Publication
Nanostructured label–free electrochemical immunosensor for detection of a Parkinson's disease biomarker
| dc.contributor.author | Carneiro, Pedro | |
| dc.contributor.author | Loureiro, Joana A. | |
| dc.contributor.author | Delerue-Matos, Cristina | |
| dc.contributor.author | Morais, Simone | |
| dc.contributor.author | Pereira, Maria do Carmo | |
| dc.date.accessioned | 2023-11-09T15:23:54Z | |
| dc.date.embargo | 2035 | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Aggregation of α-synuclein has been recognized as a critical event in the pathogenesis of Parkinson's disease whose prevalence is increasing with great socio-economic challenges for future generations. Here, we developed a sensitive and specific electrochemical immunosensor for the detection and quantification of this biomarker, based on the voltammetric study of a redox indicator signal, which decreases upon the analyte recognition by the antibody due to the electronic resistance increase. The proposed immunosensor is based on a screen-printed carbon electrode modified in a layer-by-layer approach, which through extensive characterization led to the successful nanostructuration of the transducer, through the drop-cast of 3.0 μL of a 0.1 mg mL−1 single-walled carbon nanotubes suspension followed by electrodeposition of gold nanoparticles in a 3 mM HAuCl4 solution under a −0.2 V potential for 150 s. Monoclonal antibodies were immobilized on the gold nanoparticles surface through chemical modification at an optimal concentration of 200 μg mL−1. Using the proposed immunosensor, α-synuclein was detected in the range of 0.01–10 ng mL−1 with a 4.1 and 12.6 pg mL−1 limits of detection and quantification, respectively. Recovery values of 96.7, 106.2 and 102.9% were attained for the tested concentrations spiked in fetal bovine serum while also presenting excellent specificity and stability throughout one month. The nanostructured immunosensor provided a great interface for electronic transduction and biological recognition events, which enabled fast, sensitive and specific detection of α-synuclein while being based on a simple and inexpensive technology requiring small sample volumes, crucial characteristics for application in point-of-care testing. | pt_PT |
| dc.description.sponsorship | This work was financially supported by: Base Funding - UIDB/00511/2020 of the Laboratory for Process Engineering, Environment, Biotechnology and Energy – LEPABE - funded by national funds through the FCT/MCTES (PIDDAC); Project 2SMART - engineered Smart materials for Smart citizens, with reference NORTE-01-0145-FEDER-000054, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF); UIDB/50006/2020 and UIDP/50006/2020 of the Associated Laboratory for Green Chemistry - Clean Technologies and Processes, funded by national funds through the FCT/MCTES (PIDDAC). FCT supported P.C. under a doctoral grant (SFRH/BD/131755/2017) and J.A.L. under the Scientific Employment Stimulus - Institutional Call - [CEECINST/00049/2018]. Biorender was used to design the graphical abstract and Fig. 1. | pt_PT |
| dc.description.version | info:eu-repo/semantics/submittedVersion | pt_PT |
| dc.identifier.doi | 10.1016/j.talanta.2022.123838 | pt_PT |
| dc.identifier.issn | 00399140 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/23880 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | NORTE-01-0145-FEDER-000054 | pt_PT |
| dc.relation | Laboratory for Process Engineering, Environment, Biotechnology and Energy | |
| dc.relation | Associated Laboratory for Green Chemistry - Clean Technologies and Processes | |
| dc.relation | Associated Laboratory for Green Chemistry - Clean Technologies and Processes | |
| dc.relation | Imunossensores eletroquímicos para deteção de biomarcadores de doenças neurodegenerativas | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0039914022006348 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | α-synuclein | pt_PT |
| dc.subject | Gold nanoparticles | pt_PT |
| dc.subject | Carbon nanotubes | pt_PT |
| dc.subject | Monoclonal antibody | pt_PT |
| dc.title | Nanostructured label–free electrochemical immunosensor for detection of a Parkinson's disease biomarker | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Laboratory for Process Engineering, Environment, Biotechnology and Energy | |
| oaire.awardTitle | Associated Laboratory for Green Chemistry - Clean Technologies and Processes | |
| oaire.awardTitle | Associated Laboratory for Green Chemistry - Clean Technologies and Processes | |
| oaire.awardTitle | Imunossensores eletroquímicos para deteção de biomarcadores de doenças neurodegenerativas | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00511%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50006%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50006%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F131755%2F2017/PT | |
| oaire.citation.startPage | 123838 | pt_PT |
| oaire.citation.title | Talanta | pt_PT |
| oaire.citation.volume | 252 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | POR_NORTE | |
| person.familyName | Delerue-Matos | |
| person.familyName | Morais | |
| person.givenName | Cristina | |
| person.givenName | Simone | |
| person.identifier | 1598822 | |
| person.identifier.ciencia-id | 9A1A-43FB-5C27 | |
| person.identifier.ciencia-id | B111-BBFB-F200 | |
| person.identifier.orcid | 0000-0002-3924-776X | |
| person.identifier.orcid | 0000-0001-6433-5801 | |
| person.identifier.rid | D-4990-2013 | |
| person.identifier.scopus-author-id | 6603741848 | |
| person.identifier.scopus-author-id | 7007053747 | |
| 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.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 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
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