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Highly Sensitive Glucose Sensors Based on Gated Graphene Microwave Waveguides

Gubeljak, Patrik; Xu, Tianhui; Wlodarczyk, Jan; Eustace, William; Burton, Oliver J; Hofmann, Stephan; Malliaras, George G; (2024) Highly Sensitive Glucose Sensors Based on Gated Graphene Microwave Waveguides. Advanced Sensor Research , 3 (12) , Article 2400091. 10.1002/adsr.202400091. Green open access

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Abstract

A novel approach is demonstrated to identify glucose concentration in aqueous solutions based on the combined effect of its frequency‐dependent interaction with microwaves propagating in graphene channels and the modification of graphene radio frequency (RF) conductivity caused by physisorbed molecules. This approach combines broadband microwave sensing and chemical field effect transistor sensing in a single device, leading to information‐rich, multidimensional datasets in the form of scattering parameters. A sensitivity of 7.30 dB(mg/L)−1 is achieved, significantly higher than metallic state‐of‐the‐art RF sensors. Different machine learning methods are applied to the raw, multidimensional datasets to infer concentrations of the analyte, without the need for parasitic effect removals via de‐embedding or circuit modeling, and a classification accuracy of 100% is achieved for aqueous glucose solutions with a concentration variation of 0.09 mgL−1.

Type: Article
Title: Highly Sensitive Glucose Sensors Based on Gated Graphene Microwave Waveguides
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/adsr.202400091
Publisher version: https://doi.org/10.1002/adsr.202400091
Language: English
Additional information: © 2024 The Author(s). Advanced Sensor Research published by Wiley-VCH GmbH This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Microwaves, Sensors, Graphene, Microfludics, Machine Learning, Glucose Sensing
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > London Centre for Nanotechnology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10204179
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