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Advisor(s)
Abstract(s)
Food contamination with pesticides poses significant risks to consumer safety and undermines
confidence in food supply chains. Detecting pesticides in food samples is a challenging task that
requires efficient extraction techniques. This study aims to compare and validate two micro extraction techniques, μSPEed and μQuEChERS-dSPE, for the simultaneous extraction of eight
pesticides (paraquat, thiabendazole, asulam, picloram, ametryn, atrazine, linuron, and cymox anil) from wastewater samples. A good analytical performance was obtained for both method ologies, with selectivity, linearity in the range 0.5–150 mg L− 1 with coefficients of determination
up to 0.9979, limits of detection (LODs) and limits of quantification (LOQs) ranging from 0.02 to
0.05 mg L− 1 and from 0.06 to 0.17 mg L− 1
, respectively, precision below 14.7 mg L− 1
, and re coveries from wastewater samples in the range of 66.1–99.9%. The developed methodologies are
simpler, faster, and require less sample and solvent volumes than conventional methodologies,
having a lower impact on the environment. Nevertheless, the μSPEed approach was found to be
more efficient, easier to perform, and with a higher greener profile. This study highlights the
potential of microextraction techniques for the analysis of pesticide residues in food and envi ronmental samples. Overall, it presents a fast and efficient method for the analysis of pesticides in
wastewater samples, which can be useful for monitoring and controlling pesticide contamination
in the environment.
Description
Keywords
Pesticides Microextraction μSPEed μQuEChERS Wastewater Sample preparation Ultrahigh-performance liquid chromatography Residue analysis Environmental monitoring EU legislation Maximum residue levels Validation . Centro de Química da Madeira Faculdade de Ciências Exatas e da Engenharia
Citation
Publisher
Elsevier BV