的算法。

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