Evidence map›Paper›PMID 39737389›Full record

Article3 Biotech2025

Comparing the effectiveness of curcumin and papain in wound dresses based on chitosan nanoparticle.

Niloufar Elhami, Mohammad Pazhang, Younes Beygi-Khosrowshahi, Amir Dehghani

Abstract read
In one paragraph

Article in 3 Biotech, 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.

Niloufar ElhamiDepartment of Biology, Faculty of Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran.
Mohammad PazhangDepartment of Biology, Faculty of Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran.ORCID 0000-0001-8928-4561
Younes Beygi-KhosrowshahiDepartment of Chemical Engineering, Faculty of Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran.
Amir DehghaniDepartment of Biology, Faculty of Sciences, Azarbaijan Shahid Madani University, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, chitosan/curcumin (CS/Cur) and chitosan/papain (CS/Pa) nanoparticles were prepared and then characterized by Fourier transform infrared (FTIR), X-ray diffraction (XRD), and differential light scattering (DLS). Subsequently, release rate, porosity, swelling, degradability, anti-inflammatory, antioxidant, antibacterial, and cell viability tests were conducted to investigate and compare the healing potential of the nanoparticles for various types of wounds. The results of FTIR, XRD, and DLS indicated that the nanoparticles were manufactured correctly with a hydrodynamic diameter of 429 nm (CS/Cur) and 460 nm (CS/Pa), and zeta potential of 4.32 mV (CS/Cur) and 7.57 mV (CS/Pa). The release rate results indicated a higher release rate in a basic environment (pH 8.4) for curcumin, a higher release rate for papain in an acidic environment (pH 6.4), and the Korsmeyer-Peppas model for the release of curcumin and papain. The results indicated that CS/Cur with 41.6% antioxidant activity, high antibacterial effect, and cell growth up to 616% during 7 days, was more effective than CS/Pa. In comparison, CS/Pa (with a porosity of 70.5% and a swelling rate of 1392%) was more advantageous than CS/Cur in terms of porosity and swelling. In addition, CS/Cur was as effective as CS/Pa in terms of degradation and anti-inflammatory properties. In conclusion, the outcomes represented that the CS/Cur and CS/Pa nanoparticles improved wound healing, and each was suitable for specific wounds and wound healing stages.

Indexed as

Chitosan nanoparticlesCurcuminPapainWound healing

Identifiers

PMID39737389
PMCPMC11682025

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.