dc.contributor.author | Awan, Shakil | |
dc.date.accessioned | 2019-10-21T14:46:49Z | |
dc.date.issued | 2019-09-23 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/14995 | |
dc.description | Worldwide prevalence of dementia is estimated to rise from the current 50 million people affected to
152 million by 2050, costing healthcare systems ~2% of the global GDP to diagnose, treat and care
for patients [1]. Although there are over 130 different types of dementia, Alzheimer’s disease (AD)
accounts for 60-70% of all cases. Methods for early diagnosis of AD could significantly impact disease
detection, progression monitoring and therapeutics. This grand challenge requires ultra-sensitive and
specific sensors to detect concentration level changes in patients significantly earlier than current
diagnostic techniques employing MRI, CT, PET scans, blood tests and memory tests, often taking
around 2 years to complete. We have therefore developed novel graphene/hBN transducers for the
ultra-sensitive detection of AD protein biomarkers, such as Clusterin a molecular chaperone
associated with AD, using electrical Quantum Transport Admittance Spectroscopy (e-QTAS). The
graphene/hBN [2] transducers were fabricated on Si/SiO2 substrate using photolithography with
evaporated chromium and sputtered gold contacts. The transducer channels were functionalized with
linker molecules, 1-Pyrenebutyric acid N-hydroxysuccinimide (Pyr-NHS) ester, to immobile antiClusterin antibody (Ab) [3]. Binding reaction of the antibody with varying concentration levels of
Clusterin antigen demonstrated the limit of detection of the transducers to be better than 10 fg/mL
using four-probe direct current-voltage (DC-IV) and e-QTAS [4,5]. The developed transducers are
generic, selective, fast, low-cost and could find applications in a broad range of point-of-care medical
diagnostics in addition to neurodegenerative diseases (Alzheimer’s, Parkinson’s, etc.), such as cancer
and cardiovascular disorders. We acknowledge funding from the UK’s EPSRC, EP/M006301/1 and
University of Plymouth, GD105227. | |
dc.language.iso | en | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.title | Ultra-sensitive detection of Alzheimer’s protein biomarker Clusterin using novel Graphene/hBN transducers and Electrical Quantum Transport Admittance Spectroscopy (e-QTAS) | |
dc.type | presentation | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
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.rights.embargodate | 2019-11-6 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.licenseref.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
rioxxterms.type | Other | |