Evidence map›Paper›PMID 40860468›Full record

ArticleGlobal challenges (Hoboken, NJ)2025

Bactericidal, Virucidal, and Biocompatible Properties of 3D Printed Materials Enhanced with Copper and Zinc Nanoparticles.

Andrei-Florin Sandu, Lauren Acton, Phillip Gould

Abstract read
In one paragraph

Article in Global challenges (Hoboken, NJ), 2025. 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. Article
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.

Andrei-Florin SanduCoventry University Group: Coventry University Warwickshire 2706 UK.ORCID https://orcid.org/0009-0009-8628-8327
Lauren ActonCoventry University Group: Coventry University Warwickshire 2706 UK.ORCID https://orcid.org/0000-0003-3995-623X
Phillip GouldCoventry University Group: Coventry University Warwickshire 2706 UK.ORCID https://orcid.org/0000-0003-1230-6771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heightened spread of pathogens due to population growth, urbanization, and climate change presents significant health challenges, exacerbated by high transmission, virulence, antimicrobial resistance (AMR), and novel variants. Hospital-acquired infections (HAI) affect 1 in 31 hospitalized patients, costing $28.4 billion annually. This study introduces a novel approach to pathogen control by integrating copper and zinc oxide nanoparticles into 3D printed Stereolithography (SLA) materials. The 3D impregnated material demonstrates reproducibility and efficacy across different 3D platforms, showcasing complete bactericidal/fungicidal effects against twelve diverse species and a 4 log virucidal activity on eight clinically relevant viral species within 2 h. No significant cytotoxicity is observed in primary human keratinocytes after 2 h of contact. The material maintains its antipathogenic activity after a year of accelerated ageing, suggesting enhances stability and performance over time. This method addresses the limitations of conventional cleaning and surface spraying, which often fall short in efficacy and longevity; for the first time, the incorporation of commercially available nanoparticles into 3D printable materials offers a versatile long-lasting antipathogenic and biocompatible solution for high-contact surfaces in public and clinical settings, reducing the need for cleaning surfaces while limiting infection rates, the threat of AMR, and other future infectious outbreaks.

Indexed as

3D printingbactericidalbiocompatiblenanoparticlesvirucidal

Identifiers

PMID40860468
PMCPMC12371212

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.