Evidence map›Paper›PMID 41589846›Full record

ArticleACS applied materials & interfaces2026

Microbial-Responsive Wound Dressings Based on Biopolymer Degradation Strategy for Detecting Bacterial Infections.

Sara Sadati, Marcus J Swann, Steven L Percival, Jerome Charmet, Meera Unnikrishnan, Dmitry Isakov

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Sara SadatiDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0009-0002-0728-5101
Marcus J Swann5D Health Protection Group, Accelerator Building, 1 Daulby Street, Liverpool L7 8XZ, United Kingdom.
Steven L Percival5D Health Protection Group, Accelerator Building, 1 Daulby Street, Liverpool L7 8XZ, United Kingdom.
Jerome CharmetDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, United Kingdom.
Meera UnnikrishnanDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, United Kingdom.
Dmitry IsakovWMG, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0002-3913-8096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic wounds remain a major clinical challenge due to their strong association with antibiotic-resistant microbial biofilms. These nonhealing wounds demand advanced therapeutic strategies that go beyond passive protection to actively monitor and respond to changes in the wound environment. To address this, we propose an activity-based sensing strategy that detects bacterial proteolytic activity using composition-tunable biopolymer films that degrade in response to pathogen-secreted enzymes. Gelatin films cross-linked with (3-glycidyloxypropyl)trimethoxysilane (GPTMS) and blended with poly(ethylene oxide) (PEO) were engineered to undergo selective peptide-bond cleavage by proteolytic activity. The incorporation of PEO enhanced water uptake and accelerated enzymatic degradation, with the optimal composition (25% PEO) exhibiting 4-fold faster mass loss compared to cross-linked gelatin, reaching ∼80% degradation within 12-24 h in the presence of the bacterial pathogen

Indexed as

Bacterial InfectionsBandagesPseudomonas aeruginosaBiofilmsBiopolymersGelatinHumansPolyethylene GlycolsSilanesBiopolymersGelatinPolyethylene GlycolsSilanesbacterial infection detectionenzyme-responsive materialsphysical sensorsquartz crystal microbalancesmart wound dressingswound monitoring

Identifiers

PMID41589846
PMCPMC12903060

What OpenQuestion holds

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LicenceCC BY
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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.