Evidence map›Paper›PMID 41699105›Full record

ArticleScientific reports2026

Green fabrication of PVA based biofilms incorporated with shrimp shell derived chitosan, plasticized with PEG or Gly and reinforced by biosynthesized ZnO nanoparticles.

Fariba Ezzatabadipour, Zahra Ghasemi, Mehdi Haji Abdolrasouli

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. 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

3 authors.

Fariba EzzatabadipourDepartment of Fisheries, Faculty of Marine Science and Technology, University of Hormozgan, Bandar Abbas, 7916193145, Iran.
Zahra GhasemiDepartment of Fisheries, Faculty of Marine Science and Technology, University of Hormozgan, Bandar Abbas, 7916193145, Iran. z.ghasemi@hormozgan.ac.ir.ORCID https://orcid.org/0000-0002-8643-3100
Mehdi Haji AbdolrasouliNanoscience, Nanotechnology and Advanced Materials Research Center, University of Hormozgan, Bandar Abbas, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports the development of eco-friendly nanocomposite biofilms (NCBFs) based on Polyvinyl alcohol (PVA) and chitosan extracted from shrimp shells (SSDCs), reinforced with biosynthesized zinc oxide nanoparticles (BioZnO NPs) derived from Avicennia marina leaf extract. Polyethylene glycol (PEG) and glycerol (Gly) were incorporated as plasticizers to enhance film flexibility and processability. The resulting NCBFs were characterized using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), tensile testing, migration stability analysis, and water vapor permeability measurements. XRD analysis confirmed the high-purity crystalline phase of BioZnO NPs and revealed characteristic diffraction peaks corresponding to both BioZnO NPs and SSDCs within the NCBF matrices, thereby validating successful composite formation. Incorporation of BioZnO NPs at an optimum concentration significantly enhanced tensile strength (59.91 MPa), elongation at break (93.56%), and elastic modulus (66.76 MPa), while simultaneously reducing water vapor transmission (0.48 × 10

Indexed as

Animal ShellsBiofilmsChitosanMetal NanoparticlesPolyethylene GlycolsPolyvinyl AlcoholZinc OxideAnimalsGlycerolGreen Chemistry TechnologyNanocompositesNanoparticlesPermeabilitySpectroscopy, Fourier Transform InfraredTensile StrengthX-Ray DiffractionChitosanGlycerolPolyethylene GlycolsPolyvinyl AlcoholZinc OxideAvicennia marinaBiopolymerGreen nanobiocompositesZinc oxide reinforcement

Identifiers

PMID41699105
PMCPMC13000200

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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.