4.6 Article

A combined microextraction procedure for isolation of polycyclic aromatic hydrocarbons in ambient fine air particulate matter with determination by gas chromatography-tandem mass spectrometry

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1612, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.chroma.2019.460646

Keywords

Polycyclic aromatic hydrocarbons; Glass fiber filter; Micro-solid phase extraction; Graphene oxide; Atmospheric fine particulate matter

Funding

  1. National Environment Agency (NEA), Singapore [R-706-000-043-490]
  2. National University of Singapore (NUS)

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A novel combined vortex-assisted dispersive liquid-liquid microextraction (VA-DLLME)-micro-solid-phase extraction (mu-SPE) procedure for polycyclic aromatic hydrocarbons (PAHs) in ambient fine particulate matter of aerodynamic diameter of <= 2.5 mu m (PM2.5), was developed. PM2.5 was collected on polytetrafluoroethylene (PTFE)-coated glass fiber filter, that was first processed by ultrasonicating in aqueous solution. Then, VA-DLLME, followed by mu-SPE, were applied to the solution using 1-octanol and graphene oxide as extractant and sorbent, respectively for extracting the PAHs. The PAHs were determined by gas chromatography-tandem mass spectrometry (GC-MS/MS). Parameters affecting the extraction efficiency including selection of the sorbent, duration of DLLME and mu-SPE, desorption solvent type, and ultrasonication-assisted desorption time were investigated. Under the optimum extraction conditions, the method exhibited linear ranges of 0.5-50 mu g/L and 0.5-100 mu g/L depending on the analytes. The limits of detection were in the range of 0.013 mu g/L-0.135 mu g/L. The developed method was applied to determine the PAHs in genuine PM2.5 samples collected on PTFE glass fiber filters. The concentration levels in the atmospheric PM2.5 were determined to be from below the limit of quantification to 0.135 ng/m(3). The relative recoveries obtained from spiked concentrations at 1 mu g/L, and 5 mu g/L were in the range 57-88% with relative standard deviations <14%. (C) 2019 Elsevier B.V. All rights reserved.

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