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Simultaneous microextraction of pesticides from wastewater using optimized μSPEed and μQuEChERS techniques for food contamination analysis

2023-06Journal article Open access
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datacite.subject.fosCiências Naturais::Ciências Químicas
datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.sdg06:Água Potável e Saneamento
dc.contributor.authorGarcía-Cansino, Laura
dc.contributor.authorÁngeles García, María
dc.contributor.authorMarina, María Luisa
dc.contributor.authorCâmara, José S.
dc.contributor.authorPereira, Jorge A. M.
dc.contributor.authorCâmara, José
dc.contributor.authorAugusto Machado Pereira, Jorge
dc.date.accessioned2025-03-14T12:20:02Z
dc.date.available2025-03-14T12:20:02Z
dc.date.issued2023-06
dc.description.abstractFood 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.eng
dc.identifier.doi10.1016/j.heliyon.2023.e16742
dc.identifier.issn2405-8440
dc.identifier.urihttp://hdl.handle.net/10400.13/7209
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier BV
dc.relationMadeira Chemistry Research Centre
dc.relationMadeira Chemistry Research Centre
dc.relation.ispartofHeliyon
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPesticides
dc.subjectMicroextraction
dc.subjectμSPEed
dc.subjectμQuEChERS
dc.subjectWastewater
dc.subjectSample preparation
dc.subjectUltrahigh-performance liquid chromatography
dc.subjectResidue analysis
dc.subjectEnvironmental monitoring
dc.subjectEU legislation
dc.subjectMaximum residue levels
dc.subjectValidation
dc.subject.
dc.subjectCentro de Química da Madeira
dc.subjectFaculdade de Ciências Exatas e da Engenharia
dc.titleSimultaneous microextraction of pesticides from wastewater using optimized μSPEed and μQuEChERS techniques for food contamination analysiseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMadeira Chemistry Research Centre
oaire.awardTitleMadeira Chemistry Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00674%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00674%2F2020/PT
oaire.citation.issue6
oaire.citation.titleHeliyon
oaire.citation.volume9
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCâmara
person.familyNameAugusto Machado Pereira
person.givenNameJosé
person.givenNameJorge
person.identifierG-3003-2013
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.ciencia-idEC12-EE8F-50E8
person.identifier.orcid0000-0003-1965-3151
person.identifier.orcid0000-0003-0316-5348
person.identifier.scopus-author-id10140393000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicatione10d78be-e547-4d25-92b5-06a997ed78da
relation.isAuthorOfPublication2f4d7adf-ab6b-40ab-85d5-73995a784bda
relation.isAuthorOfPublication.latestForDiscoverye10d78be-e547-4d25-92b5-06a997ed78da
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