Evidence map›Paper›PMID 39744101›Full record

ArticleNanotheranostics2025

Preparation and Characterization of Carbon Nanodots from turmeric soot for anti-coliform and anti-oral bacterial applications and as anti-staphylococcal coatings.

Arjun Prakash, Manikandan Muthu, Gnanadeepam Raja, Judy Gopal

Abstract read
In one paragraph

Article in Nanotheranostics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Arjun PrakashSaveetha Medical College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai - 602105, Tamil Nadu, India.
Manikandan MuthuDepartment of Research and Innovation, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai - 602105, Tamil Nadu, India.
Gnanadeepam RajaDepartment of Research and Innovation, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai - 602105, Tamil Nadu, India.
Judy GopalDepartment of Research and Innovation, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai - 602105, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an era where chemical synthesis of nanomaterial is accounting for the generation of toxic wastes, leading to nanotoxicity, the present work focuses on the extraction of carbon nanodots from available natural sources such as turmeric smoke. The extracted carbon nanodots were characterized and their physical and chemical attributes were confirmed. The antibacterial property of the isolated carbon nanodots was tested against coliforms and oral bacteria. The results indicated that the carbon nanodots possessed highly versatile antibacterial activity. Carbon coatings were prepared by dip-dry method from the turmeric smoke-derived nanodots. The carbon-coated glass surfaces showed biofilm-repellant activity when exposed to pathogenic Staphylococcal cultures. The bactericidal and antibacterial activity of the in-house extracted carbon nanodots was proved. This study introduces an ecofriendly and simple rapid carbon nanomaterial synthesis process from smoke which can be extended for various other applications too.

Indexed as

Anti-Bacterial AgentsCarbonCurcumaBiofilmsHumansMicrobial Sensitivity TestsSootStaphylococcusStaphylococcus aureusAnti-Bacterial AgentsCarbonSootantibiofilmcarbon nanodotscoliformsoral bacteriasmoke

Identifiers

PMID39744101
PMCPMC11667564

What OpenQuestion holds

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LicenceCC BY
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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.