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New Method for the Monitoring of Antidepressants in Oral Fluid Using Dried Spot Sampling

2021Journal 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.accessioned2022-07-26T16:00:19Z
dc.date.available2022-07-26T16:00:19Z
dc.date.issued2021
dc.description.abstractThe increase in the consumption of antidepressants is a public health problem worldwide, as these are a class of compounds widely used in the treatment of several illnesses, such as depression and anxiety. This work aimed to develop and optimize a method for the quantification of a number of antidepressants and their metabolites (fluoxetine, venlafaxine, O-desmethylvenlafaxine, citalopram, sertraline, and paroxetine) in 100 μL of oral fluid using the dried saliva spots (DSS) sampling approach and gas chromatography coupled with tandem mass spectrometry (GC–MS/MS). The method was validated, presenting linearity within the studied range, with detection and quantification limits ranging between 10 and 100 ng/mL, and coefficients of determination (R2) of at least 0.99 for all analytes. Recoveries were between approximately 13 and 46%. The analysis of precision and accuracy presented acceptable coefficients of variation and relative errors, considering the criteria usually accepted in the validation of bioanalytical procedures. The method herein described is the first to be reported using DSS for the extraction of antidepressants, proving to be a sensitive, simple, and fast alternative to conventional techniques, and capable of being routinely applied in clinical and forensic toxicology scenariospt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSoares S, Rosado T, Barroso M, Gallardo E. New Method for the Monitoring of Antidepressants in Oral Fluid Using Dried Spot Sampling. Pharmaceuticals. 2021; 14(12):1284pt_PT
dc.identifier.doi10.3390/ph14121284pt_PT
dc.identifier.issn1424-8247
dc.identifier.urihttp://hdl.handle.net/10400.26/41466
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationHealth Sciences Research Centre
dc.relationThe potential use of oral fluid to monitor antidepressants in clinical and forensic scenarios
dc.relation.publisherversionhttps://www.mdpi.com/1424-8247/14/12/1284pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAntidepressantpt_PT
dc.subjectBiological samplept_PT
dc.subjectDried saliva spotspt_PT
dc.subjectGC–MS/Mpt_PT
dc.subjectDrug monitorinpt_PT
dc.titleNew Method for the Monitoring of Antidepressants in Oral Fluid Using Dried Spot Samplingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleHealth Sciences Research Centre
oaire.awardTitleThe potential use of oral fluid to monitor antidepressants in clinical and forensic scenarios
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00709%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F148753%2F2019/PT
oaire.citation.conferencePlaceBASEL, SWITZERLANDpt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage1284pt_PT
oaire.citation.titlePharmaceuticalspt_PT
oaire.citation.volume14pt_PT
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.isProjectOfPublication88dd94e9-361d-4fb1-92ec-c2b53796b611
relation.isProjectOfPublication.latestForDiscovery4ca3c3c9-1802-4c7f-8730-9547236896fe

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