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Cooling assisted headspace microextraction by packed sorbent coupled to HPLC for the determination of volatile polycyclic aromatic hydrocarbons in soil

Serenjeh, FN, Hashemi, P, Ghiasvand, AR ORCID: 0000-0002-4570-7988, Rasolzadeh, F, Heydari, N and Badiei, A 2020 , 'Cooling assisted headspace microextraction by packed sorbent coupled to HPLC for the determination of volatile polycyclic aromatic hydrocarbons in soil' , Analytica Chimica Acta, vol. 1125 , pp. 128-134 , doi: 10.1016/j.aca.2020.05.067.

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Abstract

A headspace microextraction by packed sorbent technique (HS-MEPS) was developed that is assisted by cooling the extraction phase and, in the same time, heating the sample matrix. The innovated cooling assisted HS-MEPS system was optimized for the extraction and HPLC determination of volatile polycyclic aromatic hydrocarbons (PAHs) in solid samples. Amino ethyl-functionalized SBA-15 was used as a nanoporous sorbent for packing the conical hub of the MEPS syringe. For efficient extraction of PAHs, several parameters such as the nature and mass of sorbent, eluent type, elution volume, extraction temperature and number of draw-eject cycles of the syringe were studied and optimized. Under the optimal experimental conditions, only 2 mg of the sorbent was sufficient by applying a temperature of 0 °C to the sorbent while the sample was heated up to 150 °C. Linear calibration curves (R2 > 0.95) were obtained for all the studied PAHs and their quantitation limits were in the range of 0.042–0.25 ng g−1. The method was successfully applied to the extraction and HPLC analysis of PAHs in some polluted soil samples.

Item Type: Article
Authors/Creators:Serenjeh, FN and Hashemi, P and Ghiasvand, AR and Rasolzadeh, F and Heydari, N and Badiei, A
Keywords: cooling assisted headspace microextraction by packed sorbent, amino ethyl-functionalized SBA-15, polycyclic aromatic hydrocarbons, high performance liquid chromatography
Journal or Publication Title: Analytica Chimica Acta
Publisher: Elsevier Science Bv
ISSN: 0003-2670
DOI / ID Number: 10.1016/j.aca.2020.05.067
Copyright Information:

© 2020 Published by Elsevier B.V.

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