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Quantitative Models for Prediction of Toxic Component Concentrations in Smoke Gases from FTIR Spectra
Author(s) -
Pottel Hans
Publication year - 1996
Publication title -
fire and materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 58
eISSN - 1099-1018
pISSN - 0308-0501
DOI - 10.1002/(sici)1099-1018(199611)20:6<273::aid-fam584>3.0.co;2-q
Subject(s) - rule of thumb , component (thermodynamics) , simple (philosophy) , spectral line , smoke , wavenumber , statistics , computer science , analytical chemistry (journal) , mathematics , chemistry , algorithm , thermodynamics , optics , physics , chromatography , philosophy , organic chemistry , epistemology , astronomy
In this paper an overview is given of several methods for quantitative analysis of FTIR spectra. Each method has its particular advantages and disadvantages. Therefore, depending on the gas component to be analysed in smoke gas spectra, an optimal choice of method has to be made. This choice depends on several different aspects: • Is the spectral band of interest free of interfering components? • Does the absorption–concentration relation show strong deviations from Beer's law? • Are significant baseline corrections necessary? • Does the applied model need to warn for the presence of unexpected components? • Is it sufficient to use only a few wavenumbers or is a full‐spectrum method necessary? It will not be easy to make the appropriate choice. However, in some cases, statistics can help, in others, a good rule of thumb is to keep the choice as simple as possible. © 1996 by John Wiley & Sons, Ltd.