A label-free biosensor based on graphene and reduced graphene oxide dual-layer for electrochemical determination of beta-amyloid biomarkers
Publisher
Springer NatureDate
2020-04-25Citation
10.1007/s00604-020-04267-x
Microchimica Acta 187.5 (2020): 288
ISSN
0026-3672DOI
10.1007/s00604-020-04267-xFunded by
This work was financially supported by H2020 MSCA-ITN-ETN BBDiag project under grant no. 721281. Scanning electron microscopy was performed by the Plymouth Electron Microscopy Centre (PEMC). X-ray photoelectron microscopy was performed by Harwellxps.Project
info:eu-repo/grantAgreement/EC/H2020/721281/EU//BBDIAGEditor's Version
http://doi.org/10.1007/s00604-020-04267-xSubjects
Alzheimer’s disease; Aβ detection 1–42; Electrochemical biosensors; Graphene; Screen-printed electrodes; Biología y Biomedicina / BiologíaRights
© 2020 The AuthorsAbstract
A label-free biosensor is developed for the determination of plasma-based Aβ1–42 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 N-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−1. 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 Aβ1–40 and ApoE ε4 interfering species. Thus, it provides a viable tool for electrochemical determination of Aβ1–42. 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. [Figure not available: see fulltext.]
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Google Scholar:Sethi, Jagriti
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Van Bulck, Michiel
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Suhail, Ahmed
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Safarzadeh, Mina
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Perez-Castillo, Ana
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Pan, Genhua
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