Clinical detection of neurodegenerative blood biomarkers using graphene immunosensor

Li, B and Tan, H and Jenkins, D and Srinivasa Raghavan, V and Rosa, BG and Güder, F and Pan, G and Yeatman, E and Sharp, DJ (2020) Clinical detection of neurodegenerative blood biomarkers using graphene immunosensor. In: Carbon, 168 . pp. 144-162.

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Abstract

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. © 2020 Elsevier Ltd

Item Type:	Journal Article
Publication:	Carbon
Publisher:	Elsevier Ltd
Additional Information:	The copyright of this article belongs to Elsevier Ltd
Keywords:	Biomarkers; Cost effectiveness; Diagnosis; Graphene; Immunosensors; Neurodegenerative diseases, Clinical detection; Clinical settings; Current technology; Emerging technologies; Enzyme linked immunosorbent assay; Neurodegenerative; Operational requirements; Performance requirements, Blood
Department/Centre:	Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited:	20 Aug 2020 11:11
Last Modified:	20 Aug 2020 11:11
URI:	http://eprints.iisc.ac.in/id/eprint/66039

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