1. Comparison of direct, headspace and headspace cold fiber modes in solid phase microextraction of polycyclic aromatic hydrocarbons by a new coating based on poly(3,4-ethylenedioxythiophene)/graphene oxide composite.
- Author
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Banitaba MH, Hosseiny Davarani SS, and Kazemi Movahed S
- Subjects
- Chromatography, Gas methods, Cold Temperature, Microscopy, Electron, Scanning, Nanocomposites chemistry, Nanocomposites ultrastructure, Nanofibers chemistry, Nanofibers ultrastructure, Osmolar Concentration, Bridged Bicyclo Compounds, Heterocyclic chemistry, Graphite chemistry, Oxides chemistry, Polycyclic Aromatic Hydrocarbons analysis, Polymers chemistry, Solid Phase Microextraction methods
- Abstract
A novel nanocomposite coating made of poly(3,4-ethylenedioxythiophene) (PEDOT) and graphene oxide was electrochemically prepared on gold wire. The prepared fiber was applied to the solid-phase microextraction (SPME) and gas chromatographic analysis of six polycyclic aromatic hydrocarbons (PAHs). Three modes of extraction i.e. direct immersion (DI), headspace (HS) and headspace cold fiber (HS-CF) in SPME were investigated. The results were compared under optimized conditions of each mode, considering the effects of the three most important parameters which are extraction temperature, extraction time and ionic strength. The comparison showed that HS-CF-SPME results in the best outcome for the extraction of PAHs from water samples. Under the optimized conditions of this mode, the calibration curves were linear within the range of 0.4-600μgL(-1) and the detection limits were between 0.05 and 0.13μgL(-1). The intra-day and inter-day relative standard deviations obtained at 10μgL(-1) (n=5), using a single fiber, were 4.1-6.8% and 4.8-8.4%, respectively. The fiber-to-fiber repeatabilities (n=4), expressed as the relative standard deviations (RSD%), were between 6.5% and 10.7% at a 10μgL(-1) concentration level. The method was successfully applied to the analysis of PAHs in seawater samples showing recoveries from 85% to 107%., (Copyright © 2013 Elsevier B.V. All rights reserved.)
- Published
- 2014
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