4.5 Article

3-D graphene-supported mesoporous SiO2@Fe3O4 composites for the analysis of pesticides in aqueous samples by magnetic solid-phase extraction with high-performance liquid chromatography

Journal

JOURNAL OF SEPARATION SCIENCE
Volume 39, Issue 9, Pages 1734-1741

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jssc.201600148

Keywords

Graphene; High-performance liquid chromatography; Magnetic solid-phase extraction; Mesoporous silica; Pesticides

Funding

  1. National Natural Science Foundation of China [21467028, 21265019]
  2. Program for Innovative Research Group of Gansu Province, China [1210RJIA001]
  3. Key Laboratory of Polymer Materials of Gansu Province
  4. Key Laboratory of Ecological Environment Related Polymer Materials of Ministry of Education

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Three-dimensional graphene-supported mesoporous silica@Fe3O4 composites (mSiO(2)@Fe3O4-G) were prepared by modifying mesoporous SiO2-coated Fe3O4 onto hydrophobic graphene nanosheets through a simple adsorption co-condensation method. The obtained composites possess unique properties of large surface area (332.9 m(2)/g), pore volume (0.68 cm(3)/g), highly open pore structure with uniform pore size (31.1 nm), as well as good magnetic separation properties. The adsorbent (mSiO(2)@Fe3O4-G) was used for the magnetic solid-phase extraction of seven pesticides with benzene rings in different aqueous samples before high-performance liquid chromatography. The main parameters affecting the extraction such as adsorbent amount, volume of elution solvent, time of extraction and desorption, salt effect, oscillation rate were investigated. Under the optimal conditions, this method provided low limits of detection (S/N = 3, 0.525-3.30 mu g/L) and good linearity (5.0-1000 mu g/L, R-2 > 0.9954). Method validation proved the feasibility of the developed adsorbent, which has a high extraction efficiency and excellent enhancement performance for pesticides in this study. The proposed method was successfully applied to real aqueous samples, and satisfactory recoveries ranging from 77.5 to 113.6% with relative standard deviations within 9.7% were obtained.

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