Evidence map›Paper›PMID 39861284›Full record

ArticlePolymers2025

Biomimetic Silicone Surfaces for Antibacterial Applications.

Marie Barshutina, Dmitry Yakubovsky, Aleksey Arsenin, Valentyn Volkov, Sergey Barshutin, Anastasiya Vladimirova, Andrei Baymiev

Abstract read
In one paragraph

Article in Polymers, 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

7 authors.

Marie BarshutinaMoscow Center for Advanced Studies, Moscow 123592, Russia.
Dmitry YakubovskyMoscow Center for Advanced Studies, Moscow 123592, Russia.
Aleksey ArseninMoscow Center for Advanced Studies, Moscow 123592, Russia.ORCID 0000-0002-7506-4389
Valentyn VolkovEmerging Technologies Research Center, XPANCEO, Dubai P.O. Box 393047, United Arab Emirates.ORCID 0000-0003-2637-1371
Sergey BarshutinInstitute of Power Engineering, Instrument Engineering, and Electronics, Tambov State Technical University, Tambov 392000, Russia.
Anastasiya VladimirovaInstitute of Biochemistry and Genetics, Subdivision of the Ufa Federal Research Center of the Russian Academy of Sciences, Ufa 450054, Russia.ORCID 0000-0002-0409-7861
Andrei BaymievInstitute of Biochemistry and Genetics, Subdivision of the Ufa Federal Research Center of the Russian Academy of Sciences, Ufa 450054, Russia.ORCID 0000-0001-6637-9365

Funding

Ministry of Science and Higher Education of the Russian Federation FSMG-2021-0005Ministry of Science and Higher Education of the Russian Federation FSMG-2024-0014
6 · The paper itself

Abstract

Biomimetic patterning emerges as a promising antibiotic-free approach to protect medical devices from bacterial adhesion and biofilm formation. The main advantage of this approach lies in its simplicity and scalability for industrial applications. In this study, we employ it to produce antibacterial coatings based on silicone materials, widely used in the healthcare industry. In doing so, we patterned silicone substrates with a topography of various flower petals (rose, chamomile, pansy, and magnolia) and studied the relationship between the antibacterial properties of the obtained biomimetic substrates and their surface topography. To study the surface topography of biomimetic surfaces, we used the fractal analysis of their SEM images. In particular, as a measure of surface complexity and heterogeneity, we used the values of the developed interfacial area ratio (

Indexed as

antibacterial effectbiomimeticflower petalsfractal analysispatterned surfacessilicone interfaces

Identifiers

PMID39861284
PMCPMC11768613

What OpenQuestion holds

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LicenceCC BY
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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.