Evidence map›Paper›PMID 42130907›Full record

ReviewRSC applied interfaces2026

Antibacterial surface engineering: bioinspiration from leaves to medical devices.

Dannielle M Cox-Pridmore, Eleanor Mishra, Mark Webber, Sheng Qi

Abstract readReview
In one paragraph

Review in RSC applied interfaces, 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

4 authors.

Dannielle M Cox-PridmoreSchool of Chemistry, Pharmacy and Pharmacology, Faculty of Science, University of East Anglia Norwich Research Park Norwich NR4 7TJ UK.
Eleanor MishraCentre for Microbial Interactions Norwich Research Park Norwich NR4 7UG UK.
Mark WebberQuadram Institute Rosalind Franklin Road Norwich Research Park NR4 7UQ UK.
Sheng QiSchool of Chemistry, Pharmacy and Pharmacology, Faculty of Science, University of East Anglia Norwich Research Park Norwich NR4 7TJ UK.ORCID https://orcid.org/0000-0003-1872-9572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare-acquired infections (HAIs) and the rise of antimicrobial resistance (AMR) are critical global health challenges, necessitating innovative solutions to combat pathogenic bacteria. Traditional approaches, such as antibiotics and chemical disinfectants, are increasingly ineffective due to the rapid evolution of resistant strains and their associated side effects and environmental impacts. The development of antimicrobial physical surface design strategies presents a promising alternative for reducing microbial colonisation and transmission. This review provides a comprehensive examination of antimicrobial surface geometries and topographies, focusing on physical surface strategies that prevent bacterial adhesion and biofilm formation. Inspired by naturally occurring structures such as insect wings and lotus leaves, these engineered surfaces employ nano- and micro-scale patterning to exert mechanical forces that disrupt microbial cells through membrane rupture or inhibit their attachment by limiting surface area for successful adhesion. We discuss key fabrication methods, mechanisms of action, material considerations, and clinical relevance, while also addressing challenges such as scalability, durability, and regulatory issues. By highlighting both the potential and limitations of physical surface modifications in healthcare environments, this review aims to inform future research and promote the integration of surface-based strategies in the design of next-generation medical devices and high-touch clinical surfaces.

Identifiers

PMID42130907
PMCPMC13161838

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.