光谱匹配定量开路傅立叶变换红外光谱

Linda Ingling, Thomas L. Isenhour
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引用次数: 8

摘要

开路傅里叶变换红外光谱(OP-FTIR)提供了一种快速测量环境中挥发性有机化合物(VOCs)浓度的方法。OP-FTIR的优点是数据采集速度快,不需要处理样品。OP-FTIR的定量困难包括由移动光源或仪器引起的光源强度变化,温度的快速变化,被动光源的低强度以及路径条件的变化,如湿度和干扰化合物的存在。这些困难是OP-FTIR定量应用的主要障碍。我们正在开发一种方法,该方法在克服源变异性,获得参考光谱的困难以及无源源的问题方面显示出希望。在不减去背景光谱的情况下,降低分辨率并在方便的参考系统上绘制分析物峰强度图,产生定量曲线。只要未知样品光谱的强度和一般形状与定量曲线的代表性光谱相匹配,这些曲线就可以用于确定未知浓度,准确度为20%。我们使用运行中的汽车发动机和热的汽车引擎盖作为来源确定了未知样品。尚待研究的主要问题是,准确的浓度测定要求定量曲线光谱的温度分布与样品光谱吻合良好。未来的研究将涉及光源温度与光谱形状、光源温度与吸收峰幅度的关系,以及光源到仪器的距离对光谱形状和峰幅度的影响。©1999 John Wiley &儿子,Inc。化学工程学报(英文版),1999
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectral matching quantitative open-path fourier-transform infrared spectroscopy

Open-path Fourier-transform infrared spectroscopy (OP-FTIR) provides a rapid method of measuring concentrations of volatile organic compounds (VOCs) in environmental settings. The advantages of OP-FTIR are the speed of data collection and the absence of sample handling. The quantitative difficulties with OP-FTIR include variation in source intensity caused by moving the source or instrument, rapid change in temperature, low intensity of passive sources, and changes in path conditions such as humidity and the presence of interfering compounds. These difficulties are the major obstacles in using OP-FTIR quantitatively. We are developing a method that has shown promise in combating source variability, the difficulty in obtaining reference spectra, and the problems with passive sources. Reducing the resolution and graphing the intensity of the analyte peaks against a convenient reference system produces quantitative curves without subtracting background spectra. These curves can be used to determine unknown concentrations to an accuracy of 20% as long as the intensity and the general shape of the unknown sample spectrum matches a representative spectrum of the quantitative curve. We have determined sample unknowns with the use of running car engines and hot car hoods as sources. The main problem still to be studied is that accurate concentration determination requires a good match between the temperature profiles of the quantitative curve spectra and the sample spectrum. Future studies will involve the relationship between source temperature and spectral shape, source temperature and absorption peak magnitude, and the effect of distance from the source to the instrument on spectral shape and peak magnitude. ©1999 John Wiley & Sons, Inc. Field Analyt Chem Technol 3: 37–43, 1999

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