Evidence map›Paper›PMID 37764185›Full record

ArticleMicroorganisms2023

Myco-Synthesized Selenium Nanoparticles as Wound Healing and Antibacterial Agent: An In Vitro and In Vivo Investigation.

Heba El-Sayed, Mostafa Y Morad, Hana Sonbol, Olfat A Hammam, Rehab M Abd El-Hameed, Rania A Ellethy, Amina M Ibrahim, Marwa A Hamada

Abstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Green synthesis of purpleMaterials today. Bio · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. 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

8 authors.

Heba El-SayedBotany and Microbiology Department, Faculty of Science, Helwan University, Helwan 11795, Egypt.ORCID 0000-0003-2962-6755
Mostafa Y MoradZoology and Entomology Department, Faculty of Science, Helwan University, Helwan 11795, Egypt.ORCID 0000-0001-9005-7032
Hana SonbolDepartment of Biology, College of Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0001-7074-5444
Olfat A HammamPathology Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.
Rehab M Abd El-HameedBotany and Microbiology Department, Faculty of Science, Helwan University, Helwan 11795, Egypt.
Rania A EllethyChemistry Department, Faculty of Science, Helwan University, Ain Helwan, Cairo 11795, Egypt.
Amina M IbrahimMedical Malacology Department, Theodor Bilharz Research Institute, Giza 12411, Egypt.
Marwa A HamadaBotany and Microbiology Department, Faculty of Science, Helwan University, Helwan 11795, Egypt.ORCID 0000-0001-8533-7718

Funding

Princess Nourah bint Abdulrahman University PNURSP2023R83
6 · The paper itself

Abstract

Bacterial-associated wound infections are an obstacle for individuals and the medical industry. Developing versatile, antibiotic-free therapies helps heal wounds more quickly and efficiently. In the current study, fungal metabolites were employed as a reducing agent in fabricating selenium nanoparticles (SeNPs) for improved antibacterial and wound healing properties. Utilizing UV-visible spectroscopy, dynamic light scattering (DLS), zeta potential, X-ray diffraction (XRD), and electron microscopic examination, the properties of the synthesized nanoparticles were extensively evaluated. Myco-synthesized SeNPs demonstrated strong antibacterial activity against

Indexed as

antibacterialdocking studypro-inflammatory cytokinesselenium nanoparticlesStaphylococcus aureuswound healing

Identifiers

PMID37764185
PMCPMC10536823

What OpenQuestion holds

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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.