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Open AccessArticle

Graphene-Based Biosensor for Early Detection of Iron Deficiency

1
Electrical and Information Engineering Department, Covenant University, Ota 112233, Nigeria
2
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA
3
Microelectronics Research Center, The University of Texas at Austin, Austin, TX 78758, USA
4
Institute of Complex Systems (ICS-8), Forschungszentrum Juelich, 52428 Jülich, Germany
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(13), 3688; https://doi.org/10.3390/s20133688
Received: 13 February 2020 / Revised: 10 March 2020 / Accepted: 11 March 2020 / Published: 1 July 2020
(This article belongs to the Section Biosensors)
Iron deficiency (ID) is the most prevalent and severe nutritional disorder globally and is the leading cause of iron deficiency anemia (IDA). IDA often progresses subtly symptomatic in children, whereas prolonged deficiency may permanently impair development. Early detection and frequent screening are, therefore, essential to avoid the consequences of IDA. In order to reduce the production cost and complexities involved in building advanced ID sensors, the devices were fabricated using a home-built patterning procedure that was developed and used for this work instead of lithography, which allows for fast prototyping of dimensions. In this article, we report the development of graphene-based field-effect transistors (GFETs) functionalized with anti-ferritin antibodies through a linker molecule (1-pyrenebutanoic acid, succinimidyl ester), to facilitate specific conjugation with ferritin antigen. The resulting biosensors feature an unprecedented ferritin detection limit of 10 fM, indicating a tremendous potential for non-invasive (e.g., saliva) ferritin detection. View Full-Text
Keywords: biosensor; early detection; ferritin; graphene; GFET; iron deficiency; nanotechnology; non-invasive biosensor; early detection; ferritin; graphene; GFET; iron deficiency; nanotechnology; non-invasive
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MDPI and ACS Style

Oshin, O.; Kireev, D.; Hlukhova, H.; Idachaba, F.; Akinwande, D.; Atayero, A. Graphene-Based Biosensor for Early Detection of Iron Deficiency. Sensors 2020, 20, 3688.

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