Evidence map›Paper›PMID 42151649›Full record

ArticleDiscover nano2026

Eco-friendly synthesis and antibacterial evaluation of CuO, ZnO, and CuO-ZnO nanostructures supported by DFT and molecular docking.

Trifa Khalaf Mohammed, Hezha O Rasul, Aso Hameed Hasan

Abstract read
In one paragraph

Article in Discover nano, 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.

Trifa Khalaf MohammedDepartment of Pharmaceutical Chemistry, College of Sciences, Charmo University, Peshawa Street, Chamchamal, Sulaimani, 46023, Iraq.
Hezha O RasulDepartment of Pharmaceutical Chemistry, College of Sciences, Charmo University, Peshawa Street, Chamchamal, Sulaimani, 46023, Iraq.
Aso Hameed HasanDepartment of Chemistry, College of Science, University of Garmian, Kalar, Kurdistan Region, 46021, Iraq. aso.hameed@garmian.edu.krd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant extract-mediated synthesis of metal oxide nanoparticles (MO NPs) offers a sustainable route for biomedical applications due to their biocompatibility and eco-friendly production. In this work, copper oxide (CuO), zinc oxide (ZnO), and novel CuO-ZnO nanocomposites were successfully synthesized using phytochemicals from Pistacia eurycarpa leaves. The nanostructures were comprehensively characterized by XRD, UV-Vis, SEM, EDX, and FTIR analyses, confirming crystalline phases with nanoscale spherical and rod-like morphologies. The optical band gaps (1.6-2.74 eV) indicated suitability for diverse functional applications. The antibacterial activity of the synthesized nanomaterials was evaluated against Escherichia coli and Staphylococcus aureus, revealing significant inhibitory and bactericidal effects. Complementary density functional theory calculations provided insights into their electronic properties, while molecular docking studies demonstrated strong binding interactions with bacterial target proteins Staphylococcus aureus dihydrofolate reductase (2W9H), Escherichia coli DNA gyrase B (6F86) and Estrogen receptor alpha (ERα) (5GS4), supporting their potential bioactivity. Overall, this combined experimental and computational study highlights the promising antibacterial potential of green-synthesized CuO, ZnO, and CuO-ZnO nanostructures and underscores their applicability as eco-friendly agents for biomedical applications.

Indexed as

Antibacterial activityDFTGreen synthesisMolecular dockingNanocompositesPistacia eurycarpa

Identifiers

PMID42151649
PMCPMC13184075

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.