Vidal, Lorena, Ahmadi, Mazaher, Fernández Martínez, Elena, Madrakian, Tayyebeh, Canals, Antonio
Magnetic headspace adsorptive extraction of chlorobenzenes prior to thermal desorption gas chromatography-mass spectrometry
Analytica Chimica Acta. 2017, 971: 40-47. doi:10.1016/j.aca.2017.04.002
URI: http://hdl.handle.net/10045/66395
DOI: 10.1016/j.aca.2017.04.002
ISSN: 0003-2670 (Print)
Abstract: 
This study presents a new, user-friendly, cost-effective and portable headspace solid-phase extraction technique based on graphene oxide decorated with iron oxide magnetic nanoparticles as sorbent, located on one end of a small neodymium magnet. Hence, the new headspace solid-phase extraction technique has been called Magnetic Headspace Adsorptive Extraction (Mag-HSAE). In order to assess Mag-HSAE technique applicability to model analytes, some chlorobenzenes were extracted from water samples prior to gas chromatography-mass spectrometry determination. A multivariate approach was employed to optimize the experimental parameters affecting Mag-HSAE. The method was evaluated under optimized extraction conditions (i.e., sample volume, 20 mL; extraction time, 30 min; sorbent amount, 10 mg; stirring speed, 1500 rpm, and ionic strength, non-significant), obtaining a linear response from 0.5 to 100 ng L−1 for 1,3-DCB, 1,4-DCB, 1,2-DCB, 1,3,5-TCB, 1,2,4-TCB and 1,2,3-TCB; from 0.5 to 75 ng L−1 for 1,2,4,5-TeCB, and PeCB; and from 1 to 75 ng L−1 for 1,2,3,4-TeCB. The repeatability of the proposed method was evaluated at 10 ng L−1 and 50 ng L−1 spiking levels, and coefficients of variation ranged between 1.5 and 9.5% (n = 5). Limits of detection values were found between 93 and 301 pg L−1. Finally, tap, mineral and effluent water were selected as real water samples to assess method applicability. Relative recoveries varied between 86 and 110% showing negligible matrix effects.
Keywords:Solid-phase microextraction, Chlorobenzenes, Magnetic graphene oxide, Magnetic headspace adsorptive extraction, Gas chromatography-mass spectrometry, Water samples
Elsevier
info:eu-repo/semantics/article