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Detection of type-II diabetes using graphene-based biosensors

Roondhe, Basant (author)
Uppsala universitet,Materialteori,Indian Inst Technol, Dept Met Engn & Mat Sci, Nanostruct Engn & Modeling Lab, Mumbai 400076, Maharashtra, India
Saha, Sankhadip (author)
Indian Inst Technol, Dept Met Engn & Mat Sci, Nanostruct Engn & Modeling Lab, Mumbai 400076, Maharashtra, India.
Luo, Wei (author)
Uppsala Univ, Dept Phys & Astron, Mat Theory Div, Condensed Matter Theory Grp, Box 516, S-75120 Uppsala, Sweden.
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Ahuja, Rajeev, 1965- (author)
Uppsala universitet,Materialteori,Indian Inst Technol Ropar, Dept Phys, Rupnagar 140001, Punjab, India.
Saxena, Sumit (author)
Indian Inst Technol, Dept Met Engn & Mat Sci, Nanostruct Engn & Modeling Lab, Mumbai 400076, Maharashtra, India.
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 (creator_code:org_t)
Institute of Physics Publishing (IOPP), 2024
2024
English.
In: Journal of Physics D. - : Institute of Physics Publishing (IOPP). - 0022-3727 .- 1361-6463. ; 57:18
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Diabetes is a global pandemic that increases the risk of various health complications, including heart attacks, renal failure, blindness, stroke, and peripheral neuropathy. Type-2 diabetes (T2D) results from an imbalance in lipid and glucose metabolism due to hostility to insulin action and insufficient insulin production response. Valine amino acid has been identified as a potential biomarker for T2D, but there have been no rigorous studies on its interaction with branch chain amino acids. In this study, we investigated the potential of graphene/modified graphene as a valine biosensor using density functional theory to examine the electronic properties and adsorption behaviour of graphene, Si-doped graphene (SiG), and P-doped graphene (PG). The adsorption of valine over the substrates was physisorption in nature, and the adsorption energies were in the order of SiG > G > PG. Density of states (DOS) and partial DOS calculations confirmed the molecule's adsorption over the monolayers and indicated variations in the electronic properties. We also performed recovery time calculations to examine the reusability of the nano-surfaces as potential biosensors. Ultrafast recovery times were predicted for all three systems, with SiG showing the best results. Our study suggests that SiG could be used as a biosensor for valine, providing a real-time and efficient diagnostic tool for T2D.

Subject headings

NATURVETENSKAP  -- Kemi -- Teoretisk kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences -- Theoretical Chemistry (hsv//eng)

Keyword

graphene
type-II diabetes
valine
sensor
density functional theory

Publication and Content Type

ref (subject category)
art (subject category)

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