Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Multimodal smart suture for dynamic postoperative wound monitoring.

Created on 09 Aug 2026

Authors

Yang Xiao, Xingyu Gao, Tingting Sun, Jiasheng Jiang, Jing Lu, Chengbin Zhu, Jiaxi Zhang, Yang Sun, Yu Zhang, Xinyi Ke, Gaoshan Huang, Shengda Tian, Xue Ke, Jiajun Li, Zhe Zhao, Xuanyong Liu

Published in

Bioactive materials. Volume 66. Pages 1186-1201. Epub Jul 30, 2026.

Abstract

Postoperative wound management remains challenging, owing to the lack of tools for continuous, localized, and quantitative assessment of wound inflammation. To address this limitation, we advance a device-level integration strategy that enables localized multimodal monitoring within a suturable platform. We develop a multifunctional smart suture by engineering a metal-organic framework (MOF) layer onto a conductive thermoelectric (TE) fiber. This unique structure integrates bifunctional electrochemical and thermoelectric sensing on a single platform for real-time monitoring of wound healing dynamics. The precise deposition of metal organic framework layer is fabricated via atomic layer deposition, which provides a highly active interface for sensitive detection of physiologically relevant hydrogen peroxide (H2O2). This method features ultra-high sensitivity (8450 μA mM-1 cm-2) and a low detection limit (77.44 nM). Meanwhile, the TE fiber enables accurate local temperature monitoring with a sensitivity of 76.60 μV K-1. The smart suture retains sufficient mechanical strength and supports biocompatibility and stable sensing performance for surgical suturing. By fusing multimodal sensing outputs with machine learning-assisted analysis, the system enables classification of inflammation-related states. Evaluated in rat wound models, the suture demonstrates the capability to monitor changes in local inflammatory responses under experimental conditions, highlighting its potential for advanced wound monitoring.

PMID:
42571253
Bibliographic data and abstract were imported from PubMed on 09 Aug 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 3
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement