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A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples
Advanced NanoBiomed Research, Volume: 2, Issue: 6
Swansea University Authors: Ffion Walters , Gregory Burwell , JACOB MITCHELL, Muhammad Ali, Ehsaneh Daghigh Ahmadi, Bernard Mostert , Cerys A. Jenkins , Owen Guy
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DOI (Published version): 10.1002/anbr.202100140
Abstract
Infectious disease outbreaks remain an ever-prevalent global issue. The associated demand for rapid diagnostics and onsite testing will play an increasing and critical role in disease surveillance, prevention of the spread of infection, as well as timely commencement of treatment. Reported here is a...
Published in: | Advanced NanoBiomed Research |
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ISSN: | 2699-9307 2699-9307 |
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2022
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<?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>64651</id><entry>2023-10-03</entry><title>A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples</title><swanseaauthors><author><sid>7808dfe3fba8a2989fd755a8a9e08d0c</sid><ORCID>0000-0003-1732-6886</ORCID><firstname>Ffion</firstname><surname>Walters</surname><name>Ffion Walters</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>49890fbfbe127d4ae94bc10dc2b24199</sid><ORCID>0000-0002-2534-9626</ORCID><firstname>Gregory</firstname><surname>Burwell</surname><name>Gregory Burwell</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>9ffa4647d8c9ecbf722eed1dfb840230</sid><firstname>JACOB</firstname><surname>MITCHELL</surname><name>JACOB MITCHELL</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>103ad6374ddc3a36f8d0609a8f471535</sid><firstname>Muhammad</firstname><surname>Ali</surname><name>Muhammad Ali</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>974f6a7393c1f088d58aeeea07d80363</sid><firstname>Ehsaneh</firstname><surname>Daghigh Ahmadi</surname><name>Ehsaneh Daghigh Ahmadi</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>a353503c976a7338c7708a32e82f451f</sid><ORCID>0000-0002-9590-2124</ORCID><firstname>Bernard</firstname><surname>Mostert</surname><name>Bernard Mostert</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>9d4bd12fc4226bd8f457b1deffa096e9</sid><ORCID>0000-0002-3719-7 463</ORCID><firstname>Cerys A.</firstname><surname>Jenkins</surname><name>Cerys A. Jenkins</name><active>true</active><ethesisStudent>true</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>2023-10-03</date><deptcode>REIEL</deptcode><abstract>Infectious disease outbreaks remain an ever-prevalent global issue. The associated demand for rapid diagnostics and onsite testing will play an increasing and critical role in disease surveillance, prevention of the spread of infection, as well as timely commencement of treatment. Reported here is a graphene–gold nanoparticle hybrid sensor platform technology that is demonstrated for the real-time detection of viral proteins utilizing low volume samples (5 μL). Hepatitis C virus (HCV) is still an endemic problem worldwide and is used as an exemplar system here to demonstrate the capability of the platform viral detection sensor technology. Hepatitis C virus core antigen (HCVcAg) is a promising marker for point-of-care (POC) diagnostic testing for active HCV infection, with the potential to provide a one-stop diagnosis and trigger for the commencement of treatment. Real-time electrical resistance measurements are performed using various concentrations of HCVcAg with linear concentration dependence of resistance on HCVcAg concentration over the range of 100–750 pg mL−1.