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Krylov V. A.

N. I. Lobachevsky Nizhny Novgorod State University, 603950, Russia

Title: Gas chromatography-mass spectrometry determination of polycyclic aromatic hydrocarbons in water coupled with electroflotation-assisted emulsification liquid–liquid microextraction

Biography

Biography: Krylov V. A.

Abstract

Polycyclic aromatic hydrocarbons are priority pollutants due to the very high toxicity. Therefore, to determine them, it is necessary to use sensitive methods with preconcentration. In the present study, a novel method named electroflotation-assisted emulsification liquid–liquid microextraction combined with GC-MS analysis has been proposed for the preconcentration and determination of polycyclic aromatic hydrocarbons in water samples. The advantage of electroflotation deemulsification is the ease of changing the gas flow and size of gas micro-bubbles. The formation of gas micro-bubbles occurs on platinum electrodes soldered into a glass concentrator. Hexane, toluene and o-xylene were used as extractants. Application of extract capillary collection have solved the problem of the light extractant sampling. Dispersion of the extractant was performed by ultrasound. The volume of microextracts was 7-10 µl. The recovery of polycyclic aromatic hydrocarbons from water was 62-95%. A DB-5 (5% phenyl + 95% polydimethylsiloxane) fused-silica capillary column (30 m ×0.25 mm i.d. and 0.25-µm film thickness)was applied for separation of the analytes. The limits of detection and quantification of polycyclic aromatic hydrocarbons achieved were at the level of 10-5–10-6 mg/L and  highly competitive with the best world results. The methods of accounting or elimination of systematic errors are proposed. Purification of solvents by Rayleigh distillation method allowed to obtain samples with impurity content lower than (1-4)∙  10-3 mg/L. The expanded uncertainty of determination was calculated. It included precision, uncertainty of standards preparation, calibration, sample introduction, enrichment factor. The relative expanded uncertainty was at the level of 13-30%.