Comparing Laser Desorption Ionization and Atmospheric Pressure Photoionization Coupled to Fourier Transform Ion Cyclotron Resonance Mass Spectrometry To Characterize Shale Oils at the Molecular Level
Energy & Fuels
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Abstract
Laser desorption ionization (LDI) coupled to Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was used to analyze shale oils. Previous work showed that LDI is a sensitive ionization technique for assessing aromatic nitrogen compounds, and oils generated from Green River Formation oil shales are well-documented as being rich in nitrogen. The data presented here demonstrate that LDI is effective in ionizing high-double-bond-equivalent (DBE) compounds and, therefore, is a suitable method for characterizing compounds with condensed structures. Additionally, LDI generates radical cations and protonated ions concurrently, the distribution of which depends upon the molecular structures and elemental compositions, and the basicity of compounds is closely related to the generation of protonated ions. This study demonstrates that LDI FT-ICR MS is an effective ionization technique for use in the study of shale oils at the molecular level. To the best of our knowledge, this is the first time that LDI FT-ICR MS has been applied to shale oils.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Comparing Laser Desorption Ionization and Atmospheric Pressure Photoionization Coupled to Fourier Transform Ion Cyclotron Resonance Mass Spectrometry To Characterize Shale Oils at the Molecular Level |
| Series title | Energy & Fuels |
| DOI | 10.1021/ef3015662 |
| Volume | 27 |
| Issue | 4 |
| Year Published | 2013 |
| Language | English |
| Publisher | ACS Publications (American Chemical Society) |
| Publisher location | Washington, DC |
| Contributing office(s) | Central Energy Resources Science Center |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Energy & Fuels |
| First page | 1830 |
| Last page | 1837 |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |