Issue 43, 2020

Tiered approach to long-term weathered lubricating oil analysis: GC/FID, GC/MS diagnostic ratios, and multivariate statistics

Abstract

Frequent small-scale environmental releases of lubricating (lube) oils have deleterious effects on aquatic ecosystems. In the event of a spill, oil fingerprinting is critical to source attribution, clean-up procedures, and liability assignment. Oil forensic investigations are particularly challenging when oils are weathered over an extended period of time, as a large number of biomarkers become lost and the chemical composition changes significantly from its source. This study simulated an environmental case in which long-term weathered lube oil “spill” samples were matched to unweathered suspect “source” oils. While traditional oil fingerprinting techniques including GC/FID and GC/MS diagnostic ratios were insufficient for reliably attributing the source, a comprehensive and systematically tiered approach proved successful. The proposed methodology featured three tiers: Tier 1 GC/FID, Tier 2 GC/MS diagnostic ratios, and Tier 3 multivariate statistics. This novel approach provided environmental chemists with a powerful tool for dealing with an otherwise extremely challenging lube oil forensic investigation.

Graphical abstract: Tiered approach to long-term weathered lubricating oil analysis: GC/FID, GC/MS diagnostic ratios, and multivariate statistics

Supplementary files

Article information

Article type
Paper
Submitted
07 Aug 2020
Accepted
16 Oct 2020
First published
21 Oct 2020

Anal. Methods, 2020,12, 5236-5246

Tiered approach to long-term weathered lubricating oil analysis: GC/FID, GC/MS diagnostic ratios, and multivariate statistics

C. C. Chua, P. Brunswick, H. Kwok, J. Yan, D. Cuthbertson, G. van Aggelen and D. Shang, Anal. Methods, 2020, 12, 5236 DOI: 10.1039/D0AY01510E

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