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Updated: Jun 26, 2026

Nitrogen Compound Characterization in Fuels by Multidimensional Gas Chromatography
Published on: May 15, 2020
Multidimensional GC-fourier transform ion cyclotron resonance MS analyses: utilizing gas-phase basicities to
Zhaohui Luo1, Caleb Heffner, Touradj Solouki
1Department of Chemistry, University of Maine, Orono, ME 04469, USA.
This study introduces proton affinity bracketing to gas chromatography-mass spectrometry (GC-MS) for better hydrocarbon isomer identification. This advanced GC-FT-ICR-MS technique accurately differentiates isomers in complex samples like gasoline.
Area of Science:
- Petroleum Chemistry
- Analytical Chemistry
- Mass Spectrometry
Background:
- Hydrocarbon isomers in crude oil often exhibit similar retention times and mass spectra.
- Conventional gas chromatography-mass spectrometry (GC-MS) struggles with precise identification of these isomers.
- Distinguishing between isomers is crucial for accurate petroleum analysis and characterization.
Purpose of the Study:
- To enhance the identification capabilities of GC-MS for hydrocarbon isomers.
- To introduce real-time proton affinity or gas-phase basicity bracketing as an additional analytical dimension.
- To demonstrate the utility of GC-FT-ICR-MS for isomer differentiation in complex mixtures.
Main Methods:
- Utilized gas chromatography-fourier transform-ion cyclotron resonance-mass spectrometry (GC-FT-ICR-MS).
- Incorporated real-time proton affinity bracketing for enhanced data acquisition.
- Analyzed components of a retail gasoline sample.
Main Results:
- Achieved an average mass measurement error of less than 3 ppm for gasoline components.
- Successfully differentiated various hydrocarbon isomers, including C(8)H(10) species.
- Demonstrated the power of combining thermo-chemical measurements with GC-FT-ICR-MS data.
Conclusions:
- GC-FT-ICR-MS coupled with proton affinity bracketing significantly improves hydrocarbon isomer identification.
- This advanced analytical approach overcomes limitations of conventional GC-MS for complex petroleum samples.
- The method offers high precision for distinguishing closely related hydrocarbon species.
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