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Quantification of antidepressants in oral fluid and plasma samples using microextraction by packed sorbent and analysis by gas chromatography-tandem mass spectrometry

2024Journal article Open access
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dc.contributor.authorSoares, Sofia
dc.contributor.authorRosado, Tiago
dc.contributor.authorBarroso, Mário
dc.contributor.authorGallardo, Eugenia
dc.date.accessioned2024-08-08T09:19:13Z
dc.date.available2024-08-08T09:19:13Z
dc.date.issued2024
dc.description.abstractThe consumption of antidepressants is extremely significant as they are a class of medications widely used in the treatment of numerous disorders and are therefore considered a public health problem throughout the world. The aim of this work was to develop and optimize two methodologies for the determination of selected antidepressants and metabolites (fluoxetine, venlafaxine, O-desmethylvenlafaxine, citalopram, sertraline, paroxetine), in 250 µL of sample (oral fluid and plasma) using microextraction by packed sorbent (MEPS) as the extraction technique and gas chromatography coupled to tandem mass spectrometry (GC–MS/MS) for analysis. The two methods were fully validated considering the internationally accepted criteria for bioanalytical procedures, presenting linearity within the studied range, with limits of quantification between 10 and 100 ng/mL, coefficients of determination (R2) of at least 0.99 and precision and accuracy with acceptable values of coefficients of variation and relative errors for all antidepressants in study and for both specimens. Recoveries ranged between approximately 12 and 93 % for oral fluid samples and between approximately 28 and 101 % for plasma samples. To our best knowledge, the described methods are the first to be reported using MEPS and GC–MS/MS for the identification of antidepressants in oral fluid and plasma samples, proving to be sensitive, simple, fast and capable of being applied in routine clinical and forensic toxicology scenarios.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSoares, S., Rosado, T., Barroso, M., & Gallardo, E. (2024). Quantification of antidepressants in oral fluid and plasma samples using microextraction by packed sorbent and analysis by gas chromatography-tandem mass spectrometry. Microchemical Journal, 204, 111031pt_PT
dc.identifier.doi10.1016/j.microc.2024.111031pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/51595
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationSFRH/BD/148753/ 2019pt_PT
dc.relationHealth Sciences Research Centre
dc.relationHealth Sciences Research Centre
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAntidepressantspt_PT
dc.subjectOral fluidpt_PT
dc.subjectPlasmapt_PT
dc.subjectMicroextraction by packed sorbentpt_PT
dc.subjectGas chromatography-tandem mass spectrometrypt_PT
dc.subjectDrug monitoringpt_PT
dc.titleQuantification of antidepressants in oral fluid and plasma samples using microextraction by packed sorbent and analysis by gas chromatography-tandem mass spectrometrypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleHealth Sciences Research Centre
oaire.awardTitleHealth Sciences Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00709%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00709%2F2020/PT
oaire.citation.startPage111031pt_PT
oaire.citation.titleMicrochemical Journalpt_PT
oaire.citation.volume204pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBarroso
person.givenNameMário
person.identifier.ciencia-id5110-F476-ECCC
person.identifier.orcid0000-0001-8848-2734
person.identifier.scopus-author-id35329243100
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
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication294b555e-48c4-4013-b981-b8917400c56c
relation.isAuthorOfPublication.latestForDiscovery294b555e-48c4-4013-b981-b8917400c56c
relation.isProjectOfPublication4ca3c3c9-1802-4c7f-8730-9547236896fe
relation.isProjectOfPublication56ce2e5c-35e5-4eb7-8152-2e87e77f638c
relation.isProjectOfPublication.latestForDiscovery4ca3c3c9-1802-4c7f-8730-9547236896fe

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