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Analysis of pesticide residues in soil

2023-12Recensão Acesso aberto
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dc.contributor.authorBrinco, João
dc.contributor.authorGuedes, Paula
dc.contributor.authorGomes da Silva, Marco
dc.contributor.authorMateus, Eduardo P.
dc.contributor.authorRibeiro, Alexandra B.
dc.contributor.institutionCENSE - Centro de Investigação em Ambiente e Sustentabilidade
dc.contributor.institutionLAQV@REQUIMTE
dc.contributor.institutionDQ - Departamento de Química
dc.contributor.pblElsevier
dc.date.accessioned2023-11-13T22:08:21Z
dc.date.available2023-11-13T22:08:21Z
dc.date.issued2023-12
dc.descriptionThis work received national funds through Fundação para a Ciência e Tecnologia (FCT) through the Research units CENSE “Center for Environmental and Sustainability Research”, (PTDC/CTA-AMB/6587/2020) and LAQV/REQUIMTE (UID/QUI/ 50006/2020). FCT is also acknowledged for J. Brinco (UI/BD/150867/2021) fellowship, and P. Guedes Contract established under Individual Call to Scientific Employment Stimulus (CEECIND/01969/2020). This research is anchored at RESOLUTION LAB, an infrastructure at NOVA School of Science and Technology. Publisher Copyright: © 2023 The Author(s)
dc.description.abstractThis work reviews recently developed methodologies for multiclass pesticide residue analysis in soil and evaluates them under the focus of Green Analytical Chemistry principles, cost and time. Different extraction, clean-up and determination techniques are highlighted. QuEChERS was found to be the dominant form of extraction reported, although extractions using pressurized fluid, ultrasound and simple solid–liquid partitioning are still widely employed. GC–MS and LC-MS remain the standard analytical techniques, with the latter becoming more prevalent due to its greater versatility in analysing different chemical classes of pesticide residues, namely poorly volatile compounds. A selection of twelve representative methods was compared using the analytical eco-scale and AGREE metrics, as well as in terms of instrumental and operational cost, and time. The analysis shows that the choice of reagents and other operational parameters are more important towards the greenness of a method than the extraction and determination techniques used, but cost and time are more dependent on the techniques themselves.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent16
dc.format.extent8141276
dc.identifier.doi10.1016/j.microc.2023.109465
dc.identifier.issn0026-265X
dc.identifier.otherPURE: 76037790
dc.identifier.otherPURE UUID: 5da2f06b-ebe2-4ef1-bb77-b46b03402080
dc.identifier.otherScopus: 85174971063
dc.identifier.otherWOS: 001099972100001
dc.identifier.urihttp://hdl.handle.net/10362/159918
dc.identifier.urlhttps://www.scopus.com/pages/publications/85174971063
dc.language.isoeng
dc.peerreviewedyes
dc.relationFunding Information: info:eu-repo/grantAgreement/FCT/Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2020/PTDC%2FCTA-AMB%2F6587%2F2020/PT
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0008%2F2020/PT
dc.relationAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
dc.subjectGreen Analytical Chemistry
dc.subjectSoil Pesticide Analysis
dc.subjectAnalytical Chemistry
dc.subjectSpectroscopy
dc.titleAnalysis of pesticide residues in soilen
dc.title.subtitleA review and comparison of methodologiesen
dc.typereview
degois.publication.titleMicrochemical Journal
degois.publication.volume195
dspace.entity.typePublication
oaire.awardNumberLA/P/0008/2020
oaire.awardTitleAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0008%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublicationf7aadfd9-8a99-441b-97f3-f628208b640b
relation.isProjectOfPublication.latestForDiscoveryf7aadfd9-8a99-441b-97f3-f628208b640b

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