H<sub>2</sub>O<sub>2</sub>‐Driven Aggregation Induced Emission‐Based Nanomotors for the Monitoring and Treatment of Infected Surgical Wound
Post-operative surgical wound monitoring remains a significant clinical challenge in preventing bacterial infection. Current methods rely on indirect observations or costly investigations, often detecting infections only after complications arise. Here the medical sutures coated with Janus-type nanomotors (Pt-MOFs) with infected microenvironment-responsive properties for monitoring and treating surgical site infections are prepared. The Pt-MOFs nanomotors exhibit efficient self-propulsion with enhanced penetration and diffusion in biofilms by catalyzing hydrogen peroxide to produce oxygen bubbles. Copper ions serve dual roles as structural nodes and Fenton-like catalysts, generating antibacterial hydroxyl radicals while forming non-emissive self-aggregates. Here in vitro is shown that Pt-MOFs nanomotors present excellent bacterial imaging and enhanced antibacterial activity against both Gram-positive and Gram-negative bacteria. As a proof of concept, Pt-MOFs nanomotors coated surgical sutures successfully monitor the process of Staphylococcus aureus-infected wounds on mouse model. Furthermore, in vivo studies testify that Pt-MOFs nanomotors play an important role in treating infected surgical wounds through mitigating inflammatory infiltrates, facilitating collagen deposition and accelerating reepithelialization. This combined monitoring and treatment approach offers a promising strategy for surgical wound healing.
Authors
- Zhongmin Geng (ORCID: https://orcid.org/0000-0002-7857-0607)
- Jiyao Xing (ORCID: https://orcid.org/0000-0002-6700-8918)
- Shuya Liang
- Dan Wang (ORCID: https://orcid.org/0000-0002-3515-4590)
- Dongming Xing (ORCID: https://orcid.org/0000-0001-7427-0861)
- Zongying Zhang
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Small
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1002/smll.202500207
- Citations
- 10
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 12.58
Funders
- National Natural Science Foundation of China