ArticleACS omega2025
Designing Bimetallic Sensors for Acetone Biomarker Detection.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- First-principles study of diabetes-associated VOCs detection from breath using nitride nanotubes.RSC advances · 2026Article
- Electrochemical and colorimetric sensing of P-xylene using doped CScientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analysis of volatile organic compounds (VOCs) in exhaled breath has emerged as a rapid method for diagnosing lung diseases. The current study focuses on the computational design of bimetallic biosensors that can detect VOC biomarkers. We performed density functional theory (DFT) calculations to investigate the adsorption of acetone as a lung cancer biomarker versus interfering air molecules (N
Identifiers
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Registered trials
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.