Two-Dimensional Nitrogenated Holey Graphene (C2N) Monolayer Based Glucose Sensor for Diabetes MellitusShow others and affiliations
2022 (English)In: Applied Surface Science, ISSN 0169-4332, E-ISSN 1873-5584, Vol. 573, article id 151579Article in journal (Refereed) Published
Abstract [en]
Real-time monitoring of sugar molecules is crucial for diagnosis, controlling, and preventing diabetes. Here, we have proposed the potential of porous C2N monolayer-based glucose sensor to detect the sugar molecules (glucose, fructose, and xylose) by employing the van der Waals interactions corrected first-principles density functional theory and non-equilibrium Green’s function methods. The binding energy turns out to be -0.93 (-1.31) eV for glucose, -0.84 (-1.23) eV for fructose, and -0.81 (-1.30) eV for xylose in gas phase (aqueous medium). The Bader charge analysis reveals that the C2N monolayer donates charge to the sugar molecules. The dimensionless electron localization function highlights that glucose, fructose, and xylose bind through physisorption. The adsorption of sugar molecules on the C2N monolayer increases the workfunction compared to 3.54 eV (pristine C2N) with about 2.00 eV, indicating a suppressed probability of electron mobility. The electronic transport properties of C2N based device reveals distinct characteristics and zero-bias transmissions. The distinctive properties of the C2N monolayer can be indexed as promising identifiers for glucose sensors to detect blood sugar.
Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 573, article id 151579
Keywords [en]
Glucose Sensor, Nitrogenated Holey Graphene, 2D Materials, Electron Localization Function (ELF), First-principles Calculations, Non-equilibrium Green’s function (NEGF)
National Category
Condensed Matter Physics
Research subject
Applied Physics
Identifiers
URN: urn:nbn:se:ltu:diva-87515DOI: 10.1016/j.apsusc.2021.151579ISI: 000727849500001Scopus ID: 2-s2.0-85117142812OAI: oai:DiVA.org:ltu-87515DiVA, id: diva2:1603173
Funder
Carl Tryggers foundation , CTS: 18:4Swedish Research Council, VR-2016-06014, VR-2020-04410
Note
Validerad;2021;Nivå 2;2021-10-25 (beamah);
Funder: Olle Engkvists Stiftelse (198-0390); Abu Dhabi Department of Education and Knowledge (AARE 2019-26); Khalifa University of Science and Technology
2021-10-142021-10-142023-09-05Bibliographically approved