Boron, Titanium, and Calcium Doped Graphene Monolayers for Alzheimer’s Disease Biomarker Detection: A Density Functional Theory Study

Alzheimer's disease remains a critical public health concern, with early detection hindered by the limited sensitivity and invasiveness of conventional diagnostic techniques. Two-dimensional monolayer materials offer a promising alternative by enabling label-free, real-time, and noninvasive detection of disease-specific biomarkers. In this study, we analyzed the effectiveness of doped graphene monolayers as biosensing platforms for two emerging biomarkers of Alzheimer's disease: glycine and d-serine. Using density functional theory, we investigated the adsorption behavior of these biomarkers on pristine graphene as well as boron-, titanium-, and calcium-doped graphene monolayers. Our results showed that calcium-doped graphene exhibits the most favorable sensing characteristics across multiple criteria. Glycine adsorption on calcium-doped graphene resulted in a recovery time of 0.170 s, indicating a rapid sensor response and high reversibility. Both biomarkers induced a semiconductor-to-metal transition, significantly enhancing electrical conductivity. Charge density and band structure analyses further revealed strong orbital interactions and substantial electronic modulation upon adsorption. These findings demonstrate that calcium-doped graphene is a promising candidate for the development of highly sensitive, reversible, and real-time biosensors for the early stage detection of Alzheimer's disease.

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Publication Details

Journal
ACS Omega
Published
2025-10-31
DOI
https://doi.org/10.1021/acsomega.5c07690
Primary Topic
Graphene and Nanomaterials Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Boron, Titanium, and Calcium Doped Graphene Monolayers for Alzheimer’s Disease Biomarker Detection: A Density Functional Theory Study

Xuan Luo, Lijia Zhou
ACS Omega
Graphene and Nanomaterials Applications
article

Boron, Titanium, and Calcium Doped Graphene Monolayers for Alzheimer’s Disease Biomarker Detection: A Density Functional Theory Study

Xuan Luo, Lijia Zhou
article en

Abstract

Alzheimer's disease remains a critical public health concern, with early detection hindered by the limited sensitivity and invasiveness of conventional diagnostic techniques. Two-dimensional monolayer materials offer a promising alternative by enabling label-free, real-time, and noninvasive detection of disease-specific biomarkers. In this study, we analyzed the effectiveness of doped graphene monolayers as biosensing platforms for two emerging biomarkers of Alzheimer's disease: glycine and d-serine. Using density functional theory, we investigated the adsorption behavior of these biomarkers on pristine graphene as well as boron-, titanium-, and calcium-doped graphene monolayers. Our results showed that calcium-doped graphene exhibits the most favorable sensing characteristics across multiple criteria. Glycine adsorption on calcium-doped graphene resulted in a recovery time of 0.170 s, indicating a rapid sensor response and high reversibility. Both biomarkers induced a semiconductor-to-metal transition, significantly enhancing electrical conductivity. Charge density and band structure analyses further revealed strong orbital interactions and substantial electronic modulation upon adsorption. These findings demonstrate that calcium-doped graphene is a promising candidate for the development of highly sensitive, reversible, and real-time biosensors for the early stage detection of Alzheimer's disease.

ACS OmegaVol. 10(44)
Applied Graphene Materials (United Kingdom) (GB)
Openalex Percentile: Top 69%
Graphene and Nanomaterials Applications
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Boron, Titanium, and Calcium Doped Graphene Monolayers for Alzheimer’s Disease Biomarker Detection: A Density Functional Theory Study — Xuan Luo, Lijia Zhou · ACS Omega (2025) | TGRS Research Map | TGRS