4.6 Article

Magnetic solid phase extraction based on magnetite/reduced graphene oxide nanoparticles for determination of trace isocarbophos residues in different matrices

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1347, Issue -, Pages 30-38

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2014.04.073

Keywords

Graphene; Magnetite; Magnetic solid phase extraction; Isocarbophos; Nanoparticles; Gas chromatography

Funding

  1. Scientific and Technological Project of Wuhan City of China [2013020501010171]
  2. National Natural Science Foundation of China [30901007]

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A simple one-step solvothermal method was applied for the preparation of magnetite/reduced graphene oxide (MRGO), and the synthetic nanocomposites with a magnetic particle size of similar to 8 nm were used as an adsorbent for magnetic solid phase extraction of isocarbophos (ICP) in different sample matrices prior to gas chromatography (GC) detection. The identity of the nanomaterial was confirmed using Fourier transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy and transmission electron microscopy. It was shown that Fe3O4 nanoparticles with a uniform size were homogeneously anchored on RGO nanosheets. Increased oxidation degrees of graphite oxide, big particle sizes and large loading amounts of Fe3O4 on the surface of RGO led to a decrease of adsorption capacity of MRGO to ICP. The adsorption behavior of this adsorbent was better fitted by the pseudo-second-order kinetic model. Several parameters affecting the extraction efficiency were investigated and optimized, including adsorbent dosage, extraction time, ionic strength and desorption conditions. And then, a rapid and effective method based on MRGO combined with GC was developed for the determination of ICP in aqueous samples. A linear range from 0.05 to 50 ng mL(-1) was obtained with a high correlation coefficient (R-2) of 0.9995, and the limit of detection was found to be 0.0044 ng mL(-1). This method was successfully applied to the analysis of ICP in five kinds of samples, including apple, rice, lake water, cowpea and cabbage. The recoveries in different sample matrices were in the range from 81.00% to 108.51% with relative standard deviations less than 9.72%. It can be concluded that the proposed analytical method is highly-efficient, sensitive, precise, accurate and practicable. (C) 2014 Elsevier B.V. All rights reserved.

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