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利用多通气体池装置通过傅里叶变换红外光谱法对空气中挥发性有机化合物进行高灵敏度监测。

High Sensitivity Monitoring of VOCs in Air through FTIR Spectroscopy Using a Multipass Gas Cell Setup.

机构信息

National Institute for Nuclear Physics Laboratori Nazionali Frascati (INFN-LNF), Via E. Fermi 54, 00044 Frascati, Italy.

Department of Physics, University of Rome 'La Sapienza', P.le A. Moro 2, 00185 Rome, Italy.

出版信息

Sensors (Basel). 2022 Jul 27;22(15):5624. doi: 10.3390/s22155624.

Abstract

Human exposure to Volatile Organic Compounds (VOCs) and their presence in indoor and working environments is recognized as a serious health risk, causing impairments of varying severities. Different detecting systems able to monitor VOCs are available in the market; however, they have significant limitations for both sensitivity and chemical discrimination capability. During the last years we studied systematically the use of Fourier Transform Infrared (FTIR) spectroscopy as an alternative, powerful tool for quantifying VOCs in air. We calibrated the method for a set of compounds (styrene, acetone, ethanol and isopropanol) by using both laboratory and portable infrared spectrometers. The aim was to develop a new, and highly sensitive sensor system for VOCs monitoring. In this paper, we improved the setup performance, testing the feasibility of using a multipass cell with the aim of extending the sensitivity of our system down to the part per million (ppm) level. Considering that multipass cells are now also available for portable instruments, this study opens the road for the design of new high-resolution devices for environmental monitoring.

摘要

人类接触挥发性有机化合物 (VOCs) 及其在室内和工作环境中的存在被认为是严重的健康风险,会导致不同程度的损伤。市场上有不同的能够监测 VOCs 的检测系统;然而,它们在灵敏度和化学分辨能力方面都有很大的局限性。在过去的几年中,我们系统地研究了傅里叶变换红外 (FTIR) 光谱作为一种替代方法,用于定量空气中 VOCs 的强大工具。我们使用实验室和便携式红外光谱仪对一组化合物(苯乙烯、丙酮、乙醇和异丙醇)进行了校准。目的是开发一种新的、高灵敏度的 VOCs 监测传感器系统。在本文中,我们改进了设置性能,测试了使用多通池的可行性,旨在将我们系统的灵敏度扩展到百万分之几 (ppm) 水平。考虑到多通池现在也可用于便携式仪器,这项研究为设计用于环境监测的新的高分辨率设备开辟了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f25b/9370991/1e564aef0f41/sensors-22-05624-g001.jpg

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