Evidence map›Paper›PMID 41244451›Full record

ArticleACS omega2025

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

Leon Zhou, Xuan Luo

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Leon ZhouNational Graphene Research and Development Center, Springfield, Virginia 22151, United States.ORCID https://orcid.org/0009-0000-2258-1115
Xuan LuoNational Graphene Research and Development Center, Springfield, Virginia 22151, United States.ORCID https://orcid.org/0000-0002-0592-0610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41244451
PMCPMC12613114

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.