No Cover Image

Journal article 851 views 145 downloads

Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1

Danielle M. Goodwin, Ffion Walters Orcid Logo, Muhammad Ali, Ehsaneh Daghigh Ahmadi, Owen Guy Orcid Logo

Chemosensors, Volume: 9, Issue: 7, Start page: 174

Swansea University Authors: Ffion Walters Orcid Logo, Muhammad Ali, Ehsaneh Daghigh Ahmadi, Owen Guy Orcid Logo

  • 57316.pdf

    PDF | Version of Record

    © 2021 by the authors. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) license

    Download (3MB)

Check full text

DOI (Published version): 10.3390/chemosensors9070174

Published in: Chemosensors
ISSN: 2227-9040
Published: MDPI AG 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa57316
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-07-13T10:50:07Z
last_indexed 2023-01-11T14:37:09Z
id cronfa57316
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-07-07T14:38:58.9128039</datestamp><bib-version>v2</bib-version><id>57316</id><entry>2021-07-13</entry><title>Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1</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>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>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>2021-07-13</date><deptcode>FGMHL</deptcode><abstract/><type>Journal Article</type><journal>Chemosensors</journal><volume>9</volume><journalNumber>7</journalNumber><paginationStart>174</paginationStart><paginationEnd/><publisher>MDPI AG</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2227-9040</issnElectronic><keywords>real-time; sensor; &#x3C0;&#x2013;&#x3C0; stacking; drop-cast; carbon surfaces; resistor; passivated; MVD; non-covalent</keywords><publishedDay>8</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-07-08</publishedDate><doi>10.3390/chemosensors9070174</doi><url/><notes/><college>COLLEGE NANME</college><department>Medicine, Health and Life Science - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGMHL</DepartmentCode><institution>Swansea University</institution><apcterm>External research funder(s) paid the OA fee (includes OA grants disbursed by the Library)</apcterm><funders>his research was funded by the M2A funding from the European Social Fund via the Welsh Government (c80816), the Engineering and Physical Sciences Research Council (Grant Ref: EP/S02252X/1) and Knowledge Economy Skills Scholarships (KESS), Innovate UK project 102877. Avenues of Commercialisation of Nano &amp; Micro Technologies (ACNM) Operation funded by the European Regional Development Fund via the Welsh Government. Application Specific Semiconductor Etch Technologies (ASSET) Project funded by the European Regional Development Fund via the Welsh Governments Smart Expertise Operation. Knowledge Transfer Partnership Associate (Project number 011971) funded by Innovate UK and SPTS Technologies Ltd. Fabrication aided by Centre for NanoHealth technical team. The authors would like to acknowledge support of this work by SPTS Technologies Ltd. and Pegasus Chemicals Ltd.</funders><projectreference>UKRI EPSRC Centre for Doctoral Training in Functional Industrial Coatings, EP/S02252X/1</projectreference><lastEdited>2022-07-07T14:38:58.9128039</lastEdited><Created>2021-07-13T11:44:22.2036875</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>Danielle M.</firstname><surname>Goodwin</surname><order>1</order></author><author><firstname>Ffion</firstname><surname>Walters</surname><orcid>0000-0003-1732-6886</orcid><order>2</order></author><author><firstname>Muhammad</firstname><surname>Ali</surname><order>3</order></author><author><firstname>Ehsaneh</firstname><surname>Daghigh Ahmadi</surname><order>4</order></author><author><firstname>Owen</firstname><surname>Guy</surname><orcid>0000-0002-6449-4033</orcid><order>5</order></author></authors><documents><document><filename>57316__20394__b4cda06af2be4574b8479c92cf45da94.pdf</filename><originalFilename>57316.pdf</originalFilename><uploaded>2021-07-13T11:48:27.8388583</uploaded><type>Output</type><contentLength>3147180</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2021 by the authors. