Evidence map›Paper›PMID 40383828›Full record

ArticleScientific reports2025

Hybridization as a promising approach to engineering the desired performance of bio-nanocomposites: GO-ZnO hybrid reinforced PCL.

Parsa Dadashi, Kosar Torbatinejad, Amir Babaei

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Parsa DadashiAdvanced Polymer Materials & Processing Lab, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran, 14174-66191, Iran.
Kosar TorbatinejadDepartment of Polymer Engineering, Faculty of Engineering, Golestan University, Gorgan, 15759-49138, Iran.
Amir BabaeiDepartment of Polymer Engineering, Faculty of Engineering, Golestan University, Gorgan, 15759-49138, Iran. a.babaei@gu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the impact of hybridizing graphene oxide (GO) with zinc oxide (ZnO) at varying ratios (1:1 and 1:2) and concentrations (0.5, 0.75, 1 wt%) on the rheological, mechanical, hydrolytic degradation, and antibacterial properties of polycaprolactone (PCL) nanocomposites. GO, ZnO, and GO-ZnO nanohybrids were synthesized and characterized using TEM, AFM, Raman, and FT-IR spectroscopy to confirm their structure and composition. PCL/ZnO nanocomposites were fabricated via solution mixing. Mechanical testing revealed that 0.5 wt% GO-ZnO (1:1) significantly enhanced tensile strength, Young's modulus, and elongation at break, owing to strong interfacial adhesion and uniform dispersion within the PCL matrix. Rheological analysis indicated increased elasticity at 1 wt%, suggesting agglomeration and altered hydrodynamic interactions, while viscosity decreased, particularly at 0.75 wt%, due to sliding effects and accelerated thermal degradation. Hydrolytic degradation tests demonstrated that 0.75 wt% GO-ZnO composites lost 70.2% weight after 26 days in PBS, compared to negligible loss in pure PCL. Antibacterial activity improved by 50% with 0.5 wt% GO-ZnO incorporation. These results underscore PCL/GO-ZnO nanocomposites' enhanced mechanical strength, rapid degradation, and antibacterial efficacy, positioning them as promising candidates for bio-packaging applications.

Indexed as

GraphiteNanocompositesPolyestersZinc OxideAnti-Bacterial AgentsElastic ModulusEscherichia coliRheologySpectroscopy, Fourier Transform InfraredTensile StrengthAnti-Bacterial Agentsgraphene oxideGraphitepolycaprolactonePolyestersZinc OxideBio-packaging applicationDegradationGO-ZnO nanohybridsPCLRheology

Identifiers

PMID40383828
PMCPMC12086186

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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.