Li Zhi, Ma Ruiyang, Bai Shasha, Wang Chun, Wang Zhi
Department of Chemistry, College of Science, Agricultural University of Hebei, Baoding 071001, China; College of Food Science & Technology, Agricultural University of Hebei, Baoding 071001, China.
Department of Chemistry, College of Science, Agricultural University of Hebei, Baoding 071001, China.
Talanta. 2014 Feb;119:498-504. doi: 10.1016/j.talanta.2013.11.068. Epub 2013 Dec 1.
Poly(ethylene glycol)-grafted graphene (PEG-g-G) was prepared and used as the solid phase microextraction (SPME) fiber coating for the extraction of seven volatile aromatic compounds (VACs) from water samples followed by the determination with gas chromatography-flame ionization detection. The PEG-g-G coating was characterized by both the thermal gravimetric analysis and scanning electron microscopy. The results verified that the PEG was successfully grafted onto the surface of graphene and the coating had a highly porous structure. Several important experimental parameters that could influence the SPME efficiency were investigated and optimized. Under the optimized conditions, the limits of detection were in the range from 1.0 to 6.0 ng L(-1). The relative standard deviations for intraday and interday variations were in the range of 1.8-5.8% and 5.1-8.3%, and for fiber-to-fiber variations, were between 6.5 and 11.9%, respectively. The results indicated that the PEG-g-G fiber had the advantages of high extraction efficiency and good thermal stability and durability. It can be reused more than 200 times without a significant loss of extraction efficiency. The method was successfully applied to the analysis of seven VACs in tap, river and mineral water samples.
制备了聚乙二醇接枝石墨烯（PEG-g-G），并将其用作固相微萃取（SPME）纤维涂层，用于从水样中萃取7种挥发性芳香化合物（VACs），随后采用气相色谱-火焰离子化检测法进行测定。通过热重分析和扫描电子显微镜对PEG-g-G涂层进行了表征。结果证实PEG成功接枝到石墨烯表面，且该涂层具有高度多孔的结构。研究并优化了几个可能影响SPME效率的重要实验参数。在优化条件下，检测限在1.0至6.0 ng L⁻¹范围内。日内和日间变化的相对标准偏差分别在1.8 - 5.8%和5.1 - 8.3%范围内，纤维间变化的相对标准偏差在6.5%至11.9%之间。结果表明，PEG-g-G纤维具有萃取效率高、热稳定性和耐用性好的优点。它可以重复使用200多次而萃取效率无显著损失。该方法成功应用于自来水、河水和矿泉水样品中7种VACs的分析。
