Imperial College London
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ProfessorEricYeatman

Faculty of Engineering, Department of Electrical and Electronic Engineering

Head of Department of Electrical and Electronic Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6204e.yeatman CV

 
 
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Assistant

 

Ms Anna McCormick +44 (0)20 7594 6189

 
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Location

 

610aElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Li:2020:10.1016/j.carbon.2020.06.048,
author = {Li, B and Tan, H and Jenkins, D and Srinivasa, Raghavan V and Gil, Rosa B and Guder, F and Pan, G and Yeatman, E and Sharp, D},
doi = {10.1016/j.carbon.2020.06.048},
journal = {Carbon},
pages = {144--162},
title = {Clinical detection of neurodegenerative blood biomarkers using graphene immunosensor},
url = {http://dx.doi.org/10.1016/j.carbon.2020.06.048},
volume = {168},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Accurate detection of blood biomarkers related to neurodegenerative diseases could provide a shortcut to identifying early stage patients before the onset of symptoms. The specificity, selectivity and operational requirements of the current technologies, however, preclude their use in the primary clinical setting for early detection. Graphene, an emerging 2D nanomaterial, is a promising candidate for biosensing which has the potential to meet the performance requirements and enable cost-effective, portable and rapid diagnosis. In this review, we compare graphene-based immunosensing technologies with conventional enzyme-linked immunosorbent assays and cutting-edge single molecule array techniques for the detection of blood-based neurodegenerative biomarkers. We cover the progress in electrical, electrochemical and optical graphene-based immunosensors and outline the barriers that slow or prevent the adoption of this emerging technology in primary clinical settings. We also highlight the possible solutions to overcome these barriers with an outlook on the future of the promising, graphene immunosensor technology.
AU  - Li,B
AU  - Tan,H
AU  - Jenkins,D
AU  - Srinivasa,Raghavan V
AU  - Gil,Rosa B
AU  - Guder,F
AU  - Pan,G
AU  - Yeatman,E
AU  - Sharp,D
DO  - 10.1016/j.carbon.2020.06.048
EP  - 162
PY  - 2020///
SN  - 0008-6223
SP  - 144
TI  - Clinical detection of neurodegenerative blood biomarkers using graphene immunosensor
T2  - Carbon
UR  - http://dx.doi.org/10.1016/j.carbon.2020.06.048
UR  - http://hdl.handle.net/10044/1/81000
VL  - 168
ER  -
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