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Electrochemical chemically based sensors and emerging enzymatic biosensors for antidepressant drug detection: a review

2023-05-09Journal article Open access
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dc.contributor.authorCaldevilla, Renato
dc.contributor.authorMorais, Stephanie L.
dc.contributor.authorCruz, Agostinho
dc.contributor.authorDelerue-Matos, Cristina
dc.contributor.authorMoreira, Fernando
dc.contributor.authorPacheco, João G.
dc.contributor.authorSantos, Marlene
dc.contributor.authorBarroso, Maria Fátima
dc.date.accessioned2023-06-16T10:59:15Z
dc.date.available2023-06-16T10:59:15Z
dc.date.issued2023-05-09
dc.description.abstractMajor depressive disorder is a widespread condition with antidepressants as the main pharmacological treatment. However, some patients experience concerning adverse reactions or have an inadequate response to treatment. Analytical chromatographic techniques, among other techniques, are valuable tools for investigating medication complications, including those associated with antidepressants. Nevertheless, there is a growing need to address the limitations associated with these techniques. In recent years, electrochemical (bio)sensors have garnered significant attention due to their lower cost, portability, and precision. Electrochemical (bio)sensors can be used for various applications related to depression, such as monitoring the levels of antidepressants in biological and in environmental samples. They can provide accurate and rapid results, which could facilitate personalized treatment and improve patient outcomes. This state-of-the-art literature review aims to explore the latest advancements in the electrochemical detection of antidepressants. The review focuses on two types of electrochemical sensors: Chemically modified sensors and enzyme-based biosensors. The referred papers are carefully categorized according to their respective sensor type. The review examines the differences between the two sensing methods, highlights their unique features and limitations, and provides an in-depth analysis of each sensor.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCaldevilla, R., Morais, S. L., Cruz, A., Delerue-Matos, C., Moreira, F., Pacheco, J. G., Santos, M., & Barroso, M. F. (2023). Electrochemical Chemically Based Sensors and Emerging Enzymatic Biosensors for Antidepressant Drug Detection: A Review. International Journal of Molecular Sciences, 24(10), 8480. https://doi.org/10.3390/ijms24108480pt_PT
dc.identifier.doi10.3390/ijms24108480pt_PT
dc.identifier.eissn1422-0067
dc.identifier.urihttp://hdl.handle.net/10400.22/23153
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1422-0067/24/10/8480pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAntidepressantspt_PT
dc.subjectChemically modified electrodespt_PT
dc.subjectElectrochemical biosensorpt_PT
dc.subjectEnzyme-based electrochemical biosensorspt_PT
dc.titleElectrochemical chemically based sensors and emerging enzymatic biosensors for antidepressant drug detection: a reviewpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage23pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Journal of Molecular Sciencespt_PT
oaire.citation.volume24 (10)pt_PT
person.familyNameManuel de Caldevilla Carvalho
person.familyNameCruz
person.familyNameSantos
person.givenNameRenato
person.givenNameAgostinho
person.givenNameMarlene
person.identifier2868531
person.identifier1508370
person.identifier.ciencia-id4817-5B7F-4D35
person.identifier.ciencia-id8311-B967-31C4
person.identifier.orcid0009-0009-5272-4178
person.identifier.orcid0000-0002-1157-8196
person.identifier.orcid0000-0001-5020-5942
person.identifier.scopus-author-id57110502000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationfa11c04f-84f8-4db3-8a2d-8e9fe13fe991
relation.isAuthorOfPublicationd7ec3c5d-b3e0-4e34-8e24-4d1588876120
relation.isAuthorOfPublication8ce9ee39-a4c6-46ae-99e2-49397b550f1b
relation.isAuthorOfPublication.latestForDiscoveryfa11c04f-84f8-4db3-8a2d-8e9fe13fe991

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