Evidence map›Paper›PMID 38791366›Full record

ArticleInternational journal of molecular sciences2024

Comparison of Antimicrobial Properties of Graphene Oxide-Based Materials, Carbon Dots, and Their Combinations Deposited on Cotton Fabrics.

Zakhar Ivanovich Evseev, Lidia Andreevna Tarasova, Fedora Dmitrievna Vasilieva, Marfa Nikitichna Egorova, Petr Stanislavovich Dmitriev, Yana Aleksandrovna Akhremenko, Svetlana Afanasyevna Smagulova

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

Zakhar Ivanovich EvseevInstitute of Physics and Technologies, North-Eastern Federal University, 677000 Yakutsk, Russia.
Lidia Andreevna TarasovaMedical Institute, North-Eastern Federal University, 677000 Yakutsk, Russia.
Fedora Dmitrievna VasilievaInstitute of Physics and Technologies, North-Eastern Federal University, 677000 Yakutsk, Russia.
Marfa Nikitichna EgorovaInstitute of Physics and Technologies, North-Eastern Federal University, 677000 Yakutsk, Russia.
Petr Stanislavovich DmitrievInstitute of Physics and Technologies, North-Eastern Federal University, 677000 Yakutsk, Russia.
Yana Aleksandrovna AkhremenkoMedical Institute, North-Eastern Federal University, 677000 Yakutsk, Russia.
Svetlana Afanasyevna SmagulovaInstitute of Physics and Technologies, North-Eastern Federal University, 677000 Yakutsk, Russia.

Funding

Russian Science Foundation 24-22-20035
6 · The paper itself

Abstract

The rise in the antibiotic resistance of bacteria has increased scientific interest in the study of materials with unique mechanisms of antimicrobial action. This paper presents the results of studies on the antimicrobial activity of carbon materials and textiles decorated with them. A comparative analysis of the bactericidal and fungicidal activities of graphene oxide, electrochemically exfoliated multigraphene, carbon dots, and their combinations was performed. Microbiological studies on reference strains of

Indexed as

Anti-Infective AgentsCotton FiberGraphiteCandida albicansCarbonEscherichia coliMicrobial Sensitivity TestsQuantum DotsStaphylococcus aureusTextilesAnti-Infective AgentsCarbongraphene oxideGraphiteantimicrobial nanomaterialsantimicrobial textilescarbon dotselectrochemically exfoliated multigraphenegraphene oxide

Identifiers

PMID38791366
PMCPMC11121348

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.