Wen Congying, Li Mengmeng, Li Wangbo, Li Zizhou, Duan Wei, Li Yulong, Zhou Jie, Li Xiyou, Zeng Jingbin
College of Science, China University of Petroleum (East China), Qingdao, 266555, China.
College of Science, China University of Petroleum (East China), Qingdao, 266555, China.
J Chromatogr A. 2017 Dec 29;1530:45-50. doi: 10.1016/j.chroma.2017.11.016. Epub 2017 Nov 11.
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品质量的重要指标,也是炼油和加工过程中不可或缺的基础数据。在测定之前,从复杂基质中高效预富集和分离汽油馏分至关重要。在这项工作中,将一层薄的石墨烯(G)沉积在取向的氧化锌纳米棒(ZNRs)上作为固相微萃取涂层。通过这种方法,排列的ZNRs大大增加了G的表面积,并且ZNRs的表面极性从极性变为弱极性,这两者都有利于汽油馏分的萃取。此外,ZNRs受到机械和化学稳定性良好的G的良好保护,使得该涂层具有高度耐用性。采用顶空固相微萃取(HS-SPME)模式,G/ZNRs涂层能够有效地从各种油样中萃取汽油馏分,其萃取效率分别比G涂层和商用7-μm聚二甲基硅氧烷涂层高出1.5 - 5.4倍和2.1 - 8.2倍。结合气相色谱 - 火焰离子化检测器(GC-FID),所开发的方法灵敏、简单、成本效益高且易于用于汽油馏分的分析。此外,该方法对于模拟油污染水中汽油标志物的检测也是可行的,这为监测石油泄漏事故提供了一种选择。