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Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)

Hina. Y. Abbasi, Zari Tehrani Orcid Logo, Anitha Devadoss Orcid Logo, Muhammad Munem Ali, Soraya Moradi-Bachiller, Diego Albani, Owen Guy Orcid Logo

Nanoscale Advances, Volume: 3, Issue: 8, Pages: 2295 - 2304

Swansea University Authors: Zari Tehrani Orcid Logo, Anitha Devadoss Orcid Logo, Owen Guy Orcid Logo

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DOI (Published version): 10.1039/d0na00801j

Abstract

An immunosensor capable of high sensitivity detection of beta-amyloid peptides, shown to be a reliable biomarker for Alzheimer's disease, has been developed using screen printed graphene electrodes (SPGEs) modified with ultra-thin layers of polymerised 1,5-diaminonaphthalene (pDAN). Electropoly...

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Published in: Nanoscale Advances
ISSN: 2516-0230
Published: Royal Society of Chemistry (RSC) 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa56469
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Electropolymerization of 1,5-diaminonaphthalene (DAN) was performed to coat the graphene screen printed electrodes in a continuous polymer layer with controlled thickness. The surface characteristics of pristine graphene and polymer modified graphene electrodes were examined using Raman and X-ray photoelectron spectroscopy. The effects of polymer thickness on the electron transfer rates were investigated. An immunosensor for selective detection of beta amyloid peptides A&#x3B2;(1&#x2013;42) was developed via biofunctionalization of the pDAN modified SPGE with the anti-beta amyloid antibody used as the peptide bioreceptor. The immunosensor has been used for specific detection of A&#x3B2;(1&#x2013;42) with a linear range of 1 pg mL&#x2212;1 to 1000 pg mL&#x2212;1 and showed 1.4 pg mL&#x2212;1 and 4.25 pg mL&#x2212;1 detection and quantification limit, respectively. The biosensor was further validated for the analysis of spiked human plasma. 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spelling 2021-06-21T15:42:02.9077721 v2 56469 2021-03-18 Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42) fd8e614b01086804c80fbafa6fa6aaf5 0000-0002-5069-7921 Zari Tehrani Zari Tehrani true false a01150750f1c8eccbfeebffdde3fe8a1 0000-0002-8052-1820 Anitha Devadoss Anitha Devadoss true false c7fa5949b8528e048c5b978005f66794 0000-0002-6449-4033 Owen Guy Owen Guy true false 2021-03-18 CHEG An immunosensor capable of high sensitivity detection of beta-amyloid peptides, shown to be a reliable biomarker for Alzheimer's disease, has been developed using screen printed graphene electrodes (SPGEs) modified with ultra-thin layers of polymerised 1,5-diaminonaphthalene (pDAN). Electropolymerization of 1,5-diaminonaphthalene (DAN) was performed to coat the graphene screen printed electrodes in a continuous polymer layer with controlled thickness. The surface characteristics of pristine graphene and polymer modified graphene electrodes were examined using Raman and X-ray photoelectron spectroscopy. The effects of polymer thickness on the electron transfer rates were investigated. An immunosensor for selective detection of beta amyloid peptides Aβ(1–42) was developed via biofunctionalization of the pDAN modified SPGE with the anti-beta amyloid antibody used as the peptide bioreceptor. The immunosensor has been used for specific detection of Aβ(1–42) with a linear range of 1 pg mL−1 to 1000 pg mL−1 and showed 1.4 pg mL−1 and 4.25 pg mL−1 detection and quantification limit, respectively. The biosensor was further validated for the analysis of spiked human plasma. The immunosensor enables rapid, accurate, precise, reproducible and highly sensitive detection of Aβ(1–42) using a low-cost SPGE platform, which opens the possibilities for diagnostic ex vivo applications and research-based real time studies. Journal Article Nanoscale Advances 3 8 2295 2304 Royal Society of Chemistry (RSC) 2516-0230 21 4 2021 2021-04-21 10.1039/d0na00801j http://dx.doi.org/10.1039/d0na00801j COLLEGE NANME Chemical Engineering COLLEGE CODE CHEG Swansea University 2021-06-21T15:42:02.9077721 2021-03-18T15:39:06.9796359 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemistry Hina. Y. Abbasi 1 Zari Tehrani 0000-0002-5069-7921 2 Anitha Devadoss 0000-0002-8052-1820 3 Muhammad Munem Ali 4 Soraya Moradi-Bachiller 5 Diego Albani 6 Owen Guy 0000-0002-6449-4033 7 56469__19505__106026b5afb04927b62a0898e35f71fe.pdf 56469.pdf 2021-03-18T15:40:14.0529568 Output 1073412 application/pdf Version of Record true © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 3.0 Unported Licence true eng http://creativecommons.org/licenses/by/4.0/
title Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
spellingShingle Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
Zari Tehrani
Anitha Devadoss
Owen Guy
title_short Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
title_full Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
title_fullStr Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
title_full_unstemmed Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
title_sort Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
author_id_str_mv fd8e614b01086804c80fbafa6fa6aaf5
a01150750f1c8eccbfeebffdde3fe8a1
c7fa5949b8528e048c5b978005f66794
author_id_fullname_str_mv fd8e614b01086804c80fbafa6fa6aaf5_***_Zari Tehrani
a01150750f1c8eccbfeebffdde3fe8a1_***_Anitha Devadoss
c7fa5949b8528e048c5b978005f66794_***_Owen Guy
author Zari Tehrani
Anitha Devadoss
Owen Guy
author2 Hina. Y. Abbasi
Zari Tehrani
Anitha Devadoss
Muhammad Munem Ali
Soraya Moradi-Bachiller
Diego Albani
Owen Guy
format Journal article
container_title Nanoscale Advances
container_volume 3
container_issue 8
container_start_page 2295
publishDate 2021
institution Swansea University
issn 2516-0230
doi_str_mv 10.1039/d0na00801j
publisher Royal Society of Chemistry (RSC)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemistry{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemistry
url http://dx.doi.org/10.1039/d0na00801j
document_store_str 1
active_str 0
description An immunosensor capable of high sensitivity detection of beta-amyloid peptides, shown to be a reliable biomarker for Alzheimer's disease, has been developed using screen printed graphene electrodes (SPGEs) modified with ultra-thin layers of polymerised 1,5-diaminonaphthalene (pDAN). Electropolymerization of 1,5-diaminonaphthalene (DAN) was performed to coat the graphene screen printed electrodes in a continuous polymer layer with controlled thickness. The surface characteristics of pristine graphene and polymer modified graphene electrodes were examined using Raman and X-ray photoelectron spectroscopy. The effects of polymer thickness on the electron transfer rates were investigated. An immunosensor for selective detection of beta amyloid peptides Aβ(1–42) was developed via biofunctionalization of the pDAN modified SPGE with the anti-beta amyloid antibody used as the peptide bioreceptor. The immunosensor has been used for specific detection of Aβ(1–42) with a linear range of 1 pg mL−1 to 1000 pg mL−1 and showed 1.4 pg mL−1 and 4.25 pg mL−1 detection and quantification limit, respectively. The biosensor was further validated for the analysis of spiked human plasma. The immunosensor enables rapid, accurate, precise, reproducible and highly sensitive detection of Aβ(1–42) using a low-cost SPGE platform, which opens the possibilities for diagnostic ex vivo applications and research-based real time studies.
published_date 2021-04-21T04:11:27Z
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