Publication
Optimization and validation of an analytical method for the determination of opiates in urine using microextraction by packed sorbent
dc.contributor.author | Simão, Ana Y. | |
dc.contributor.author | Monteiro, Catarina | |
dc.contributor.author | Marques, Hernâni | |
dc.contributor.author | Rosado, Tiago | |
dc.contributor.author | Barroso, Mário | |
dc.contributor.author | Andraus, Maristela | |
dc.contributor.author | Gallardo, Eugenia | |
dc.date.accessioned | 2024-01-24T12:36:26Z | |
dc.date.available | 2024-01-24T12:36:26Z | |
dc.date.issued | 2023-12 | |
dc.description | Comunicação apresentada no 13º Encontro Nacional de Cromatografia, 2023 | pt_PT |
dc.description.abstract | According to the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA), approximately 1.3 million individuals have used opiates, both for medical and illicit purposes1, presenting a significant public health challenge2,3. To address this issue, methods for quantifying these substances are needed. Urine is a commonly employed matrix in clinical and forensic toxicological analyses due to its ease of collection and ample availability. Its short detection window is particularly effective for monitoring recent drug exposure4,5. This study aimed to optimize a method for determining tramadol, codeine, morphine, 6-acetylmorphine, 6- acetylcodeine, and fentanyl in urine samples (250 μL). The process involved centrifugation, acid hydrolysis, and extraction using microextraction by packed sorbent (MEPS). MEPS offered a rapid, environmentally friendly, and reusable extraction technique6. All parameters that influence the extraction were previously optimized. The method was validated following international guidelines, demonstrating excellent linearity [1 to 1000 ng/mL for all compounds, except for fentanyl (10 to 1000 ng/mL), with coefficients of determination of at least 0.99], and presenting coefficients of variation and bias ≤ 15% for precision and accuracy, except for the lowest calibrator (≤ 20%). Recoveries obtained ranged from 17 to 107%, with lowest percentages for morphine (12 to 17%). Despite the low extraction efficiency obtained for morphine, it was possible to detect concentrations as low as 1 ng/mL for all compounds, except for fentanyl (10 ng/mL). The method was successfully applied to real samples from consumers of these substances. This is the first method to use MEPS and GC-MS/MS for the simultaneous determination of these six opioids in urine samples. | pt_PT |
dc.description.version | N/A | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.26/49321 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.relation | BID/UBI-Santander Universidades/2019 | pt_PT |
dc.relation | Health Sciences Research Centre | |
dc.relation | Health Sciences Research Centre | |
dc.relation | Hair as a monitoring tool for new drugs: synthetic cannabinoids and opioids | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Opiates | pt_PT |
dc.subject | Urine | pt_PT |
dc.subject | MEPS | pt_PT |
dc.title | Optimization and validation of an analytical method for the determination of opiates in urine using microextraction by packed sorbent | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.awardTitle | Health Sciences Research Centre | |
oaire.awardTitle | Health Sciences Research Centre | |
oaire.awardTitle | Hair as a monitoring tool for new drugs: synthetic cannabinoids and opioids | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00709%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00709%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/PDQI_CENTRO/2020.09070.BD/PT | |
oaire.citation.conferencePlace | Lisboa | pt_PT |
oaire.citation.title | 13º Encontro Nacional de Cromatografia | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | PDQI_CENTRO | |
person.familyName | Barroso | |
person.givenName | Mário | |
person.identifier.ciencia-id | 5110-F476-ECCC | |
person.identifier.orcid | 0000-0001-8848-2734 | |
person.identifier.scopus-author-id | 35329243100 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | 294b555e-48c4-4013-b981-b8917400c56c | |
relation.isAuthorOfPublication.latestForDiscovery | 294b555e-48c4-4013-b981-b8917400c56c | |
relation.isProjectOfPublication | 4ca3c3c9-1802-4c7f-8730-9547236896fe | |
relation.isProjectOfPublication | 56ce2e5c-35e5-4eb7-8152-2e87e77f638c | |
relation.isProjectOfPublication | e951cc6d-0466-4e2e-b4d9-7dd14ba7a196 | |
relation.isProjectOfPublication.latestForDiscovery | 4ca3c3c9-1802-4c7f-8730-9547236896fe |
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