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2009年萨尼亚(安大略省)石油泄漏事件的法医指纹鉴定及源头识别

Forensic fingerprinting and source identification of the 2009 Sarnia (Ontario) oil spill.

作者信息

Wang Zhendi, Yang C, Yang Z, Sun J, Hollebone B, Brown C, Landriault M

机构信息

Emergencies Science and Technology Section (ESTS), Science & Technology Branch, Environment Canada, 335 River Road, Ottawa, Ontario, Canada K1A 0H3.

出版信息

J Environ Monit. 2011 Nov;13(11):3004-17. doi: 10.1039/c1em10620a. Epub 2011 Sep 28.

Abstract

This paper presents a case study in which integrated forensic oil fingerprinting and data interpretation techniques were used to characterize the chemical compositions and determine the source of the 2009 Sarnia (Ontario) oil spill incident. The diagnostic fingerprinting techniques include determination of hydrocarbon groups and semi-quantitative product-type screening via gas chromatography (GC), analysis of oil-characteristic biomarkers and the extended suite of parent and alkylated PAH (polycyclic aromatic hydrocarbon) homologous series via gas chromatography-mass spectrometry (GC-MS), determination and comparison of a variety of diagnostic ratios of "source-specific marker" compounds, and determination of the weathering degree of the spilled oil, and whether the spilled oil hydrocarbons have been mixed with any other "background" chemicals (biogenic and/or pyrogenic hydrocarbons). The detailed chemical fingerprinting data and results reveal the following: (1) all four samples are mixtures of diesel and lubricating oil with varying percentages of diesel to lube oil. Both samples 1460 and 1462 are majority diesel-range oil mixed with a smaller portion of lube oil. Sample 1461 contains slightly less diesel-range oil. Sample 1463 is majority lubricating-range oil. (2) The diesel in the four diesel/lube oil mixture samples was most likely the same diesel and from the same source. (3) The spill sample 1460 and the suspected-source sample 1462 have nearly identical concentrations and distribution patterns of target analytes including TPHs, n-alkane, PAHs and biomarker compounds; and have nearly identical diagnostic ratios of target compounds as well. Furthermore, a perfect "positive match" correlation line (with all normalized ratio data points falling into the straight correlation line) is clearly demonstrated. It is concluded that the spill oil water sample 1460 (#1, from the water around the vessel enclosed by a boom) matches with the suspected source sample 1462 (#3, from the vessel engine room bilge pump). (4) From the n-alkane and PAH analysis, it appears that the oil in the spill sample 1460 is slightly more weathered in comparison with sample 1462. The minor differences in fingerprints of two samples were most likely caused by weathering effects. (5) Sample 1461 (#2, from the vessel engine room bilge) and sample 1463 (#4, from the vessel bilge waste collection tank) demonstrated significantly different fingerprints and diagnostic ratios of target compounds from that of spill sample 1460. This was caused most likely by percentages of diesel to lube oil in these two samples different from that in spill sample 1460.

摘要

本文介绍了一个案例研究,其中运用了综合法医油指纹识别和数据解释技术来表征化学成分,并确定2009年萨尼亚(安大略省)漏油事件的源头。诊断指纹识别技术包括通过气相色谱法(GC)测定烃类基团和进行半定量产品类型筛选、通过气相色谱 - 质谱联用仪(GC - MS)分析油特征生物标志物以及扩展的母体和烷基化多环芳烃(PAH)同系物系列、测定和比较各种“源特异性标志物”化合物的诊断比率、确定溢油的风化程度以及溢油烃类是否与任何其他“背景”化学物质(生物成因和/或热成因烃类)混合。详细的化学指纹数据和结果显示如下:(1)所有四个样品都是柴油和润滑油的混合物,柴油与润滑油的比例各不相同。样品1460和1462主要是柴油范围的油与一小部分润滑油混合。样品1461含有的柴油范围的油略少。样品1463主要是润滑范围的油。(2)四个柴油/润滑油混合物样品中的柴油很可能是同一种柴油且来自同一源头。(3)溢油样品1460和疑似源头样品1462在包括总石油烃(TPHs)、正构烷烃、多环芳烃和生物标志物化合物在内的目标分析物的浓度和分布模式上几乎相同;目标化合物的诊断比率也几乎相同。此外,还清晰地显示出一条完美的“正匹配”相关线(所有归一化比率数据点都落在直线相关线上)。得出的结论是,溢油水样1460(#1,来自被围油栏围住的船只周围的水)与疑似源头样品1462(#3,来自船只机舱舱底泵)匹配。(4)从正构烷烃和多环芳烃分析来看,溢油样品1460中的油与样品1462相比风化程度略高。两个样品指纹的细微差异很可能是由风化作用导致的。(5)样品1461(#2,来自船只机舱舱底)和样品1463(#4,来自船只舱底废物收集罐)显示出与溢油样品1460明显不同的指纹和目标化合物诊断比率。这很可能是由于这两个样品中柴油与润滑油的比例与溢油样品1460不同所致。

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