首页> 外文会议>Conference on Chemical and Biological Sensing V; 20040412-20040413; Orlando,FL; US >Aerosol Collection and Analysis Using Diffuse Reflectance Infrared Spectroscopy
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Aerosol Collection and Analysis Using Diffuse Reflectance Infrared Spectroscopy

机译:漫反射红外光谱法气溶胶收集与分析

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摘要

Infrared spectroscopy is routinely employed for the identification of organic molecules and, more recently, for the classification of biological materials. We have developed a sample collection method that facilitates infrared analysis of airborne particulates using a diffuse reflectance (DR) technique. Efforts are underway to extend the method to include simultaneous analysis of vapor phase organics by using adsorbent substrates compatible with the DR technique. This series of laboratory results provides proof-of-principle for both the sample collection and data collection processes. Signal processing of the DR spectra is shown to provide rapid qualitative identification of representative aerosol materials, including paniculate matter commonly found in the environment. We compare the results for such materials as bacterial spores, pollens and molds, clays and dusts, smoke and soot. Background correction analysis is shown to be useful for differentiation and identification of these constituents. Issues relating to complex mixtures of environmental samples under highly variable conditions are considered. Instrumentation development and materials research are now underway with the aim of constructing a compact sampling system for near real-time monitoring of aerosol and organic pollutants. A miniature, tilt-compensated Fourier transform spectrometer will provide spectroscopic interrogation. A series of advanced digital signal processing methods are also under development to enhance the sensor package. The approach will be useful for industrial applications, chemical and biological agent detection, and environmental monitoring for chemical vapors, hazardous air pollutants, and allergens.
机译:红外光谱法通常用于鉴定有机分子,最近用于生物材料的分类。我们已经开发了一种样品收集方法,该方法可以使用漫反射(DR)技术促进对空气中颗粒物的红外分析。正在努力扩展该方法,使其包括通过使用与DR技术兼容的吸附性底物同时分析气相有机物。这一系列的实验室结果为样品收集和数据收集过程提供了原理证明。 DR光谱的信号处理显示出可以快速定性鉴定代表性气溶胶物质,包括环境中常见的颗粒物质。我们比较了细菌孢子,花粉和霉菌,粘土和粉尘,烟尘和烟灰等材料的结果。研究表明背景校正分析对于区分和鉴定这些成分非常有用。考虑与在高度可变的条件下环境样品的复杂混合物有关的问题。仪器开发和材料研究正在进行中,目的是构建一个紧凑的采样系统,用于近实时监测气溶胶和有机污染物。微型倾斜补偿傅立叶变换光谱仪将提供光谱查询。一系列先进的数字信号处理方法也正在开发中,以增强传感器封装。该方法将可用于工业应用,化学和生物制剂的检测以及化学蒸气,有害空气污染物和过敏原的环境监测。

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