Evidence map›Paper›PMID 39613804›Full record

ArticleScientific reports2024

Mechanical characteristics and antibacterial activity against Staphylococcus aureus of sustainable cellulosic paper coated with Ag and Cu modified ZnO nanoparticles.

Ramadan A Geioushy, Samya El-Sherbiny, Eslam T Mohamed, Osama A Fouad, Marwa Samir

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. Unlocking the Hidden Potential ofInternational journal of molecular sciences · 2025
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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

5 authors.

Ramadan A GeioushyCentral Metallurgical Research and Development Institute, Helwan, P.O. Box: 87, Cairo, 11421, Egypt. r_gushy@yahoo.com.
Samya El-SherbinyPaper and Printing Laboratory, Chemistry Department, Faculty of Science, Helwan University, Helwan, Egypt.
Eslam T MohamedBotany and Microbiology Department, Faculty of Science, Helwan University, Helwan, Egypt.
Osama A FouadCentral Metallurgical Research and Development Institute, Helwan, P.O. Box: 87, Cairo, 11421, Egypt.
Marwa SamirPaper and Printing Laboratory, Chemistry Department, Faculty of Science, Helwan University, Helwan, Egypt. marwasamier@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, zinc oxide (ZnO) nanoparticles were prepared and modified using a wet chemical method with different concentrations of Ag and Cu nanoparticles. The objective was to improve the mechanical, optical, and antibacterial properties of the coated paper by using the prepared pigments. The long-term antimicrobial effects of the coated paper were evaluated over 25 years. The successful synthesis of a hexagonal structure of ZnO nanoparticles decorated with spherical Ag and Cu nanoparticles ranging from 20 to 50 nm was confirmed using X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and transmission electron microscopy (TEM). By increasing the concentrations of Ag and Cu from 0.01% to 1.0%, the mechanical properties of the coated paper were enhanced. The tensile strength reached a maximum of 6.77 kN/m and 7.03 kN/m, elongation increased to 1.69% and 1.70%, tensile energy absorption improved to approximately 77 and 80 J/m

Indexed as

Anti-Bacterial AgentsCelluloseCopperMetal NanoparticlesSilverStaphylococcus aureusZinc OxideMicrobial Sensitivity TestsPaperTensile StrengthX-Ray DiffractionAnti-Bacterial AgentsCelluloseCopperSilverZinc OxideAntimicrobial effectCoated paperMechanical characteristicsOptical characteristicsPaper ageing

Identifiers

PMID39613804
PMCPMC11607076

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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.