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dc.contributor.authorIslam, Kamrul
dc.contributor.authorSuhail, A
dc.contributor.authorPan, Genhua
dc.date.accessioned2017-08-01T12:57:26Z
dc.date.available2017-08-01T12:57:26Z
dc.date.issued2017-07-12
dc.identifier.issn2079-6374
dc.identifier.issn2079-6374
dc.identifier.urihttp://hdl.handle.net/10026.1/9659
dc.description.abstract

<jats:p>We report on a label-free immunosensor based on graphene field effect transistors (G-FETs) for the ultrasensitive detection of Human Chorionic Gonadotrophin (hCG), as an indicator of pregnancy and related disorders, such as actopic pregnancy, choriocarcinoma and orchic teratoma. Pyrene based bioactive ester was non-covalently anchored onto the graphene channel in order to retain the sp2 lattice. The G-FET transfer characteristics showed repeatable and reliable responses in all surface modifying steps using a direct current (DC) readout system. The hCG concentration gradient showed a detection limit of ~1 pg·mL−1. The proposed method facilitates the cost-effective and viable production of graphene point-of-care devices for clinical diagnosis.</jats:p>

dc.format.extent27-27
dc.format.mediumElectronic
dc.languageen
dc.language.isoeng
dc.publisherMDPI AG
dc.subjectfield effect transistor
dc.subjectgraphene
dc.subjecthuman chorionic gonadotrophin
dc.subjectimmunosensor
dc.subjectBiosensing Techniques
dc.subjectChorionic Gonadotropin
dc.subjectFemale
dc.subjectGold
dc.subjectGraphite
dc.subjectHumans
dc.subjectPregnancy
dc.subjectTransistors, Electronic
dc.titleA Label-Free and Ultrasensitive Immunosensor for Detection of Human Chorionic Gonadotrophin Based on Graphene FETs
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/28704926
plymouth.issue3
plymouth.volume7
plymouth.publication-statusPublished online
plymouth.journalBiosensors
dc.identifier.doi10.3390/bios7030027
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeSwitzerland
dcterms.dateAccepted2017-07-03
dc.identifier.eissn2079-6374
dc.rights.embargoperiodNo embargo
rioxxterms.funderEPSRC
rioxxterms.identifier.projectNovel Point-of-Care Diagnostic Techniques for Dementia
rioxxterms.versionofrecord10.3390/bios7030027
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2017-07-12
rioxxterms.typeJournal Article/Review
plymouth.funderNovel Point-of-Care Diagnostic Techniques for Dementia::EPSRC
plymouth.oa-locationhttp://www.mdpi.com/2079-6374/7/3/27


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