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Orientador(es)
Resumo(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.
Descrição
Palavras-chave
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
Contexto Educativo
Citação
Editora
Elsevier BV
