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Monitoring of non-steroidal anti-inflammatory drugs in hydric media from the Bragança region

dc.contributor.authorNemoto, Ana
dc.contributor.authorOliveira, Ana Teresa Lopes Branco de
dc.contributor.authorQueiroz, Ana
dc.contributor.authorBrito, Paulo
dc.contributor.authorRibeiro, António E.
dc.date.accessioned2020-01-21T11:44:03Z
dc.date.available2020-01-21T11:44:03Z
dc.date.issued2019
dc.description.abstractEmerging micropollutants are substances found in the environment in very low concentrations, at scales ranging from nanograms to micrograms per liter. Usually, wastewater treatment plants are not designed with the purpose of removing these pollutants. Non-steroidal anti-inflammatory drugs (NSAIDs) are some of the most prescribed drugs worldwide in order to relief pain and inflammatory conditions. Several studies report the presence of these pharmaceuticals in different aqueous matrices. Therefore, in this work will be presented an extensive set of experimental results obtained for the development and validation of a complete methodology used to identify and quantify five selected NSAIDs (acetylsalicylic acid, diclofenac, ibuprofen, ketoprofen and naproxen) in samples collected from different hydric media of the Bragança region, northern Portugal. Experimental results includes the optimization of solid phase extraction (SPE) and high performance liquid chromatography with diode array detector (HPLC-DAD) operating conditions, namely, SPE recoveries, HPLC mobile phase composition and pH based on different acetonitrile/water/trifluoroacetic acid contents under isocratic or gradient modes, and optimum wavelengths to improve limits of detection and quantification, among others. The SPE extraction is performed using Chromabond® HLB cartridges, and the optimized extraction process resulted in mass recovery values between 86.5% and 99.3%. After SPE extraction the samples were analyzed by HPLC-DAD using a C18 column, a 60%acetonitrile:40%water:0.01%trifluoroacetic acid solvent composition and a flow-rate of 1.2 mL/min. The selected wavelengths were 219 nm for ibuprofen, 224 nm for acetylsalicylic acid and naproxen, 254 nm for ketoprofen and 275 nm for diclofenac. The experimental methodology was validated using real samples from different aqueous matrices collected in the Bragança region.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNemoto, Ana; Oliveira, Ana; Queiroz, A.M.; Brito, Paulo; Ribeiro, António E. (2019). Monitoring of non-steroidal anti-inflammatory drugs in hydric media from the Bragança region. In Livro de resumos do XXVI Encontro Nacional da Sociedade Portuguesa de Química. Porto. ISBN 978-989-8124-28-9pt_PT
dc.identifier.isbn978-989-8124-28-9
dc.identifier.urihttp://hdl.handle.net/10198/20447
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSociedade Portuguesa de Químicapt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.titleMonitoring of non-steroidal anti-inflammatory drugs in hydric media from the Bragança regionpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePortopt_PT
oaire.citation.startPage230pt_PT
oaire.citation.titleXXVI Encontro Nacional da Sociedade Portuguesa de Químicapt_PT
person.familyNameQueiroz
person.familyNameBrito
person.familyNameRibeiro
person.givenNameAna
person.givenNamePaulo
person.givenNameAntónio E.
person.identifier.ciencia-id2611-D40C-3472
person.identifier.ciencia-idA31A-D845-A6E2
person.identifier.ciencia-id3211-D5B0-870D
person.identifier.orcid0000-0003-4761-0618
person.identifier.orcid0000-0003-1805-0252
person.identifier.orcid0000-0003-4569-7887
person.identifier.ridO-8367-2015
person.identifier.scopus-author-id31168231800
person.identifier.scopus-author-id23390701300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication508436a2-5db1-481e-9c48-eab160333d61
relation.isAuthorOfPublication0370deac-dc4e-4b3d-8e1f-fc2d117794d2
relation.isAuthorOfPublication52666376-f100-4407-87ef-dc5df3613761
relation.isAuthorOfPublication.latestForDiscovery0370deac-dc4e-4b3d-8e1f-fc2d117794d2

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