Applications of FTICR-MS in Oil Spill Studies
Document Type
Book Chapter
Publication Date
2020
Keywords
FTICR-MS, Oil spills, Deepwater Horizon, Biomarkers, MOSSFA
Digital Object Identifier (DOI)
https://doi.org/10.1007/978-3-030-11605-7_15
Abstract
During the past decade, Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) has been established as a technique of choice for the comprehensive chemical assessment of some of the most complex organic mixtures, such as petroleum, or dissolved organic matter. In the aftermath of the Deepwater Horizon (DWH) blowout, FTICR-MS demonstrated its applicability for the characterization of oil spill residues produced by abiotic weathering, such as photooxidation, and/or microbial processes and interactions, for example, marine oil snow aggregation. Such residues are abundant in high molecular weight, polar, and heteroatom-bearing chemical species, which cannot be analyzed by the typical oil spill forensics tools such as gas chromatography. Therefore, the expansion of the analytical window afforded by FTICR-MS is crucial for the monitoring and understanding of long-term oil spill fate. Furthermore, capability of FTICR-MS to characterize non-hydrocarbon petroleum fractions will be very important in the case of potential future spills of heavy, unconventional oils, such as bitumen.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Applications of FTICR-MS in Oil Spill Studies, in S. A. Murawski, C. H. Ainsworth, S. Gilbert, D. J. Hollander, C. B. Paris, M. Schlüter & D. L. Wetzel (Eds.), Deep Oil Spills Facts, Fate, and Effects, Springer, p. 253-268
Scholar Commons Citation
Radović, Jagoš R.; Jaggi, Aprami; Silva, Renzo C.; Snowden, Ryan; Waggoner, Derek C.; Hatcher, Patrick; and Oldenburg, Thomas B. P., "Applications of FTICR-MS in Oil Spill Studies" (2020). C-IMAGE Publications. 161.
https://digitalcommons.usf.edu/cimage_pubs/161
Comments
Data used in this book chapter are available for download.
Characterization of Northern Gulf of Mexico sediments using ultrahigh resolution FTICR-MS