Evidence map›Paper›PMID 41402456›Full record

ArticleScientific reports2025

Computational study on B, N, and Si-doped C60 nanocages for acetone detection in heart failure diagnosis and environmental remediation.

Abdulwahab Alamri, Ahmed Alafnan

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. In silico investigation of BCFrontiers in chemistry · 2026
    Article
  3. Article
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.

Abdulwahab AlamriDepartment of Pharmacology and Toxicology, College of Pharmacy, University of Ha'il, 55476, Hail, Saudi Arabia. A.ALAMRY@UOH.EDU.SA.
Ahmed AlafnanDepartment of Pharmacology and Toxicology, College of Pharmacy, University of Ha'il, 55476, Hail, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acetone is a volatile organic compound that acts both as an environmental pollutant and as a biomarker for metabolic disorders such as heart failure. Therefore, early and sensitive detection of acetone is of great importance for environmental monitoring and medical diagnosis. Recent advances in carbon-based nanomaterials, especially C60 fullerene, have shown promise in the development of highly sensitive and selective sensors. Building on this background, the present study aimed to design and theoretically evaluate a pristine C60-based sensor and its doping forms with B, N, Si for acetone detection using density functional theory (DFT) and quantum theory of atoms in molecules (QTAIM). Key parameters including adsorption energy (Eads), recovery time (τ), electrical conductivity (σ), HOMO-LUMO gap (HLG), and dipole moment (μ) were computationally studied. The results show that SiC59 acts as a highly sensitive sensor, exhibiting a strong adsorption energy of - 137.17 kJ mol

Indexed as

AcetoneEnvironmental Restoration and RemediationFullerenesHeart FailureNanostructuresAdsorptionHumansNitrogenSiliconAcetonefullerene C60FullerenesNitrogenSiliconAcetone detectionEnvironmental pollutantHeart failureMedical PhysicsQuantum ChemistrySensor

Identifiers

PMID41402456
PMCPMC12722707

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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.