Detection of type-Ⅱ diabetes using graphene-based biosensors Article Swipe
Basant Roondhe
,
Sankhadip Saha
,
Wei Luo
,
Rajeev Ahuja
,
Sumit Saxena
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1361-6463/ad2336
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1088/1361-6463/ad2336
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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1361-6463/ad2336
- OA Status
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- References
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All OpenAlex metadata
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https://openalex.org/W4391246712Canonical identifier for this work in OpenAlex
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https://doi.org/10.1088/1361-6463/ad2336Digital Object Identifier
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Detection of type-Ⅱ diabetes using graphene-based biosensorsWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-26Full publication date if available
- Authors
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Basant Roondhe, Sankhadip Saha, Wei Luo, Rajeev Ahuja, Sumit SaxenaList of authors in order
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https://doi.org/10.1088/1361-6463/ad2336Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1088/1361-6463/ad2336Direct OA link when available
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Graphene, Biosensor, Type 2 diabetes, Nanotechnology, Materials science, Diabetes mellitus, Medicine, EndocrinologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5033429746 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I162827531 |
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| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.65911692 |
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| citation_normalized_percentile.is_in_top_10_percent | False |