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) license</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https:// creativecommons.org/licenses/by/ 4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-07-07T14:38:58.9128039 v2 57316 2021-07-13 Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1 7808dfe3fba8a2989fd755a8a9e08d0c 0000-0003-1732-6886 Ffion Walters Ffion Walters true false 103ad6374ddc3a36f8d0609a8f471535 Muhammad Ali Muhammad Ali true false 974f6a7393c1f088d58aeeea07d80363 Ehsaneh Daghigh Ahmadi Ehsaneh Daghigh Ahmadi true false c7fa5949b8528e048c5b978005f66794 0000-0002-6449-4033 Owen Guy Owen Guy true false 2021-07-13 FGMHL Journal Article Chemosensors 9 7 174 MDPI AG 2227-9040 real-time; sensor; π–π stacking; drop-cast; carbon surfaces; resistor; passivated; MVD; non-covalent 8 7 2021 2021-07-08 10.3390/chemosensors9070174 COLLEGE NANME Medicine, Health and Life Science - Faculty COLLEGE CODE FGMHL Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) his research was funded by the M2A funding from the European Social Fund via the Welsh Government (c80816), the Engineering and Physical Sciences Research Council (Grant Ref: EP/S02252X/1) and Knowledge Economy Skills Scholarships (KESS), Innovate UK project 102877. Avenues of Commercialisation of Nano & Micro Technologies (ACNM) Operation funded by the European Regional Development Fund via the Welsh Government. Application Specific Semiconductor Etch Technologies (ASSET) Project funded by the European Regional Development Fund via the Welsh Governments Smart Expertise Operation. Knowledge Transfer Partnership Associate (Project number 011971) funded by Innovate UK and SPTS Technologies Ltd. Fabrication aided by Centre for NanoHealth technical team. The authors would like to acknowledge support of this work by SPTS Technologies Ltd. and Pegasus Chemicals Ltd. UKRI EPSRC Centre for Doctoral Training in Functional Industrial Coatings, EP/S02252X/1 2022-07-07T14:38:58.9128039 2021-07-13T11:44:22.2036875 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemistry Danielle M. Goodwin 1 Ffion Walters 0000-0003-1732-6886 2 Muhammad Ali 3 Ehsaneh Daghigh Ahmadi 4 Owen Guy 0000-0002-6449-4033 5 57316__20394__b4cda06af2be4574b8479c92cf45da94.pdf 57316.pdf 2021-07-13T11:48:27.8388583 Output 3147180 application/pdf Version of Record true © 2021 by the authors. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY) license true eng https:// creativecommons.org/licenses/by/ 4.0/
title Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1
spellingShingle Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1
Ffion Walters
Muhammad Ali
Ehsaneh Daghigh Ahmadi
Owen Guy
title_short Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1
title_full Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1
title_fullStr Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1
title_full_unstemmed Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1
title_sort Graphene Bioelectronic Nose for the Detection of Odorants with Human Olfactory Receptor 2AG1
author_id_str_mv 7808dfe3fba8a2989fd755a8a9e08d0c
103ad6374ddc3a36f8d0609a8f471535
974f6a7393c1f088d58aeeea07d80363
c7fa5949b8528e048c5b978005f66794
author_id_fullname_str_mv 7808dfe3fba8a2989fd755a8a9e08d0c_***_Ffion Walters
103ad6374ddc3a36f8d0609a8f471535_***_Muhammad Ali
974f6a7393c1f088d58aeeea07d80363_***_Ehsaneh Daghigh Ahmadi
c7fa5949b8528e048c5b978005f66794_***_Owen Guy
author Ffion Walters
Muhammad Ali
Ehsaneh Daghigh Ahmadi
Owen Guy
author2 Danielle M. Goodwin
Ffion Walters
Muhammad Ali
Ehsaneh Daghigh Ahmadi
Owen Guy
format Journal article
container_title Chemosensors
container_volume 9
container_issue 7
container_start_page 174
publishDate 2021
institution Swansea University
issn 2227-9040
doi_str_mv 10.3390/chemosensors9070174
publisher MDPI AG
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
document_store_str 1
active_str 0
published_date 2021-07-08T04:12:58Z
_version_ 1763753882636255232
score 11.037275

Similar Items