Evidence map›Paper›PMID 42395533›Full record

ArticlebioRxiv : the preprint server for biology2026

Healing cascades and infections in wounds monitored using a wearable sensor of gaseous flux.

Seunghee Cho, Ansen Tan, Zixi Chen, Kyung Rok Pyun, Shupeng Li, Fujie Yin, Aiwa Zhang, Neena Feldman, Evan J Neuhart, Amara Devi Moreno and 7 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Seunghee ChoQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Ansen TanQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Zixi ChenDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
Kyung Rok PyunQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Shupeng LiDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA.
Fujie YinDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL, USA.
Aiwa ZhangQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Neena FeldmanQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Evan J NeuhartDepartment of Biomedical Engineering, Northwestern University, Evanston, IL, USA.
Amara Devi MorenoCenter for Advanced Regenerative Engineering, Northwestern University, Evanston, IL, USA.
Joyce Eunsung YoonQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Jaeho ShinExperimental Advanced Engineering and Science Lab, Molecular Recognition Research Center, Korea Institute of Science and Technology (KIST), Seoul, South Korea.
Joseph Woojin SongQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Jacob TruebQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Yonggang HuangQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Guillermo A AmeerQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
John A RogersQuerrey-Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.

Funding

Telemetric Regenerative Bandage for Accelerating Wound HealingR01DK131302 · NIDDK · NORTHWESTERN UNIVERSITY · PI AMEER, GUILLERMO ANTONIO, ROGERS, JOHN · 2021 to 2025
$3.2M
NIDDK NIH HHS R01 DK131302
6 · The paper itself

Abstract

Capabilities for quantitative monitoring of chronic wounds remain an unmet clinical need, as existing diagnostic approaches rely on semiquantitative evaluation of symptoms that lack sensitivity especially during early stages of infection. Here we present a scheme for tracking wound physiology that leverages a miniature, wireless skin-interfaced device for non-contact, transient measurements of the flux of volatile organic compounds (VOCs) and water vapor from the wound microenvironment. Unlike emerging smart bandage platforms that rely on physical contact with the fragile wound bed to interrogate liquid-phase biomarkers, this strategy uses an engineered microclimate and suspended suite of sensors to measure the diffusive transport of wound-derived gases across the wound surface but separated from it. The result enables quantitative evaluation of metabolic activity and healing progression without perturbing the healing tissues. In biofilm growth models of

Indexed as

bioelectronicsBiological SciencesEngineeringsensorswounds

Identifiers

PMID42395533
PMCPMC13321073

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.