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首页> 外文期刊>Atmospheric Measurement Techniques Discussions >Mapping and quantifying isomer sets of hydrocarbons (?≥ Csub12/sub) in diesel exhaust, lubricating oil and diesel fuel samples using GC × GC-ToF-MS
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Mapping and quantifying isomer sets of hydrocarbons (?≥ Csub12/sub) in diesel exhaust, lubricating oil and diesel fuel samples using GC × GC-ToF-MS

机译:使用GC×GC-ToF-MS对柴油机废气,润滑油和柴油样品中的碳氢化合物(?≥C 12 )的异构体进行映射和定量

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Airborne particles and vapours, like many other environmental samples including water, soils and sediments, contain complex mixtures of hydrocarbons, often deriving from crude oil either before or after fractionation into fuels, lubricants and feedstocks. Comprehensive 2D gas chromatography time-of-flight mass spectrometry (GC × GC-ToF-MS), offers a very powerful technique that separates and identifies many compounds in complicated hydrocarbon mixtures. However, quantification and identification of individual constituents at high ionization energies would require hundreds of expensive (when available) standards for calibration. Although the precise chemical structure of hydrocarbons does matter for their environmental impact and fate, strong similarities can be expected for compounds having very similar chemical structures and carbon numbers. There is, therefore, a clear benefit in an analytical technique which is specific enough to separate different classes of compounds and to distinguish homologous series while avoiding the need to handle each isomer individually. Varying EI (electron impact) ionization mass spectrometry significantly enhances the identification of individual isomers and homologous compound groups, which we refer to as “isomer sets”. Advances are reported in mapping and quantifying isomer sets of hydrocarbons ( ≥ Csub12/sub ) in diesel fuel, lubricating oil and diesel exhaust emissions. By using this analysis we report mass closures of ca. 90 and 75?% for diesel fuel and lubricating oil, and identify 85 and 75?% of the total ion current for gas- and particulate-phase diesel exhaust emissions.
机译:与许多其他环境样品(包括水,土壤和沉积物)一样,空气中的颗粒物和蒸气含有碳氢化合物的复杂混合物,这些碳氢化合物通常在分馏成燃料,润滑剂和原料之前或之后均来自原油。全面的2D气相色谱飞行时间质谱(GC×GC-ToF-MS)提供了一种非常强大的技术,可以分离和鉴定复杂烃混合物中的许多化合物。但是,在高电离能下定量和鉴定单个成分将需要数百个昂贵的(如果可用)校准标准。尽管碳氢化合物的精确化学结构对其环境影响和命运至关重要,但对于具有非常相似的化学结构和碳原子数的化合物,可以预期存在强烈的相似性。因此,在分析技术中具有明显的好处,该技术足够专一地分离不同种类的化合物并区分同源序列,同时又避免了分别处理每种异构体的需要。可变的EI(电子碰撞)电离质谱显着增强了对单个异构体和同源化合物基团(我们称为“异构体集”)的识别。据报道,在绘制和量化柴油,润滑油和柴油废气排放中的碳氢化合物(≥C 12 )的异构体集方面取得了进展。通过使用此分析,我们报告了ca的质量闭合。柴油和润滑油的含量分别为90%和75%,并确定气相和颗粒相柴油机废气排放的总离子流的85%和75%。

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