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Deconvolution of pure component FT‐Raman spectra from thermal emission of barium sulfate and graphite samples using the BTEM algorithm
Author(s) -
Srilakshmi Ch.,
Widjaja E.,
Garland M.,
Anderson B. G.
Publication year - 2007
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.1652
Subject(s) - raman spectroscopy , deconvolution , barium , singular value decomposition , analytical chemistry (journal) , singular value , spectral line , chemistry , principal component analysis , thermal , algorithm , physics , mathematics , optics , inorganic chemistry , thermodynamics , chromatography , quantum mechanics , statistics , eigenvalues and eigenvectors
Band‐target entropy minimization (BTEM) was applied for the extraction of pure component Raman spectra from samples exhibiting a significant thermal background due to sample emission. In this method, singular value decomposition was first used to calculate the right singular vectors of the spectroscopic data matrix. Then the non‐noise right singular vectors were examined for localized spectral features, which were subsequently used for spectral recovery. These local features were targeted with the BTEM algorithm to recover the pure component Raman spectra. Accordingly, the interfering thermal background was removed. This method of analysis is applied to graphite and barium sulfate Raman spectroscopic data. Copyright © 2006 John Wiley & Sons, Ltd.