Evidence map›Paper›PMID 41031260›Full record

ArticleBioMed research international2025

Characterization of Chitosan Persian Gum Hydrogel Containing Jaft and Yarrow Extracts for Enhanced Wound Healing.

Parisa Ahmadi, Maryam Jalili Tabaii, Zahra Kanannejad, Milad Mohkam

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PubMed Full text at PMC Publisher
In one paragraph

Article in BioMed research international, 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

4 authors.

Parisa AhmadiDepartment of Microbiology, Faculty of Biological Sciences and Technology, Shahid Ashrafi Esfahani University, Isfahan, Iran, ashrafi.ac.ir.
Maryam Jalili TabaiiDepartment of Microbiology, Faculty of Biological Sciences and Technology, Shahid Ashrafi Esfahani University, Isfahan, Iran, ashrafi.ac.ir.
Zahra KanannejadAllergy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran, sums.ac.ir.ORCID https://orcid.org/0000-0002-6208-9851
Milad MohkamAllergy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran, sums.ac.ir.ORCID https://orcid.org/0000-0001-6840-2119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents the development and evaluation of a novel chitosan/Persian gum hydrogel loaded with an internal layer of oak fruit (Jaft) and yarrow extracts, designed to enhance wound healing. The hydrogel was synthesized using chitosan and Persian gum, selected for their biocompatibility and ability to promote wound healing. The incorporation of Jaft and yarrow extracts was aimed at augmenting the hydrogel's therapeutic efficacy. Characterization of the hydrogel using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM) confirmed the successful integration of the extracts and revealed a semicrystalline structure with a porous morphology conducive to controlled drug release. In vitro studies demonstrated a pH-responsive release profile, with faster drug release at alkaline pH (8.5) compared to acidic and neutral pH (5.5 and 7.4). The hydrogel exhibited significant antibacterial activity, particularly against

Indexed as

ChitosanHydrogelsPlant ExtractsPlant GumsWound HealingAnimalsAnti-Bacterial AgentsEscherichia coliHydrogen-Ion ConcentrationMiceMicrobial Sensitivity TestsSpectroscopy, Fourier Transform InfraredStaphylococcus aureusAnti-Bacterial AgentsChitosanHydrogelsPlant ExtractsPlant Gumsantimicrobial activitychitosanhydrogeljaft extractPersian gumwound healingyarrow extract

Identifiers

PMID41031260
PMCPMC12407307

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.