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Comparison of GC-VUV, GC-FID, and comprehensive two-dimensional GC-MS for the characterization of weathered and unweathered diesel fuels

机译:比较GC-VUV,GC-FID和全面的二维GC-MS表征风化和未风化柴油

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Characterization of diesel fuels and degraded diesel fuels in the environment is a common issue nowadays. Providing definitive information for litigation regarding determination and distinguishing the origins or sources of fuel spill contamination has been a significant need among the environmental forensics community. Diesel fuels contain more complex chemicals and isomers compared to gasoline. Here, we compare the use of gas chromatography-vacuum ultraviolet spectroscopy (GC-VUV), gas chromatography - flame ionization detection (GC-FID), and comprehensive two-dimensional gas chromatography - mass spectrometry (GCxGC-MS) for diesel fuel and weathered diesel fuel analysis in fingerprinting biomarkers. GC-VUV is a relatively new technique that can rapidly acquire full absorption spectra from 120 to 240 nm. Class information about individual components is readily obtained based on reference to a library of matched spectra. Direct comparison of GC-VUV, GC-FID, and GCxGC-MS was undertaken to identify different classes of compounds and biomarkers. Using GCVUV, numerous peaks representing minor and major components were classified into different classes by applying spectral filters and, in some cases, spectral deconvolution. Isoprenoid biomarkers, such as pristane and phytane, and their ratios with n-alkanes, C-17 and C-18, respectively, were determined The biomarker ratio results from GC-VUV matched well with both GC-FID and GCxGC-MS. About 5%-20% difference in measured biomarker ratios were obtained for a series of commercial weathered diesel standard samples, which is good enough to allow the discrimination of different weathered diesel samples, according to prior literature.
机译:当今环境中柴油和降解柴油的特性表征是一个普遍的问题。在环境法证界中,为确定和区分燃油泄漏污染的起源或来源的诉讼提供确定的信息已成为一个重要需求。与汽油相比,柴油燃料包含更复杂的化学物质和异构体。在这里,我们比较了气相色谱-真空紫外光谱法(GC-VUV),气相色谱-火焰电离检测(GC-FID)和综合二维气相色谱-质谱法(GCxGC-MS)在柴油和指纹生物标志物中的风化柴油分析。 GC-VUV是一种相对较新的技术,可以快速获取120至240 nm的全吸收光谱。基于对匹配光谱库的引用,很容易获得有关各个组件的类别信息。对GC-VUV,GC-FID和GCxGC-MS进行了直接比较,以鉴定不同类别的化合物和生物标记。使用GCVUV,通过应用光谱滤光片以及在某些情况下进行光谱解卷积,可将代表次要成分和主要成分的大量峰划分为不同的类别。测定了类异戊二烯生物标记物,例如p烷和植烷,以及它们与正构烷烃C-17和C-18的比率。GC-VUV的生物标记物比率结果与GC-FID和GCxGC-MS都非常匹配。根据现有文献,对于一系列商业风化柴油标准样品,获得的生物标志物比例的测量值相差约5%-20%,足以区分不同的风化柴油样品。

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