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CHROMATOGRAPHIC SEPARATION AND IDENTIFICATION OF COMPOUNDS IN SHALE OIL AND OIL SHALE WITH SPECIFIC ELEMENT DETECTION

Variable atmosphere pyrolysis of Tosco Oil Shale was performed utilizing a Chemical Data Systems 320 concentrator and a gas blending system. Flame ionization (FID) and nitrogen specific (NPD) detection were performed to determine the atmosphere which maximized hydrocarbon compound formation while minimizing nitrogen compound formation. Comparisons of FID and NPD peak areas as a function of temperature are given for 0%, 10%, 15% and 30% oxygen. The NPD peak areas, as well as the FID peak areas, are contrasted separately. The initial development of a method for distinguishing condensed ring aromatic systems from alkyl substituted aromatic systems was accomplished. N,2,4,6-tetrachloroacetanilide was reacted with standards and with an aromatic fraction of shale oil. Mass spectral analysis and specific element detection (for carbon and chlorine), with a microwave emission detector (MED), were performed on the reaction products. Chlorination of alkyl groups occurred. The formation of olefins was documented, contrary to literature reports. Gas and liquid chromatographic methods for several organoarsenic compounds were developed. The stability of some pentacoordinate organoarsenic compounds was investigated by thermogravimetry. The concentration of arsenic in boiling point distillation cuts of shale oil and in concentrated fractions from liquid chromatographic class separations were obtained by x-ray fluorescence and by inductively coupled plasma with hydride generation. The analysis of shale oil on the GC-MED system was attempted and although a detection limit of 0.4 picograms/second was obtained on the arsenic 228.8 nanometer line no arsenic species could be identified.

Identiferoai:union.ndltd.org:UMASS/oai:scholarworks.umass.edu:dissertations-2564
Date01 January 1984
CreatorsLIMENTANI, GISELLE BETH
PublisherScholarWorks@UMass Amherst
Source SetsUniversity of Massachusetts, Amherst
LanguageEnglish
Detected LanguageEnglish
Typetext
SourceDoctoral Dissertations Available from Proquest

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