Evidence map›Paper›PMID 37050003›Full record

ArticleMolecules (Basel, Switzerland)2023

Silver Nanoparticles Loaded on Chitosan-g-PVA Hydrogel for the Wound-Healing Applications.

Fahad M Aldakheel, Dalia Mohsen, Marwa M El Sayed, Khaled Ali Alawam, AbdulKarim S Binshaya, Shatha A Alduraywish

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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.

Fahad M AldakheelDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia.ORCID 0000-0001-8047-8650
Dalia MohsenClinical Laboratory Sciences Program, Inaya Medical College, Riyadh 12211, Saudi Arabia.ORCID 0000-0002-9993-3809
Marwa M El SayedChemical Engineering and Pilot Plant Department, National Research Centre, Giza 12622, Egypt.ORCID 0000-0001-7812-5952
Khaled Ali AlawamRespiratory Therapy Program, Inaya Medical Colleges, Riyadh 12211, Saudi Arabia.
AbdulKarim S BinshayaDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sultan University, Al Kharj 16242, Saudi Arabia.
Shatha A AlduraywishDepartment of Family and Community Medicine, College of Medicine, King Saud University, Riyadh 4545, Saudi Arabia.

Funding

KSU (RSP 2022R506)
6 · The paper itself

Abstract

Silver nanoparticle composites have abundant biomedical applications due to their unique antibacterial properties. In the current work, green tea leaf extract was used as a natural reducing agent to synthesize AgNPs (AgNPs) using microwave irradiation technology. Furthermore, microwave irradiation has been used for the preparation of AgNPs/chitosan (Ch) grafted polyvinyl alcohol (PVA) hydrogel samples. To approve the accomplishment of AgNPs hydrogel polymer, UV-spectrum, TEM, and FT-IR spectrum analyses and the release of silver ions, actions were taken. The wound-healing ability of the prepared hydrogel samples was measured via both the in vitro (fibroblast cells) and the in vivo using rat models. It was found that chitosan-grafted polyvinyl alcohol, including AgNPs, exhibited excellent antibacterial activity against

Indexed as

ChitosanMetal NanoparticlesAnimalsAnti-Bacterial AgentsEscherichia coliHydrogelsPolyvinyl AlcoholRatsSilverSpectroscopy, Fourier Transform InfraredStaphylococcus aureusAnti-Bacterial AgentsChitosanHydrogelsPolyvinyl Alcoholpolyvinyl alcohol hydrogelSilverantimicrobial activitychitosanhydrogelmicrowave irradiationpolyvinyl alcoholsilver nanoparticles

Identifiers

PMID37050003
PMCPMC10096253

What OpenQuestion holds

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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.