</abstract><type>Journal Article</type><journal>Advanced NanoBiomed Research</journal><volume>2</volume><journalNumber>6</journalNumber><paginationStart/><paginationEnd/><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2699-9307</issnPrint><issnElectronic>2699-9307</issnElectronic><keywords>Chemiresistor, gold nanoparticles, graphene biosensor, hepatitis C virus core antigen (HCVcAg), hybrid, real-time</keywords><publishedDay>30</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-06-30</publishedDate><doi>10.1002/anbr.202100140</doi><url>http://dx.doi.org/10.1002/anbr.202100140</url><notes/><college>COLLEGE NANME</college><department>Engagement, Innovation & Entrepreneurship</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>REIEL</DepartmentCode><institution>Swansea University</institution><apcterm>Other</apcterm><funders>F.W. and G.B. contributed equally to this work. This research was funded by Innovate UK under Newton Fund—China—UK Research and Innovation Bridges Competition 2015 (Project ref.: 102877), Engineering and Physical sciences Research Council (Project ref.: EP/M006301/1), and Knowledge Economy Skills Scholarships (KESS). NPL acknowledges the support of the UK Government Department for Business, Energy and Industrial Strategy through the UK National Quantum Technologies Programme and EU Graphene Flagship under grant agreement GrapheneCore3 881603. The authors also acknowledge support from Avenues of Commercialisation of Nano & Micro Technologies (ACNM) Operation funded by the European Regional Development Fund via the Welsh Government. G.B. acknowledges funding from the Welsh Government Capacity Builder Accelerator Program through the European Regional Development Fund, Welsh European Funding Office, and Swansea University Strategic Initiative in Sustainable Advanced Materials. A.B.M. is a Sêr Cymru II fellow and the results incorporated in this work are supported by the Welsh Government through the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska Curie grant agreement no. 663830. The authors also acknowledge the Application Specific Semiconductor Etch Technologies (ASSET) Project funded by the European Regional Development Fund via the Welsh Governments Smart Expertise Operation. J.J.M. acknowledges the support of the Knowledge Transfer Partnership Associate (Project number 011971) funded by Innovate UK and SPTS Technologies Ltd. Graphene device fabrication and passivation aided by the Centre for NanoHealth technical team. The authors would like to acknowledge Pegasus Chemicals Ltd. for the supply of chemicals used in MVD passivation. The authors would also like to acknowledge Biovici Ltd. for use of their “Sensor-Connect” technology for real-time resistance measurements. The authors would like to thank Mr. Thomas Chess for SEM imaging.</funders><projectreference/><lastEdited>2023-11-06T12:17:58.1981509</lastEdited><Created>2023-10-03T15:04:03.7309453</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>Ffion</firstname><surname>Walters</surname><orcid>0000-0003-1732-6886</orcid><order>1</order></author><author><firstname>Gregory</firstname><surname>Burwell</surname><orcid>0000-0002-2534-9626</orcid><order>2</order></author><author><firstname>JACOB</firstname><surname>MITCHELL</surname><order>3</order></author><author><firstname>Muhammad</firstname><surname>Ali</surname><order>4</order></author><author><firstname>Ehsaneh</firstname><surname>Daghigh Ahmadi</surname><order>5</order></author><author><firstname>Bernard</firstname><surname>Mostert</surname><orcid>0000-0002-9590-2124</orcid><order>6</order></author><author><firstname>Cerys A.</firstname><surname>Jenkins</surname><orcid>0000-0002-3719-7 463</orcid><order>7</order></author><author><firstname>Sergiy</firstname><surname>Rozhko</surname><order>8</order></author><author><firstname>Olga</firstname><surname>Kazakova</surname><order>9</order></author><author><firstname>Owen</firstname><surname>Guy</surname><orcid>0000-0002-6449-4033</orcid><order>10</order></author></authors><documents><document><filename>64651__28694__e9a2bd3e7a2e43d9983924e965e7c93e.pdf</filename><originalFilename>Advanced NanoBiomed Research - 2022 - Walters - A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low.pdf</originalFilename><uploaded>2023-10-03T15:08:21.3036834</uploaded><type>Output</type><contentLength>2834982</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2022 The Authors. 