Evidence map›Paper›PMID 40918312›Full record

ArticleRSC advances2025

Fast detection of melamine using silver nanoparticles capped with l-cysteine functionalized carbon dots.

Koffi Koffi Kra Sylvestre, Dan Li, Essy Kouadio Fodjo, Aka Alla Martin, Pomi Bi Boussou Narcisse, Irié Bi Irié Williams

Abstract read
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Koffi Koffi Kra SylvestreFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology 100 Haiquan Road Shanghai 201418 China.ORCID https://orcid.org/0009-0002-3527-088X
Dan LiFaculty of Chemical Engineering and Energy Technology, Shanghai Institute of Technology 100 Haiquan Road Shanghai 201418 China.ORCID https://orcid.org/0000-0002-2191-8836
Essy Kouadio FodjoLaboratory of Constitution and Reaction of Matter, UFR SSMT, Felix Houphouet Boigny University Abidjan 22 BP 582 Cote d'Ivoire.ORCID https://orcid.org/0000-0002-7915-7216
Aka Alla MartinLaboratory of Constitution and Reaction of Matter, UFR SSMT, Felix Houphouet Boigny University Abidjan 22 BP 582 Cote d'Ivoire.
Pomi Bi Boussou NarcisseLaboratory of Constitution and Reaction of Matter, UFR SSMT, Felix Houphouet Boigny University Abidjan 22 BP 582 Cote d'Ivoire.
Irié Bi Irié WilliamsLaboratory of Constitution and Reaction of Matter, UFR SSMT, Felix Houphouet Boigny University Abidjan 22 BP 582 Cote d'Ivoire.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melamine is an additive used fraudulently to enrich foods with nitrogen, particularly in the dairy industry. It is also known as the main metabolite or degradation phytosanitary product of cyromazine. However, the numerous incidents involving living beings in aquatic environments, children and pets fed with products made from melamine in China and certain African countries have led to distrust of melamine in food. In order to ensure strong food safety and security, and good quality of the ecosystem free of melamine, it is important to design a fast, simple, reliable and efficient method for the detection of melamine. For this purpose, silver nanoparticles capped with l-cysteine functionalized carbon dots (cCDs/AgNPs) were designed for the detection of melamine. The results showed that a yellow solution of cCDs/AgNPs turns pink and gradually blue within two minutes of heating at 90 °C in the presence of melamine even at a concentration of 0.1 μg mL

Identifiers

PMID40918312
PMCPMC12412118

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.