Gasochromic-triboelectric-photodynamic multimodal patch for wound sensing and healing with congenital insensitivity to pain

Congenital insensitivity to pain (CIP) patients, face severe challenges in wound healing and are prone to exacerbated conditions from secondary injuries due to lack of pain perception. Here, a gasochromic-triboelectric-photodynamic multimodal patch (GTP-MP) is proposed to provide efficient wound sensing and healing for CIP patients, capable of monitoring the extent of wound infection and secondary damage, and achieving controlled treatment. Combined with the bionic structure design and intelligent learning algorithms, GTP-MP achieves an accuracy of 96.7% in detecting wound infections and 98% in identifying secondary injuries. In mouse models, GTP-MP enables visual monitoring by changing color in response to bacterial metabolites within the wound. Additionally, GTP-MP can perform photodynamic therapy based on color changes, with no significant toxic reactions observed post-treatment. This work offers a promising strategy for improving wound sensing and reducing complications.

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Publication Details

Journal
Nano Materials Science
Published
2025-07-01
DOI
https://doi.org/10.1016/j.nanoms.2025.06.004
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67
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Gasochromic-triboelectric-photodynamic multimodal patch for wound sensing and healing with congenital insensitivity to pain

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1 citations
Nano Materials Science
Advanced Sensor and Energy Harvesting Materials
0.67
article

Gasochromic-triboelectric-photodynamic multimodal patch for wound sensing and healing with congenital insensitivity to pain

Nan Ding, Hao Li, Zhong Lin Wang, Ming Zhang, Baodong Chen, Fang Yan, Xiaobo Gao, Lin Zheng, Wuliang Sun
article en
1 citations

Abstract

Congenital insensitivity to pain (CIP) patients, face severe challenges in wound healing and are prone to exacerbated conditions from secondary injuries due to lack of pain perception. Here, a gasochromic-triboelectric-photodynamic multimodal patch (GTP-MP) is proposed to provide efficient wound sensing and healing for CIP patients, capable of monitoring the extent of wound infection and secondary damage, and achieving controlled treatment. Combined with the bionic structure design and intelligent learning algorithms, GTP-MP achieves an accuracy of 96.7% in detecting wound infections and 98% in identifying secondary injuries. In mouse models, GTP-MP enables visual monitoring by changing color in response to bacterial metabolites within the wound. Additionally, GTP-MP can perform photodynamic therapy based on color changes, with no significant toxic reactions observed post-treatment. This work offers a promising strategy for improving wound sensing and reducing complications.

Nano Materials Science
Chinese Academy of Sciences (CN), Inner Mongolia University (CN), Chinese PLA General Hospital (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), Tianjin Metallurgical Vocational Technical College (CN), University of Chinese Academy of Sciences (CN)
Zero hunger
Openalex Percentile: Top 30%
Advanced Sensor and Energy Harvesting Materials
0.67
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