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GASOLINE LEAKAGE FORENSICS USING COMPOUND-SPECIFIC HYDROGEN ISOTOPE ANALYSIS - A CASE STUDY

机译:使用复合特异性氢同位素分析汽油泄漏法 - 案例研究

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Present day industrial activities introduce significant amounts of petroleum-based products into the natural environment from events such as leaking storage tanks and pipelines and oil spills associated with routine shipping operations.1 Consequently petroleum hydrocarbons are the most commonly detected organic contaminants in groundwater.2 Molecular fingerprinting using gas chromatography - mass spectrometry (GC/MS) is a conventional approach to identify the source of a particular contaminant plume or event. However, during migration the molecular profiles of contaminant plumes often change due to mixing with other sources and physical/biological weathering, making a conclusive match between the source and the pollutant difficult. Although triterpanes and steranes are commonly used as biomarkers for source correlation because of their resistance to microbial degradation,3 these biomarker compounds are generally absent from the lighter refined petroleum products, such as gasoline. Compound-specific isotope analysis (CSIA) has become a powerful tool for studying the sources and environmental fate of organic contaminants. The ability to measure the isotopic composition of the organic contaminant itself has been facilitated by gas chromatography-isotope ratio mass spectrometry (GC-IRMS), which allows for the measurement of the isotopic composition of individual compounds within a complex mixture.4"6 GC-IRMS provides rapid, cost-effective analysis with four to five orders of magnitude more sensitivity than conventional labor-intensive "offline preparation and dual-inlet measurement" techniques.
机译:现在的工业活动将大量的石油基产品引入自然环境中,从事泄漏储罐和管道和管道和与常规运输操作相关的流水溢出的事件.1因此石油烃是地下水中最常见的有机污染物。使用气相色谱 - 质谱(GC / MS)的指纹识别是鉴定特定污染物羽流或事件的来源的常规方法。然而,在迁移期间,由于与其他来源和身体/生物风化的混合,污染物羽膜的分子曲线通常会发生变化,从而在源和污染物之间进行结论性匹配。虽然常规用作源相关的三萜和甾烷,但由于它们对微生物降解的抵抗力,但是这些生物标志物化合物通常不存在于较轻的精制石油产品,例如汽油。复合特异性同位素分析(CSIA)已成为研究有机污染物的来源和环境命运的强大工具。通过气相色谱 - 同位素比率质谱(GC-IRMS)促进测量有机污染物本身的同位素组成的能力,这允许测量复合混合物中单个化合物的同位素组成.4“6 GC - 致力于提供快速,经济高效的分析,比传统的劳动密集型“离线准备和双入口测量”技术更灵敏度,更高的程度。

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