Evidence map›Paper›PMID 40303355›Full record

ReviewRSC advances2025

Layer-by-layer assembly: advancing skin repair, one layer at a time.

Elias Hasan, Christopher J Lewis, Joel Giron Hernandez, Piergiorgio Gentile, Ana M Ferreira

Abstract readReview
In one paragraph

Review in RSC advances, 2025. 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. Sprayable Hydrogel Dressings in Wound-Healing Applications.Bioengineering (Basel, Switzerland) · 2026
    Review
  2. Article
  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

5 authors.

Elias HasanSchool of Engineering, Faculty of Science, Agriculture & Engineering, Newcastle University Newcastle upon Tyne UK e.a.h.h.hasan2@ncl.ac.uk Piergiorgio.gentile@ncl.ac.uk ana.ferreira-duarte@ncl.ac.uk.ORCID https://orcid.org/0000-0002-1423-0160
Christopher J LewisNorthern Regional Burn Centre, Royal Victoria Infirmary Newcastle upon Tyne UK christopher.lewis10@nhs.net.
Joel Giron HernandezApplied Sciences, Northumbria University Newcastle upon Tyne UK jo-el.l.g.hernandez@northumbria.ac.uk.
Piergiorgio GentileSchool of Engineering, Faculty of Science, Agriculture & Engineering, Newcastle University Newcastle upon Tyne UK e.a.h.h.hasan2@ncl.ac.uk Piergiorgio.gentile@ncl.ac.uk ana.ferreira-duarte@ncl.ac.uk.
Ana M FerreiraSchool of Engineering, Faculty of Science, Agriculture & Engineering, Newcastle University Newcastle upon Tyne UK e.a.h.h.hasan2@ncl.ac.uk Piergiorgio.gentile@ncl.ac.uk ana.ferreira-duarte@ncl.ac.uk.ORCID https://orcid.org/0000-0002-7728-1619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin wound management remains a critical global healthcare challenge, with annual costs exceeding £30 billion. Traditional treatments like autografts face limitations in cost, availability, and recovery times. This review explores spray-assisted Layer-by-Layer (LbL) technology as a transformative approach for wound healing, emphasising its ability to deposit natural- and synthetic-polyelectrolytes such as chitosan, alginate, hyaluronic acid, and collagen into nanoscale coatings. These biocompatible multilayers integrate therapeutic agents to accelerate healing, reduce infections, and mimic native extracellular matrix structures. The work highlights emerging spray device innovations that optimise spray parameters to enhance cell viability, coverage, and clinical outcomes. While LbL techniques demonstrate versatility across substrates and scalability

Identifiers

PMID40303355
PMCPMC12039284

What OpenQuestion 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 OpenQuestion graph.