Evidence map›Paper›PMID 40692380›Full record

ArticleAdvanced healthcare materials2025

Roll-To-Roll Production of Smart Dressings for Wound Monitoring.

Ziheng Wang, Yujin Ahn, Semin Kwon, Tianhao Yu, Yumin Dai, Julia Walsh, Joo Hun Lee, Sang Mok Park, Seul Ah Lee, Murtuza Peerbhai and 5 more

Erratum issuedAbstract read
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In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
  2. Recent Advances in Decoupling Strategies for Soft Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Ziheng WangSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Yujin AhnDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Semin KwonWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Tianhao YuSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Yumin DaiSchool of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Julia WalshWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Joo Hun LeeDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Sang Mok ParkWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Seul Ah LeeWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Murtuza PeerbhaiMonticello Podiatry, LLC, Monticello, IN, 47960, USA.
Chandan K SenMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Hyowon LeeWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Young L KimWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
Hyunjoon KongDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Chi Hwan LeeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA.ORCID 0000-0002-4868-7054

Funding

Smart soft contact lenses for continuous 24-hour monitoring of intraocular pressure in glaucoma careR01EY034901 · NEI · PURDUE UNIVERSITY · PI Bryan William Boudouris, PETE S KOLLBAUM · 2024 to 2026
$1.6M
Korea Institute for Advancement of Technology P0028319National Institutes of Health, National Eye Institute (NIH NEI) R01EY034901NEI NIH HHS R01 EY034901
6 · The paper itself

Abstract

Chronic wounds require real-time monitoring to assess wound status and prevent complications. While colorimetric sensors provide a user-friendly, equipment-free approach with visible feedback, their clinical adoption is hindered by limited scalability, poor integration with commercial dressings, and susceptibility to interference from wound exudates-factors that have largely confined existing systems to laboratory research and prevented their practical use in clinical settings. Here, the first roll-to-roll production of smart dressings at a large scale and high throughput, with colorimetric sensors for real-time and historical wound monitoring is presented. This method enables high-throughput production, achieving over 10 impressions per minute on formats up to 50 cm × 50 cm, using biocompatible inks for precise multi-layer printing. In situ testing on a 14-day mouse wound model demonstrates their ability to detect early signs of infection, validating their functionality in physiologically relevant conditions. This study addresses the manufacturability gap in colorimetric wound sensing, providing a scalable, cost-effective, and clinically translatable solution for both clinical and home use.

Indexed as

BandagesWound HealingWounds and InjuriesAnimalsColorimetryMiceMonitoring, Physiologiccolorimetric sensingRoll‐to‐roll (R2R) manufacturingsmart wound dressingswound healing assessment

Identifiers

PMID40692380
PMCPMC12538542

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.