ArticleRSC advances2025
Disodium EDTA-capped AuNP-engineered cotton pad as a colorimetric probe for formalin detection.
Article in RSC advances, 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.
- Toward point-of-care cancer diagnostics: gold nanoparticle-based colorimetric sensors.RSC advances · 2026Review
- Golden eyes on pollutants: colorimetric detection of emerging contaminants with AuNPs.RSC advances · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Formalin, an organic chemical containing a mixture of carbon, hydrogen, and oxygen, is a formaldehyde solution in water that is widely used as a preservative because of its antibacterial qualities. Despite being used to extend the shelf life and conceal product deterioration, it may be harmful to customers. In light of these factors, a portable, sensitive, accurate, and user-friendly platform for formalin detection is suggested here. The present study utilizes a colorimetric approach that involves the use of disodium ethylenediaminetetraacetic acid (EDTA)-capped gold nanoparticles (AuNPs) and a smartphone. A cotton pad with AuNa
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.