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通过超高分辨率质谱法扩展溢油特征分析的分析窗口:超越气相色谱法。

Expansion of the analytical window for oil spill characterization by ultrahigh resolution mass spectrometry: beyond gas chromatography.

机构信息

National High Magnetic Field Laboratory, Florida State University, 1800 East Paul Dirac Drive, Tallahassee, Florida 32310-4005, United States.

出版信息

Environ Sci Technol. 2013 Jul 2;47(13):7530-9. doi: 10.1021/es305284t. Epub 2013 Jun 19.

DOI:10.1021/es305284t
PMID:23692145
Abstract

Traditional tools for routine environmental analysis and forensic chemistry of petroleum have relied almost exclusively on gas chromatography-mass spectrometry (GC-MS), although many compounds in crude oil (and its transformation products) are not chromatographically separated or amenable to GC-MS due to volatility. To enhance current and future studies on the fate, transport, and fingerprinting of the Macondo well oil released from the 2010 Deepwater Horizon disaster, we created an extensive molecular library of the unadulterated petroleum to compare to a tar ball collected on the beach of Louisiana. We apply ultrahigh resolution Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry to identify compositional changes at the molecular level between native and weathered crude oil samples and reveal enrichment in polar compounds inaccessible by GC-based characterization. The outlined approach provides unprecedented detail with the potential to enhance insight into the environmental fate of spilled oil, improved toxicology, molecular modeling of biotic/abiotic weathering, and comprehensive molecular characterization for petroleum-derived releases. Here, we characterize more than 30,000 acidic, basic, and nonpolar unique neutral elemental compositions for the Macondo well crude oil, to provide an archive for future chemical analyses of the environmental consequences of the oil spill.

摘要

传统的用于环境分析和石油法医学的常规工具几乎完全依赖于气相色谱-质谱联用(GC-MS),尽管由于挥发性,原油(及其转化产物)中的许多化合物不能进行色谱分离或适用于 GC-MS。为了增强对 2010 年深海地平线灾难中释放的马孔多井油的命运、迁移和指纹的当前和未来研究,我们创建了一个广泛的纯净石油分子文库,以与在路易斯安那州海滩上收集的焦油球进行比较。我们应用超高分辨率傅里叶变换离子回旋共振(FT-ICR)质谱技术,在分子水平上识别原生和风化原油样品之间的组成变化,并揭示 GC 特征无法识别的极性化合物的富集。所概述的方法提供了前所未有的细节,有可能增强对溢油环境命运的了解、改善毒理学、生物/非生物风化的分子建模以及石油衍生释放物的综合分子特征。在这里,我们对马孔多井原油进行了 30000 多个酸性、碱性和非极性独特中性元素组成的特征描述,为未来对溢油环境后果的化学分析提供了档案。

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