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v2 64651 2023-10-03 A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples 7808dfe3fba8a2989fd755a8a9e08d0c 0000-0003-1732-6886 Ffion Walters Ffion Walters true false 49890fbfbe127d4ae94bc10dc2b24199 0000-0002-2534-9626 Gregory Burwell Gregory Burwell true false 9ffa4647d8c9ecbf722eed1dfb840230 JACOB MITCHELL JACOB MITCHELL true false 103ad6374ddc3a36f8d0609a8f471535 Muhammad Ali Muhammad Ali true false 974f6a7393c1f088d58aeeea07d80363 Ehsaneh Daghigh Ahmadi Ehsaneh Daghigh Ahmadi true false a353503c976a7338c7708a32e82f451f 0000-0002-9590-2124 Bernard Mostert Bernard Mostert true false 9d4bd12fc4226bd8f457b1deffa096e9 0000-0002-3719-7 463 Cerys A. Jenkins Cerys A. Jenkins true true c7fa5949b8528e048c5b978005f66794 0000-0002-6449-4033 Owen Guy Owen Guy true false 2023-10-03 REIEL Infectious disease outbreaks remain an ever-prevalent global issue. The associated demand for rapid diagnostics and onsite testing will play an increasing and critical role in disease surveillance, prevention of the spread of infection, as well as timely commencement of treatment. Reported here is a graphene–gold nanoparticle hybrid sensor platform technology that is demonstrated for the real-time detection of viral proteins utilizing low volume samples (5 μL). Hepatitis C virus (HCV) is still an endemic problem worldwide and is used as an exemplar system here to demonstrate the capability of the platform viral detection sensor technology. Hepatitis C virus core antigen (HCVcAg) is a promising marker for point-of-care (POC) diagnostic testing for active HCV infection, with the potential to provide a one-stop diagnosis and trigger for the commencement of treatment. Real-time electrical resistance measurements are performed using various concentrations of HCVcAg with linear concentration dependence of resistance on HCVcAg concentration over the range of 100–750 pg mL−1. Journal Article Advanced NanoBiomed Research 2 6 Wiley 2699-9307 2699-9307 Chemiresistor, gold nanoparticles, graphene biosensor, hepatitis C virus core antigen (HCVcAg), hybrid, real-time 30 6 2022 2022-06-30 10.1002/anbr.202100140 http://dx.doi.org/10.1002/anbr.202100140 COLLEGE NANME Engagement, Innovation & Entrepreneurship COLLEGE CODE REIEL Swansea University Other F.W. and G.B. contributed equally to this work. This research was funded by Innovate UK under Newton Fund—China—UK Research and Innovation Bridges Competition 2015 (Project ref.: 102877), Engineering and Physical sciences Research Council (Project ref.: EP/M006301/1), and Knowledge Economy Skills Scholarships (KESS). NPL acknowledges the support of the UK Government Department for Business, Energy and Industrial Strategy through the UK National Quantum Technologies Programme and EU Graphene Flagship under grant agreement GrapheneCore3 881603. The authors also acknowledge support from Avenues of Commercialisation of Nano & Micro Technologies (ACNM) Operation funded by the European Regional Development Fund via the Welsh Government. G.B. acknowledges funding from the Welsh Government Capacity Builder Accelerator Program through the European Regional Development Fund, Welsh European Funding Office, and Swansea University Strategic Initiative in Sustainable Advanced Materials. A.B.M. is a Sêr Cymru II fellow and the results incorporated in this work are supported by the Welsh Government through the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska Curie grant agreement no. 663830. The authors also acknowledge the Application Specific Semiconductor Etch Technologies (ASSET) Project funded by the European Regional Development Fund via the Welsh Governments Smart Expertise Operation. J.J.M. acknowledges the support of the Knowledge Transfer Partnership Associate (Project number 011971) funded by Innovate UK and SPTS Technologies Ltd. Graphene device fabrication and passivation aided by the Centre for NanoHealth technical team. The authors would like to acknowledge Pegasus Chemicals Ltd. for the supply of chemicals used in MVD passivation. The authors would also like to acknowledge Biovici Ltd. for use of their “Sensor-Connect” technology for real-time resistance measurements. The authors would like to thank Mr. Thomas Chess for SEM imaging. 