• 文献标题:   Three-dimensional ionic liquid functionalized magnetic graphene oxide nanocomposite for the magnetic dispersive solid phase extraction of 16 polycyclic aromatic hydrocarbons in vegetable oils
  • 文献类型:   Article
  • 作  者:   ZHANG Y, ZHOU H, ZHANG ZH, WU XL, CHEN WG, ZHU Y, FANG CF, ZHAO YG
  • 作者关键词:   ionic liquid, graphene oxide, magnetic solidphase extraction, vegetable oil, polycyclic aromatic hydrocarbon
  • 出版物名称:   JOURNAL OF CHROMATOGRAPHY A
  • ISSN:   0021-9673 EI 1873-3778
  • 通讯作者地址:   Quzhou Ctr Dis Control Prevent
  • 被引频次:   24
  • DOI:   10.1016/j.chroma.2017.02.010
  • 出版年:   2017

▎ 摘  要

In this paper, a novel three-dimensional ionic liquid functionalized magnetic graphene oxide nanocomposite (3D-IL@mGO) was prepared, and used as an effective adsorbent for the magnetic dispersive solid phase extraction (MSPE) of 16 polycyclic aromatic hydrocarbons (PAHs) in vegetable oil prior to gas chromatography-mass spectrometry (GC-MS). The properties of 3D-IL@mGO were characterized by scanning electron micrographs (SEM), X-ray photoelectron spectroscopy (XPS), vibrating sample magnetometer (VSM). The 3D-IL@mGO, functionalized by ionic liquid, exhibited high adsorption toward PAHs. Compared to molecularly imprinted solid phase extraction (MISPE), the MSPE method based on 3D-IL@mGO had less solvent consumption and low cost, and was more efficent to light PAHs in quantitative analysis. Furthermore, the rapid and accurate GC-MS method coupled with 3D-IL@mGO MSPE procedure was successfully applied for the analysis of 16 PAHs in eleven vegetable oil samples from supermarket in Zhejiang Province. The results showed that the concentrations of BaP in 3 out of 11 samples were higher than the legal limit (2.0 mu g/kg, Commission Regulation 835/2011a), the sum of 8 heavy PAHs (BaA, CHR, BbF, BkF, BaP, IcP, DaA, BgP) in 11 samples was between 3.03 mu g/kg and 229.5 mu g/kg. Validation results on linearity, specificity, accuracy, precision and stability, as well as on application to the analysis of PAHs in oil samples demonstrated the applicability to food safety risk monitoring in China. (C) 2017 Elsevier B.V. All rights reserved.