AN ATR-FTIR PROCEDURE FOR QUANTITATIVE ANALYSIS OF MINERAL CONSTITUENTS AND KEROGEN IN OIL SHALE

Principal component regression (PCR) was used to develop calibration and prediction models for determination of mineral content of complex mineral mixtures by utilizing attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectra. The typical constituents of oil shale such as dawsonite...

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Bibliographic Details
Published inOil shale (Tallinn, Estonia : 1984) Vol. 29; no. 4; p. 344
Main Authors Palayangoda, Sujeewa S, Nguyen, Quoc P
Format Journal Article
LanguageEnglish
Published Tallinn Estonian Academy Publishers 01.12.2012
Teaduste Akadeemia Kirjastus (Estonian Academy Publishers)
Subjects
Calibration
Clay
Fourier transforms
Industrial equipment
Invisibility
Laboratories
Methods
Minerals
Oil shale
Oil-shales
Particle size
Principal components analysis
Pyrolysis
Quantitative analysis
Quartz
Shale oils
Spectrum analysis
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Summary:Principal component regression (PCR) was used to develop calibration and prediction models for determination of mineral content of complex mineral mixtures by utilizing attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectra. The typical constituents of oil shale such as dawsonite, nahcolite, quartz, dolomite, illite, albite, analcime, and kerogen were used to prepare samples to record mid-infrared (IR) spectra. The specified values of dawsonite, nahcolite, quartz, dolomite and kerogen were in good agreement with measured data. Keywords: ATR-FTIR, PCR, oil shale, pyrolysis, chemometrics.
ISSN:0208-189X
1736-7492
DOI:10.3176/oil.2012.4.05