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Abstract

Graphene FET Sensors for Alzheimer’s Disease Protein Biomarker Clusterin Detection †

1
Wolfson Nanomaterials and Devices Laboratory, School of Engineering, Computing and Mathematics, Faculty of Science and Engineering, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK
2
Department of Biochemistry, Faculty of Science, King Abdulaziz University (KAU), 21589 Jeddah, Saudi Arabia
3
Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 11428 Stockholm, Sweden
4
Diamond Light Source, Rutherford Appleton Laboratory, Oxfordshire OX11 0DE, UK
5
Institute of Digital Healthcare, WMG, University of Warwick, Coventry CV4 7AL, UK
*
Author to whom correspondence should be addressed.
Presented at the 1st International Electronic Conference on Biosensors, 2–17 November 2020; Available online: https://iecb2020.sciforum.net/.
Proceedings 2020, 60(1), 14; https://doi.org/10.3390/IECB2020-07229
Published: 5 November 2020
(This article belongs to the Proceedings of The 1st International Electronic Conference on Biosensors)

Abstract

:
We report on the fabrication and characterisation of Graphene field-effect transistor (GFET) Biosensors for detecting clusterin, a prominent protein biomarker of Alzheimer’s disease (AD). There are approximately 54 million people currently living with dementia worldwide and this is expected to rise to 130 million by 2050. Although there are over 400 different types of dementia, AD is the most common type, affecting between 50–75% of those diagnosed with dementia. Diagnosis of AD can take up to 2 years currently using MRI, PET, CT scans and memory tests. There is, therefore, an urgent need to develop low-cost, accurate, non-invasive and point-of-care (PoC) sensors for early diagnosis of AD. The GFET sensors we are developing to address this challenge were fabricated on Si/SiO2 substrate through processes of photolithographic patterning and metal lift-off techniques with evaporated chromium and sputtered gold contacts. Raman Spectroscopy was performed on the devices to determine the quality of the graphene. The GFETs were annealed to improve their performance before the channels were functionalized by immobilising the graphene surface with a linker molecule and anti-clusterin antibody. The detection was achieved through the binding reaction between the antibody and varying concentrations of clusterin antigen from 1 pg/mL to 1 ng/mL. The GFETs were characterized using 4-probe direct current (DC) electrical measurements which demonstrated a limit of detection of the biosensors to be below 1 pg/mL.

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MDPI and ACS Style

Bungon, T.; Haslam, C.; Damiati, S.; O’Driscoll, B.; Whitley, T.; Davey, P.; Siligardi, G.; Charmet, J.; Awan, S.A. Graphene FET Sensors for Alzheimer’s Disease Protein Biomarker Clusterin Detection. Proceedings 2020, 60, 14. https://doi.org/10.3390/IECB2020-07229

AMA Style

Bungon T, Haslam C, Damiati S, O’Driscoll B, Whitley T, Davey P, Siligardi G, Charmet J, Awan SA. Graphene FET Sensors for Alzheimer’s Disease Protein Biomarker Clusterin Detection. Proceedings. 2020; 60(1):14. https://doi.org/10.3390/IECB2020-07229

Chicago/Turabian Style

Bungon, Theodore, Carrie Haslam, Samar Damiati, Benjamin O’Driscoll, Toby Whitley, Paul Davey, Giuliano Siligardi, Jerome Charmet, and Shakil A. Awan. 2020. "Graphene FET Sensors for Alzheimer’s Disease Protein Biomarker Clusterin Detection" Proceedings 60, no. 1: 14. https://doi.org/10.3390/IECB2020-07229

APA Style

Bungon, T., Haslam, C., Damiati, S., O’Driscoll, B., Whitley, T., Davey, P., Siligardi, G., Charmet, J., & Awan, S. A. (2020). Graphene FET Sensors for Alzheimer’s Disease Protein Biomarker Clusterin Detection. Proceedings, 60(1), 14. https://doi.org/10.3390/IECB2020-07229

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