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利用 HITRAN 数据库和光谱特征的等效宽度进行气相成分的定量傅里叶变换红外诊断。

Quantitative Fourier transform infrared diagnostics of the gas-phase composition using the HITRAN database and the equivalent width of the spectral features.

机构信息

Department of Mechanical Engineering, Eindhoven Technical University, Eindhoven, The Netherlands.

出版信息

Appl Spectrosc. 2009 Nov;63(11):1211-22. doi: 10.1366/000370209789806948.

Abstract

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 (NH3, CO, CH4, C2H2, C2H4, 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 10%. The paper also shows examples of application of the developed methodology for the analysis of FT-IR spectra from biomass pyrolysis.

摘要

本文提出了一种中分辨率傅里叶变换红外(FT-IR)光谱定量的策略。该方法基于将从测量的 FT-IR 光谱确定的光谱特征等效宽度的值与使用 HITRAN 数据库中列出的光谱参数模拟相应分子光谱的计算值进行比较。虽然等效宽度方法在许多高分辨率实验中经常被应用,但其在测量的光谱分辨率大于研究分子跃迁的宽度时的潜力常常被忽略。本文着眼于将该方法应用于生物质热解产物的研究,展示了该方法在中等分辨率的 FT-IR 光谱分析中的能力。该方法针对一些在生物质热解过程中重要的产物分子(NH3、CO、CH4、C2H2、C2H4 和 NO)进行了验证。即将已知量的气体放置在样品池中,并使用该方法针对不同的 FT-IR 设置确定其浓度。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优于 10%。本文还展示了开发的方法在生物质热解 FT-IR 光谱分析中的应用实例。

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