The content of gasoline fraction in oil samples is not only an important indicator of oil quality, but also an indispensable fundamental data for oil refining and processing. Before its determination, efficient preconcentration and separation of gasoline fractions from complicated matrices is essential. In this work, a thin layer of graphene (G) was deposited onto oriented ZnO nanorods (ZNRs) as a SPME coating. By this approach, the surface area of G was greatly enhanced by the aligned ZNRs, and the surface polarity of ZNRs was changed from polar to less polar, which were both beneficial for the extraction of gasoline fractions. In addition, the ZNRs were well protected by the mechanically and chemically stable G, making the coating highly durable for use. With headspace SPME (HS-SPME) mode, the G/ZNRs coating can effectively extract gasoline fractions from various oil samples, whose extraction efficiency achieved 1.5-5.4 and 2.1-8.2 times higher than those of a G and commercial 7-μm PDMS coating respectively. Coupled with GC-FID, the developed method is sensitive, simple, cost effective and easily accessible for the analysis of gasoline fractions. Moreover, the method is also feasible for the detection of gasoline markers in simulated oil-polluted water, which provides an option for the monitoring of oil spill accident.

油样中汽油馏分的含量不仅是油质的重要指标，而且是炼油和加工必不可少的基础数据。在进行测定之前，必须对汽油组分和复杂基质中的汽油进行有效的预浓缩和分离。在这项工作中，石墨烯薄层（G）作为SPME涂层沉积在定向的ZnO纳米棒（ZNRs）上。通过这种方法，通过对齐的ZNRs极大地增加了G的表面积，并且ZNRs的表面极性从极性改变为极性较小，这都有利于提取汽油馏分。此外，ZNR受到机械和化学稳定的G的良好保护，从而使涂层具有极高的耐用性。在顶空SPME（HS-SPME）模式下，G / ZNRs涂层可以有效地从各种油样中提取汽油馏分，其萃取效率分别比G和商用7μmPDMS涂层高1.5-5.4和2.1-8.2倍。与GC-FID结合使用，该开发的方法灵敏，简单，具有成本效益，并且易于分析汽油馏分。而且，该方法对于模拟油污水中汽油标志物的检测也是可行的，为溢油事故的监测提供了一种选择。