2023-11-06T12:17:58.1981509 2023-10-03T15:04:03.7309453 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemistry Ffion Walters 0000-0003-1732-6886 1 Gregory Burwell 0000-0002-2534-9626 2 JACOB MITCHELL 3 Muhammad Ali 4 Ehsaneh Daghigh Ahmadi 5 Bernard Mostert 0000-0002-9590-2124 6 Cerys A. Jenkins 0000-0002-3719-7 463 7 Sergiy Rozhko 8 Olga Kazakova 9 Owen Guy 0000-0002-6449-4033 10 64651__28694__e9a2bd3e7a2e43d9983924e965e7c93e.pdf Advanced NanoBiomed Research - 2022 - Walters - A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low.pdf 2023-10-03T15:08:21.3036834 Output 2834982 application/pdf Version of Record true © 2022 The Authors. Advanced NanoBiomed Research published by Wiley-VCH GmbH. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/ |
title |
A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples |
spellingShingle |
A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples Ffion Walters Gregory Burwell JACOB MITCHELL Muhammad Ali Ehsaneh Daghigh Ahmadi Bernard Mostert Cerys A. Jenkins Owen Guy |
title_short |
A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples |
title_full |
A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples |
title_fullStr |
A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples |
title_full_unstemmed |
A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples |
title_sort |
A Rapid Graphene Sensor Platform for the Detection of Viral Proteins in Low Volume Samples |
author_id_str_mv |
7808dfe3fba8a2989fd755a8a9e08d0c 49890fbfbe127d4ae94bc10dc2b24199 9ffa4647d8c9ecbf722eed1dfb840230 103ad6374ddc3a36f8d0609a8f471535 974f6a7393c1f088d58aeeea07d80363 a353503c976a7338c7708a32e82f451f 9d4bd12fc4226bd8f457b1deffa096e9 c7fa5949b8528e048c5b978005f66794 |
author_id_fullname_str_mv |
7808dfe3fba8a2989fd755a8a9e08d0c_***_Ffion Walters 49890fbfbe127d4ae94bc10dc2b24199_***_Gregory Burwell 9ffa4647d8c9ecbf722eed1dfb840230_***_JACOB MITCHELL 103ad6374ddc3a36f8d0609a8f471535_***_Muhammad Ali 974f6a7393c1f088d58aeeea07d80363_***_Ehsaneh Daghigh Ahmadi a353503c976a7338c7708a32e82f451f_***_Bernard Mostert 9d4bd12fc4226bd8f457b1deffa096e9_***_Cerys A. Jenkins c7fa5949b8528e048c5b978005f66794_***_Owen Guy |
author |
Ffion Walters Gregory Burwell JACOB MITCHELL Muhammad Ali Ehsaneh Daghigh Ahmadi Bernard Mostert Cerys A. Jenkins Owen Guy |
author2 |
Ffion Walters Gregory Burwell JACOB MITCHELL Muhammad Ali Ehsaneh Daghigh Ahmadi Bernard Mostert Cerys A. Jenkins Sergiy Rozhko Olga Kazakova Owen Guy |
format |
Journal article |
container_title |
Advanced NanoBiomed Research |
container_volume |
2 |
container_issue |
6 |
publishDate |
2022 |
institution |
Swansea University |
issn |
2699-9307 2699-9307 |
doi_str_mv |
10.1002/anbr.202100140 |
publisher |
Wiley |
college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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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/10.1002/anbr.202100140 |
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description |
Infectious disease outbreaks remain an ever-prevalent global issue. The associated demand for rapid diagnostics and onsite testing will play an increasing and critical role in disease surveillance, prevention of the spread of infection, as well as timely commencement of treatment. Reported here is a graphene–gold nanoparticle hybrid sensor platform technology that is demonstrated for the real-time detection of viral proteins utilizing low volume samples (5 μL). Hepatitis C virus (HCV) is still an endemic problem worldwide and is used as an exemplar system here to demonstrate the capability of the platform viral detection sensor technology. Hepatitis C virus core antigen (HCVcAg) is a promising marker for point-of-care (POC) diagnostic testing for active HCV infection, with the potential to provide a one-stop diagnosis and trigger for the commencement of treatment. Real-time electrical resistance measurements are performed using various concentrations of HCVcAg with linear concentration dependence of resistance on HCVcAg concentration over the range of 100–750 pg mL−1. |
published_date |
2022-06-30T12:17:59Z |
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11.037166 |