Journal article 1078 views 142 downloads
Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)
Nanoscale Advances, Volume: 3, Issue: 8, Pages: 2295 - 2304
Swansea University Authors: Zari Tehrani , Anitha Devadoss , Owen Guy
-
PDF | Version of Record
© 2021 The Author(s). This article is licensed under a Creative Commons Attribution 3.0 Unported Licence
Download (1.02MB)
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...
Published in: | Nanoscale Advances |
---|---|
ISSN: | 2516-0230 |
Published: |
Royal Society of Chemistry (RSC)
2021
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa56469 |
first_indexed |
2021-03-18T15:40:27Z |
---|---|
last_indexed |
2021-06-22T03:20:35Z |
id |
cronfa56469 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2021-06-21T15:42:02.9077721</datestamp><bib-version>v2</bib-version><id>56469</id><entry>2021-03-18</entry><title>Graphene based electrochemical immunosensor for the ultra-sensitive label free detection of Alzheimer's beta amyloid peptides Aβ(1–42)</title><swanseaauthors><author><sid>fd8e614b01086804c80fbafa6fa6aaf5</sid><ORCID>0000-0002-5069-7921</ORCID><firstname>Zari</firstname><surname>Tehrani</surname><name>Zari Tehrani</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>a01150750f1c8eccbfeebffdde3fe8a1</sid><ORCID>0000-0002-8052-1820</ORCID><firstname>Anitha</firstname><surname>Devadoss</surname><name>Anitha Devadoss</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>c7fa5949b8528e048c5b978005f66794</sid><ORCID>0000-0002-6449-4033</ORCID><firstname>Owen</firstname><surname>Guy</surname><name>Owen Guy</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-03-18</date><deptcode>EAAS</deptcode><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). 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.</abstract><type>Journal Article</type><journal>Nanoscale Advances</journal><volume>3</volume><journalNumber>8</journalNumber><paginationStart>2295</paginationStart><paginationEnd>2304</paginationEnd><publisher>Royal Society of Chemistry (RSC)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2516-0230</issnElectronic><keywords/><publishedDay>21</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-04-21</publishedDate><doi>10.1039/d0na00801j</doi><url>http://dx.doi.org/10.1039/d0na00801j</url><notes/><college>COLLEGE NANME</college><department>Engineering and Applied Sciences School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EAAS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-06-21T15:42:02.9077721</lastEdited><Created>2021-03-18T15:39:06.9796359</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Chemistry</level></path><authors><author><firstname>Hina. Y.</firstname><surname>Abbasi</surname><order>1</order></author><author><firstname>Zari</firstname><surname>Tehrani</surname><orcid>0000-0002-5069-7921</orcid><order>2</order></author><author><firstname>Anitha</firstname><surname>Devadoss</surname><orcid>0000-0002-8052-1820</orcid><order>3</order></author><author><firstname>Muhammad Munem</firstname><surname>Ali</surname><order>4</order></author><author><firstname>Soraya</firstname><surname>Moradi-Bachiller</surname><order>5</order></author><author><firstname>Diego</firstname><surname>Albani</surname><order>6</order></author><author><firstname>Owen</firstname><surname>Guy</surname><orcid>0000-0002-6449-4033</orcid><order>7</order></author></authors><documents><document><filename>56469__19505__106026b5afb04927b62a0898e35f71fe.pdf</filename><originalFilename>56469.pdf</originalFilename><uploaded>2021-03-18T15:40:14.0529568</uploaded><type>Output</type><contentLength>1073412</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2021 The Author(s). This article is licensed under a Creative Commons Attribution 3.0 Unported Licence</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807> |
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 EAAS 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 Engineering and Applied Sciences School COLLEGE CODE EAAS 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 |
2021-04-21T14:01:10Z |
_version_ |
1822048513106640896 |
score |
11.048453 |