Evidence map›Paper›PMID 40370859›Full record

ArticleRSC advances2025

Cellulose nanocrystal-supported silver nanoparticles as an antibacterial additive for PVA and PLLA matrices in meat packaging.

Mohamed Aouay, Anissa Haddar, Emna Sellami, Albert Magnin, Jean-Luc Putaux, Sami Boufi

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Comprehensive Review of Silver Nanoparticles in Food Packaging Applications.International journal of molecular sciences · 2025
    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

6 authors.

Mohamed AouayUniversity of Sfax, LMSE, Faculty of Science BP 802 3018 Sfax Tunisia med_aouay@hotmail.fr.ORCID https://orcid.org/0009-0003-3812-5474
Anissa HaddarUniversity of Sfax, Laboratory for the Improvement of Plants and Valorization of Agroresources, ENIS 3038 Sfax Tunisia.ORCID https://orcid.org/0000-0003-2327-9596
Emna SellamiUniversity of Sfax, Laboratory for the Improvement of Plants and Valorization of Agroresources, ENIS 3038 Sfax Tunisia.
Albert MagninUniv. Grenoble Alpes, CNRS, Grenoble INP, LRP F-38000 Grenoble France.
Jean-Luc PutauxUniv. Grenoble Alpes, CNRS, CERMAV F-38000 Grenoble France.ORCID https://orcid.org/0000-0002-9760-5369
Sami BoufiUniversity of Sfax, LMSE, Faculty of Science BP 802 3018 Sfax Tunisia med_aouay@hotmail.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the synergistic potential of periodate-oxidized cellulose nanocrystals (CNCs) decorated with silver nanoparticles (AgNPs) to enhance the antimicrobial and mechanical properties of poly(vinyl alcohol) (PVA) and poly(l-lactic acid) (PLLA) biopolymer matrices. A concentration-dependent antibacterial activity was demonstrated against both Gram+ and Gram- bacteria, highlighting the potential of CNCs-AgNPs in inhibiting pathogenic strains. Moreover, the tensile strength of PVA and PLLA films was notably improved by incorporating CNCs-AgNPs. The filler demonstrated significant inhibitory effects on bacterial growth in chicken meat samples wrapped in PVA/CNCs-AgNPs nanocomposite films, allowing for an extension of the meat shelf life beyond acceptable microbiological limits. These results highlight the versatile capabilities of CNCs-AgNPs in polymer nanocomposites, positioning them as potent agents for antimicrobial packaging and as contenders for sustainable and functional nanomaterials in various applications.

Identifiers

PMID40370859
PMCPMC12076070

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.