A label-free biosensor based on graphene and reduced graphene oxide dual-layer for electrochemical determination of beta-amyloid biomarkers
dc.contributor.author | Sethi, J | |
dc.contributor.author | Van Bulck, M | |
dc.contributor.author | Suhail, A | |
dc.contributor.author | Safarzadeh, Mina | |
dc.contributor.author | Perez-Castillo, A | |
dc.contributor.author | Pan, Genhua | |
dc.date.accessioned | 2020-09-15T11:49:25Z | |
dc.date.issued | 2020-04-25 | |
dc.identifier.issn | 0026-3672 | |
dc.identifier.issn | 1436-5073 | |
dc.identifier.other | 288 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/16337 | |
dc.description.abstract |
<jats:title>Abstract</jats:title><jats:p>A label-free biosensor is developed for the determination of plasma-based Aβ<jats:sub>1–42</jats:sub> biomarker in Alzheimer’s disease (AD). The platform is based on highly conductive dual-layer of graphene and electrochemically reduced graphene oxide (rGO). The modification of dual-layer with 1-pyrenebutyric acid <jats:italic>N</jats:italic>-hydroxysuccinimide ester (Pyr-NHS) is achieved to facilitate immobilization of H31L21 antibody. The effect of these modifications were studied with morphological, spectral and electrochemical techniques. The response of the biosensor was evaluated using differential pulse voltammetry (DPV). The data was acquired at a working potential of ~ 180 mV and a scan rate of 50 mV s<jats:sup>−1</jats:sup>. A low limit of detection (LOD) of 2.398 pM is achieved over a wide linear range from 11 pM to 55 nM. The biosensor exhibits excellent specificity over Aβ<jats:sub>1–40</jats:sub> and ApoE ε4 interfering species. Thus, it provides a viable tool for electrochemical determination of Aβ<jats:sub>1–42</jats:sub>. Spiked human and mice plasmas were used for the successful validation of the sensing platform in bio-fluidic samples. The results obtained from mice plasma analysis concurred with the immunohistochemistry (IHC) and magnetic resonance imaging (MRI) data obtained from brain analysis.</jats:p> | |
dc.format.extent | 0-0 | |
dc.format.medium | Electronic | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Springer Science and Business Media LLC | |
dc.subject | Graphene | |
dc.subject | A beta(1-42) detection | |
dc.subject | Alzheimer's disease | |
dc.subject | Electrochemical biosensors | |
dc.subject | Screen-printed electrodes | |
dc.title | A label-free biosensor based on graphene and reduced graphene oxide dual-layer for electrochemical determination of beta-amyloid biomarkers | |
dc.type | journal-article | |
dc.type | Journal Article | |
dc.type | Research Support, Non-U.S. Gov't | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000528379300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 5 | |
plymouth.volume | 187 | |
plymouth.publication-status | Published | |
plymouth.journal | Microchimica Acta | |
dc.identifier.doi | 10.1007/s00604-020-04267-x | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.publisher.place | Austria | |
dcterms.dateAccepted | 2020-04-10 | |
dc.rights.embargodate | 2020-9-16 | |
dc.identifier.eissn | 1436-5073 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1007/s00604-020-04267-x | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2020-04-25 | |
rioxxterms.type | Journal Article/Review | |
plymouth.funder | Blood Biomarker based Diagnostic Tools for Early-Stage Alzheimer’s Disease::European Commission Directorate-General for Research and Innovation |