Quantitative analysis of bandpass-filtered Fourier transform infrared interferograms.
Quantitative analysis of bandpass-filtered Fourier transform infrared interferograms.
复制标题
带通滤波傅里叶变换红外干涉图的定量分析。
DOI：
10.1021/ac00109a055
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发表时间：
1995
影响因子：
7.4
通讯作者：
Small,GW
中科院分区：
文献类型：
--
作者：
Mattu,MJ;Small,GW
本文论证了用带通滤波的傅里叶变换红外（FT-IR）干涉图的短片段进行定量分析的可行性。本工作中开发的方案解决了阻碍FT-IR光谱在非实验室应用中的四个限制：（1）需要坚固、低成本和可靠的光谱仪，（2）缺乏用于获取目标分析物吸收光谱的代表性背景光谱，（3）存在干扰分析物测定的干扰谱带，以及（4）难以从接近检测限的数据中获得有用的信息。在这项工作中，光谱信息属于一个特定的分析物带的利益是直接从一个短的干涉图段隔离的窄带数字滤波器的应用。当以这种方式处理时，过滤的干涉图片段包含可用于定量分析的化合物特异性信息。成功地使用一个单变量校准程序与过滤的干涉数据的苯和硝基苯的不同浓度的演示。校准的基础上过滤干涉图段幅度与浓度产量模型的R1 - 2值超过99%。这些结果是在不使用单独的背景或参考干涉图的情况下获得的。这种基于干涉图的分析被证明执行类似于传统的基于光谱的分析，与干涉图的方法是更有效的数据收集和计算requirements.Fourier变换红外光谱（FT-IR）已被用于各种专用的分析，如检测烟囱排放，1在工作场所的空气监测，2和在线监测化学过程控制。3此外，已经进行了可行性研究，这可能导致FT-IR光谱在监测生物过程4和无创测定临床显着分析物（如血糖）中的常规应用。5 FT-IR光谱在这些非实验室应用中的实际效用在很大程度上是
The feasibility of performing quantitativeanalysis with short segments of bandpass-filtered Fourier transform infrared (FT-IR) interferograms is demonstrated. The protocol developed in this work addresses fourlimitations that hinder the use of FT-IR spectroscopy in nonlaboratoiy applications:(1) the need for a rugged, low-cost, and reliable spectrometer,(2) the lack of representative background spectra for use in acquiring absorbance spectra of the target analyte,(3) the presence of overlap-ping spectral bands that interfere with the analyte deter-mination, and (4) the difficulty in obtaining useful information from data collected near the limit ofdetection. In this work, spectral information pertaining to a specific analyte band of interest is isolated directly from a short interferogram segment by the application of narrow-bandpass digital filters. When processed inthis way, the filtered interferogram segments contain compound-spe-cific information that can be utilized for quantitative analysis. Successful use of a univariate calibration procedure withfiltered interferogram data of benzene and nitrobenzene of varying concentrations is demonstrated. Calibrations based on filtered interferogram segment magnitudes vs concentration yield models with values of R1 2 in excess of 99%. These results are obtained without the use of a separate background or reference interferogram. This interferogram-based analysis is shown to perform analogously to a conventional spectral-based analysis, with the interferogram method being more efficient in terms of data collection and computational requirements.Fourier transform infrared (FT-IR) spectroscopy has been used in a variety of dedicated analyses such as the detection of smokestack emissions, 1 air monitoring in the workplace, 2 and in-line monitoring for chemical process control. 3 In addition, feasibility studies have been conductedthat may lead to routine applications of FT-IR spectroscopy in monitoring biological processes4 and for noninvasive determinations of clinically sig-nificant analytes such as blood glucose. 5 The practical utility of FT-IR spectroscopy in these nonlaboratory applications is largely