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Characterization of Saturates, Aromatics, Resins, and Asphaltenes Heavy Crude Oil Fractions by Atmospheric Pressure Laser Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry

MPS-Authors
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Gaspar,  Andras
Service Department Schrader (MS), Max-Planck-Institut für Kohlenforschung, Max Planck Society;

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Zellermann,  Elio
Service Department Schrader (MS), Max-Planck-Institut für Kohlenforschung, Max Planck Society;

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Lababidi,  Sami
Service Department Schrader (MS), Max-Planck-Institut für Kohlenforschung, Max Planck Society;

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Reece,  Jennifer
Service Department Schrader (MS), Max-Planck-Institut für Kohlenforschung, Max Planck Society;

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Schrader,  Wolfgang
Service Department Schrader (MS), Max-Planck-Institut für Kohlenforschung, Max Planck Society;

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Citation

Gaspar, A., Zellermann, E., Lababidi, S., Reece, J., & Schrader, W. (2012). Characterization of Saturates, Aromatics, Resins, and Asphaltenes Heavy Crude Oil Fractions by Atmospheric Pressure Laser Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry. Energy & Fuels, 26(6), 3481-3487. doi:10.1021/ef3001407.


Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-EA79-1
Abstract
In this study, a heavy crude oil sample was separated on the basis of solubility and polarity, resulting in saturates, aromatics, resins, and asphaltenes (SARA) fractions. The fractions were analyzed by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) coupled to atmospheric pressure laser ionization (APLI). On the basis of the APLI–FT-ICR MS results, the molecular formulas and their corresponding aromaticity were compared to the bulk crude oil. The maltenes showed almost identical compound class distribution to the bulk sample, while the subfractions of the maltenes denoted unique distributions in compound classes and aromaticity. The aromaticity distributions of the fractions were in good agreement with expectations; however, the resins fraction showed higher aromaticity than the aromatics fraction. The potential of the SARA fractionation method as a sample-simplification tool that allows for a reduction of components present during the measurements was also demonstrated using APLI–FT-ICR MS.