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Selective analysis of petroleum fractions by mass spectrometry

Electrospray ionization mass spectrometry (ESI-MS) is a fast and sensitive technique that is ideal for detecting low concentration species of interest within complex mixtures. Because ESI-MS simply transfers charged species to the gas phase, only ions pre-formed in solution are visible. Accordingly, the charged tag, 3-(4-(bromomethyl)benzyl)-1-methylimidazolium hexafluorophosphate, was designed and synthesized to allow selective detection of phenols in petroleum fractions. Pressurized sample infusion (PSI) was optimized and used for time dependent analyses. PSI ESI-MS was applied to measure O-alkylation of the phenol species leading to rate information about the overall reaction along with dynamic information about reaction progress. The relative intensity of the charged tag was used to determine semi-quantitatively the presence of phenols in different petroleum fractions.
Other derivatization methods in petroleomics were also explored. 1-[3-(Dimethylamino)propyl]-3-ethylcarbodiimide methiodide (EDT) derivatization followed by PSI ESI-MS analysis was applied for the selective measurement and identification of naphthenic acids in petroleum fractions. The reactions of standard naphthenic acids and EDT were studied by PSI ESI-MS to assess the efficiency of EDT and the rate of reactions.
The same petroleum fractions were analysed by cold Electron ionization (Cold EI) gas chromatography-mass spectrometry (GC/MS) and classical EI GC/MS. The combination spectra from the subtraction from cold EI spectra to classical EI spectra provide us a new dimension to cold EI analysis of complex matrices. Meanwhile, a Python program was written to rapidly screen cold EI GC/MS data for routine tasks, such as retention time comparison on different instrument parameters for single petroleum sample and spectrum comparison on the same retention time for different petroleum samples. / Graduate

Identiferoai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/7850
Date22 March 2017
CreatorsZhu, Haoxuan
ContributorsMcIndoe, J. Scott
Source SetsUniversity of Victoria
LanguageEnglish, English
Detected LanguageEnglish
TypeThesis
RightsAvailable to the World Wide Web

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