Please use this identifier to cite or link to this item:
|Title:||Optimization of a DI-SPME-GC-MS/MS method for multi-residue analysis of pesticides in waters||Authors:||Jabali, Yasmine
Hoz, Mervat El
|Affiliations:||Department of Civil and Environmental Engineering
Department of Civil and Environmental Engineering
Abou Ali River
|Subjects:||Water--Analysis||Issue Date:||2019||Part of:||Microchemical journal||Volume:||147||Start page:||83||End page:||92||Abstract:||
This paper discusses the optimization and validation of a complete and simple method for the simultaneous determination of 48 pesticides in water by combining direct immersion solid-phase micro-extraction (DI-SPME) and gas chromatography-ion trap tandem mass spectrometry (GC-ITMS/MS). For the extraction, the different SPME parameters were tested and optimized. As a result, the polyacrylate fiber (PA 85 μm) was selected in direct immersion mode; the extraction temperature was set to 60 °C with an extraction time of 45 min and a stirring speed of 500 rpm; the thermal desorption time of the fiber in the injector port was fixed to 10 min at 275 °C. Concerning the analysis, MS/MS parameters were optimized and figures of merit were compared. Later, the method was validated and showed good linearity in the concentration ranging from 0.05 to 100 μg L−1. The reproducibility of measurements expressed as the relative standard deviation (% RSD) was found to be satisfactory. Furthermore, the detection limits for all the compounds were between 0.001 and 0.458 μg L−1, except for methomyl and hexachlorobenzene (1.09 and 0.99 μg L−1 respectively). Finally, the proposed DI-SPME-GC–MS/MS method was tested successfully for water samples collected along the watershed of Abou Ali River (North Lebanon).
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/2340||DOI:||10.1016/j.microc.2019.03.004||Ezproxy URL:||Link to full text||Type:||Journal Article|
|Appears in Collections:||Department of Civil and Environmental Engineering|
Show full item record
checked on Oct 16, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.