A Self-Powered Thermogalvanic Hydrogel Dressing for In Situ Wound Monitoring and Enhanced Healing

Abstract Wound management critically requires the synergistic integration of real-time monitoring and precise intervention. Current electrical stimulation dressings suffer from external power dependence, poor air permeability, restricted customizability, and decoupled monitoring and treatment. Herein, this study presents a self-powered, breathable porous thermogalvanic hydrogel dressing, which employs a poly(vinyl alcohol)/poly(ethylene glycol) diacrylate double-network matrix loaded with the [Fe(CN)6]3–/4– redox couple and is endowed with personalized wound-matching capability by DLP-based 3D printing. By coupling the thermogalvanic and active piezoresistive effects, the dressing achieves real-time monitoring of wound temperature and deformation, along with additional functionality for wound exudate detection and pH visualization. Furthermore, the dressing provides biomimetic electrical stimulation without exogenous drugs or external power, enabling closed-loop monitoring and treatment. Integrated with a deep learning algorithm, the dressing delivers 96.5% wound severity classification accuracy and accelerates wound healing in mice, reaching 98.09% closure on day 14. This work offers a new paradigm for precise personalized wound management with potential for clinical translation.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2026-10-07
DOI
https://doi.org/10.1021/acssensors.6c03280
Primary Topic
Wound Healing and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Self-Powered Thermogalvanic Hydrogel Dressing for In Situ Wound Monitoring and Enhanced Healing

Sang Shengbo, Hulin Zhang, Zhou Li, Xiaojing Cui et al.
ACS Sensors
Wound Healing and Treatments
article

A Self-Powered Thermogalvanic Hydrogel Dressing for In Situ Wound Monitoring and Enhanced Healing

Sang Shengbo, Hulin Zhang, Zhou Li, Xiaojing Cui, Yu Niu, Ruixin Wei, Xinyue Jia, Chunjing Wang, Qingzhen Yang, Changchang Lu
article en

Abstract

Abstract Wound management critically requires the synergistic integration of real-time monitoring and precise intervention. Current electrical stimulation dressings suffer from external power dependence, poor air permeability, restricted customizability, and decoupled monitoring and treatment. Herein, this study presents a self-powered, breathable porous thermogalvanic hydrogel dressing, which employs a poly(vinyl alcohol)/poly(ethylene glycol) diacrylate double-network matrix loaded with the [Fe(CN)6]3–/4– redox couple and is endowed with personalized wound-matching capability by DLP-based 3D printing. By coupling the thermogalvanic and active piezoresistive effects, the dressing achieves real-time monitoring of wound temperature and deformation, along with additional functionality for wound exudate detection and pH visualization. Furthermore, the dressing provides biomimetic electrical stimulation without exogenous drugs or external power, enabling closed-loop monitoring and treatment. Integrated with a deep learning algorithm, the dressing delivers 96.5% wound severity classification accuracy and accelerates wound healing in mice, reaching 98.09% closure on day 14. This work offers a new paradigm for precise personalized wound management with potential for clinical translation.

ACS Sensors
Xi'an Jiaotong University (CN), Taiyuan University of Technology (CN), Shanxi Normal University (CN), Tsinghua University (CN)
Openalex Percentile: Top 16%
Wound Healing and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Self-Powered Thermogalvanic Hydrogel Dressing for In Situ Wound Monitoring and Enhanced Healing — Sang Shengbo, Hulin Zhang, et al. · ACS Sensors (2026) | TGRS Research Map | TGRS