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Determination of pesticides in surface and ground waters by liquid chromatography–electrospray–tandem mass spectrometry

The sensitive multiresidual analytical method for simultaneous analysis of 14 most commonly used agricultural pesticides in Serbia was developed and optimized. The selected insecticides, fungicides and herbicides belong to seven chemical classes (organophosphates, neonicotinoids, carbamates, diacylh...

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Bibliographic Details
Published in:Analytica chimica acta 2010-09, Vol.678 (1), p.63-72
Main Authors: DUJAKOVIC, Nikolina, GRUJIC, Svetlana, RADISIC, Marina, VASILJEVIC, Tatjana, LAUSEVIC, Mila
Format: Article
Language:English
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Summary:The sensitive multiresidual analytical method for simultaneous analysis of 14 most commonly used agricultural pesticides in Serbia was developed and optimized. The selected insecticides, fungicides and herbicides belong to seven chemical classes (organophosphates, neonicotinoids, carbamates, diacylhydrazines, benzimidazoles, triazines and phenylureas). The method was based on solid-phase extraction followed by liquid chromatography–tandem mass spectrometry. The following parameters that may affect the SPE procedure efficiency were optimized: the sorbent type in combination with different elution solvents, the sample pH and the sample volume. For each pesticide, MS n analysis was performed and distinctive ions and transitions were selected for identification and quantification, as well as for confirmation purposes. External matrix-matched calibration method was used to eliminate variable matrix effect and ensure precise quantification. Good recoveries (72–129%), and low limits of detection (0.4–5.5 ng L −1) and quantification (1.1–18.2 ng L −1) were achieved for all selected pesticides. The developed and optimized method was successfully applied in the analysis of several river waters, as well as ground waters in Serbia, influenced by agriculture. The most frequently detected pesticide was carbendazim. Dimethoate, carbofuran and propazine were also found in the investigated samples.
ISSN:0003-2670
1873-4324
DOI:10.1016/j.aca.2010.08.016