Rapid spilled oil analysis using direct analysis in real time time-of-flight mass spectrometry

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dc.contributor.author
Tikkisetty, Krishnaja
McCallum, Paige
Filewood, Taylor
Yan, Jeffrey
Kwok, Honoria
Brunswick, Pamela
Cody, Robert
Shang, Dayue
dc.date.accepted
2023-02-11
dc.date.accessioned
2026-02-10T19:08:13Z
dc.date.available
2026-02-10T19:08:13Z
dc.date.issued
2023-03-11
dc.date.submitted
2023-01-17
dc.description - en
In the event of an oil spill, swift identification and subsequent containment is important to conserve marine and human life. A method is developed allowing for quick oil typing using direct analysis in real time time-of-flight analysis. Oil library built on site is used to classify oils by type.
dc.description.abstract - en
Background The biomarker diagnostic ratio analysis outlined by the European Committee for Standardization is considered the current gold standard in oil forensic analysis. However, it has a major limitation as an emergency response procedure in the case of a large scale oil spill due to the high number of samples collected, long GC/MS instrument run time, and the time-consuming data processing required. This current study utilized direct analysis in real time time-of-flight mass spectrometry to develop a rapid spilled oil screening method. An exploratory search of biomarkers and synthetic additives was conducted on reference oil samples of various types. To build a robust yet swift procedure for oil typing, specific heat maps were built with extensive reference sample modelling. These heat maps were then used to select relevant ions from which principal component analysis and discriminant analysis of principal component models were constructed to result in defensible oil classifications. Results The initial exploratory search of biomarkers and additives in the various reference oil samples resulted in promising preliminary matches. The heat map and multivariate statistical analysis oil typing method was applied to three unknown samples, all of which were classified accurately. Conclusion The merit of direct analysis in real time time-of-flight mass spectrometry on oil forensic was confirmed with the detected biomarkers compound class starting members and lubricating additives along with the successful application of heat maps and multivariate statistical analysis, providing a swift yet reliable screening tool for oil spill environmental monitoring and impact surveying.
dc.description.fosrctranslation - fr
En cas de déversement d’hydrocarbures, l’identification rapide et le confinement subséquent sont importants pour la conservation de la vie marine et humaine. Une méthode est mise au point pour le typage rapide des hydrocarbures à l’aide d’une analyse directe en temps réel. La bibliothèque des hydrocarbures construite sur place sert à classer les hydrocarbures par type.
dc.identifier.doi
https://doi.org/10.1186/s40068-023-00286-8
dc.identifier.issn
2193-2697
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/4237
dc.language.iso
en
dc.publisher - en
Springer Nature
dc.publisher - fr
Springer Nature
dc.rights - en
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights - fr
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.openaccesslevel - en
Gold
dc.rights.openaccesslevel - fr
Or
dc.rights.uri - en
https://creativecommons.org/licenses/by/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by/4.0/deed.fr
dc.subject - en
Oil spills
Petroleum
Identification
Forensics
dc.subject - fr
Déversement de pétrole
Pétrole
Identification
Médecine légale
dc.subject.en - en
Oil spills
Petroleum
Identification
Forensics
dc.subject.fr - fr
Déversement de pétrole
Pétrole
Identification
Médecine légale
dc.title - en
Rapid spilled oil analysis using direct analysis in real time time-of-flight mass spectrometry
dc.title.alternative - fr
Analyse rapide des déversements d’hydrocarbures à l’aide d’une analyse directe en temps réel par spectrométrie de masse
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
5
local.article.journaltitle - en
Environmental Systems Research
local.article.journalvolume
12
local.pagination
12 pages
local.peerreview - en
Yes
local.peerreview - fr
Oui
local.requestdoi - en
No
local.requestdoi - fr
No
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