Evidence map›Paper›PMID 41350542›Full record

ArticleScientific reports2025

Color-neutral, transparent, antimicrobial glass surface based on nanostructured Cu-Zn.

Alessia Mezzadrelli, Rubaiya Hussain, Wageesha Senaratne, Prantik Mazumder, Valerio Pruneri

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alessia MezzadrelliICFO-Institut de Ciències Fotòniques, 08860, Castelldefels, Barcelona, Spain. alessia.mezzadrelli@icfo.eu.
Rubaiya HussainICFO-Institut de Ciències Fotòniques, 08860, Castelldefels, Barcelona, Spain.
Wageesha SenaratneCorning Research and Development Corporation, Sullivan Park, Corning, New York, NY, 14831, USA.
Prantik MazumderCorning Research and Development Corporation, Sullivan Park, Corning, New York, NY, 14831, USA.
Valerio PruneriICFO-Institut de Ciències Fotòniques, 08860, Castelldefels, Barcelona, Spain. valerio.pruneri@icfo.eu.

Funding

Horizon 2020 Framework Programme 956419MAGICAL PID2022-137952NB-I00
6 · The paper itself

Abstract

We present the development of transparent, color-neutral, antimicrobial surfaces tailored for integration in touchscreen display applications. Co-sputtered copper-zinc Ultra-Thin Metal Film is deposited on Gorilla®Glass substrate and subsequently annealed to perform nanostructuring. Cu-Zn mixed material maintains high antimicrobial efficacy inherent of copper while the presence of the zinc acts in dampening the color of pure copper which offers a significantly improved color neutrality. The optimized nanostructured surface exhibits optical transmission exceeding 80% in the visible spectrum and a color difference ΔE under 3 in the CIE 1976 Lab* color space, satisfying stringent display industry standards for visual clarity and neutrality. Additionally, the nanostructured surface possesses electrical insulation to support capacitive touch functionality. Antimicrobial performance was validated through biological analysis on both as-deposited and thermally annealed samples, demonstrating high bactericidal efficacy that meets the U.S. Environmental Protection Agency requirements. These findings place Cu-Zn based device as a scalable and effective solution for next-generation hygienic interactive display technologies thanks to the lithography-free fabrication process.

Indexed as

AntimicrobialNanostructuresTouch-screen displayUltra-thin metal films

Identifiers

PMID41350542
PMCPMC12686507

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.