Evidence map›Paper›PMID 40392633›Full record

ArticleACS sensors2025

Nanocellulose Wound Dressings with Integrated Protease Sensors for Detection of Wound Pathogens.

Olof Eskilson, Emanuel Wiman, Nina Reustle, Jakob Langwagen, Zeljana Sotra, Anna Svärd, Robert Selegård, Yağmur Baş, Linn Berglund, Kristiina Oksman and 4 more

Abstract read
In one paragraph

Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors.

Olof EskilsonLaboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology (IFM), Linköping University, Linköping SE-58183, Sweden.ORCID 0000-0002-1636-8710
Emanuel WimanUnit of Microbiology, Immunology and Reproductive Science, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro 703 62, Sweden.
Nina ReustleLaboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology (IFM), Linköping University, Linköping SE-58183, Sweden.
Jakob LangwagenLaboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology (IFM), Linköping University, Linköping SE-58183, Sweden.
Zeljana SotraCentre for Disaster Medicine and Traumatology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping 581 85, Sweden.ORCID 0000-0001-7912-6105
Anna SvärdUnit of Microbiology, Immunology and Reproductive Science, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro 703 62, Sweden.
Robert SelegårdLaboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology (IFM), Linköping University, Linköping SE-58183, Sweden.ORCID 0000-0002-1781-1489
Yağmur BaşDivision of Materials Science, Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå 971 87, Sweden.
Linn BerglundDivision of Materials Science, Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå 971 87, Sweden.ORCID 0000-0002-6247-5963
Kristiina OksmanDivision of Materials Science, Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå 971 87, Sweden.ORCID 0000-0003-4762-2854
Torbjörn BengtssonUnit of Microbiology, Immunology and Reproductive Science, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro 703 62, Sweden.
Johan P E JunkerCentre for Disaster Medicine and Traumatology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping 581 85, Sweden.
Hazem KhalafUnit of Microbiology, Immunology and Reproductive Science, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro 703 62, Sweden.
Daniel AiliLaboratory of Molecular Materials, Division of Biophysics and Bioengineering, Department of Physics, Chemistry and Biology (IFM), Linköping University, Linköping SE-58183, Sweden.ORCID 0000-0002-7001-9415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wound infections result in delayed healing, morbidity, and increased risks of sepsis. Early detection of wound infections can facilitate treatment and reduce the need for the excessive use of antibiotics. Proteases are normally active during the healing process but are overexpressed during infection as part of the inflammatory response. Proteases are also produced by the bacteria infecting the wounds, making proteases a highly relevant biomarker for infection monitoring. Here, we show a fluorescence turn-on sensor for real-time monitoring of protease activity in advanced nanocellulose wound dressings for rapid detection of wound pathogens. Colloidal gold nanoparticles (AuNPs) were adsorbed on bacterial cellulose (BC) nanofibrils by using a carefully optimized self-assembly process. The AuNPs could either be homogeneously incorporated in BC dressings or 3D printed in wood-derived cellulose nanofiber (CNF) dressings using a BC-AuNP ink. The BC-adsorbed AuNPs were subsequently functionalized with fluorophore-labeled protease substrates. Cleavage of the substrates by proteases produced by the wound pathogens

Indexed as

BandagesBiosensing TechniquesCellulosePeptide HydrolasesPseudomonas aeruginosaStaphylococcus aureusWound InfectionGoldHumansMetal NanoparticlesNanofibersCelluloseGoldPeptide Hydrolasesbacteriagold nanoparticlesnanocelluloseproteasewound infection

Identifiers

PMID40392633
PMCPMC12210249

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.