4.5 Article

Dicationic polymeric ionic-liquid-based magnetic material as an adsorbent for the magnetic solid-phase extraction of organophosphate pesticides and polycyclic aromatic hydrocarbons

Journal

JOURNAL OF SEPARATION SCIENCE
Volume 39, Issue 16, Pages 3221-3229

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/jssc.201600267

Keywords

Dications; Magnetic adsorbents; Magnetic solid-phase extraction; Polymeric ionic liquids

Funding

  1. National Natural Science Foundation of China [21577031, 20905020, 21205028]

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Magnetic particles modified with a dicationic polymeric ionic liquid are described as a new adsorbent in magnetic solid-phase extraction. They were obtained through the copolymerization of a 1,8-di(3-vinylimidazolium)octane-based ionic liquid with vinyl-modified SiO2@Fe3O4, and were characterized by FTIR spectroscopy, X-ray diffraction, and vibrating sample magnetometry. The modified magnetic particles are effective in the extraction of organophosphate pesticides and polycyclic aromatic hydrocarbons. Also, they can provide different extraction performance for the selected analytes including fenitrothion, parathion, fenthion, phoxim, phenanthrene, and fluoranthene, where the extraction efficiency is found to be in agreement with the hydrophobicity of analytes. Various factors influencing the extraction efficiency, such as, the amount of adsorbent, extraction, and desorption time, and type and volume of the desorption solvent, were optimized. Under the optimized conditions, a good linearity ranging from 1-100 g/L is obtained for all analytes, except for parathion (2-200 g/L), where the correlation coefficients varied from 0.9960 to 0.9998. The limits of detection are 0.2-0.8 g/L, and intraday and interday relative standard deviations are 1.7-7.4% (n = 5) and 3.8-8.0% (n = 3), respectively. The magnetic solid-phase extraction combined with high-performance liquid chromatography can be applied for the detection of trace targets in real water samples with satisfactory relative recoveries and relative standard deviations.

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