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Quantitative Fourier Transform Infrared Diagnostics of the Gas-Phase Composition Using the HITRAN Database and the Equivalent Width of the Spectral Features

机译:使用HITRAN数据库和光谱特征的等效宽度对气相成分进行定量傅里叶变换红外诊断

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摘要

This paper presents a strategy for quantification of medium resolution Fourier transform infrared (FT-IR) spectra. The approach is based on a comparison of the values of the equivalent width of spectral features determined from the measured FT-IR spectra with those calculated from corresponding molecular spectra simulated using spectroscopic parameters tabulated in the HITRAN database. Although the equivalent-width method is routinely applied in many high-resolution experiments, its potential is often ignored when the spectral resolution of the measurements is bigger than the width of the studied molecular transitions. Here with an eye on application of the method to the study of the biomass thermal decomposition products, we demonstrate the capability of the method for analysis of FT-IR spectra with moderate resolution. The method is validated for a number of molecules (NH_(3), CO, CH_(4), C_(2)H_(2), C_(2)H_(4), and NO) that are important products of biomass thermal decomposition. Namely, known amounts of gases were placed in a sample cell and their concentrations were determined using the method for different FT-IR settings. The agreement between the concentration values determined using the present method and those found in the sample cell was generally better than 10percent. The paper also shows examples of application of the developed methodology for the analysis of FT-IR spectra from biomass pyrolysis.
机译:本文提出了一种量化中分辨率傅立叶变换红外(FT-IR)光谱的策略。该方法基于从测得的FT-IR光谱确定的光谱特征的等效宽度的值与从相应的分子光谱计算的光谱特征的等效值的比较,这些相应的分子光谱使用HITRAN数据库中制表的光谱参数进行模拟。尽管等效宽度方法通常在许多高分辨率实验中应用,但当测量的光谱分辨率大于所研究的分子跃迁的宽度时,其潜力常常被忽略。在此着眼于该方法在生物质热分解产物研究中的应用,我们证明了该方法具有中等分辨率的FT-IR光谱分析的能力。对该方法进行了验证,该方法适用于许多作为生物质热的重要产物的分子(NH_(3),CO,CH_(4),C_(2)H_(2),C_(2)H_(4)和NO)分解。即,将已知量的气体放置在样品池中,并使用针对不同FT-IR设置的方法确定其浓度。使用本方法确定的浓度值与在样品池中发现的浓度值之间的一致性通常好于10%。本文还展示了开发的方法在生物质热解中FT-IR光谱分析中的应用实例。

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