Preparation of Active On-Demand Antibacterial Hydrogel Epidermis Electrodes Based on Flora Balance Strategy for Intelligent Prostheses.

Journal: ACS applied materials & interfaces
Published Date:

Abstract

Hydrogel epidermis electrodes have demonstrated remarkable potential for stable electrophysiological signal acquisition in the field of intelligent prostheses. However, current hydrogel electrodes face challenges in providing on-demand antibacterial effects due to dynamic skin conditions, such as sweating, which may induce skin inflammation, thus limiting their practical applications. Herein, an active on-demand antibacterial hydrogel electrode is prepared by encapsulating () into the hydrogel electrode based on the strategy of flora balance. The encapsulated metabolizes nutrients from sweat to produce antibacterial substances, achieving an 82% inhibition rate against over a 24-h period. With on-demand antibacterial properties, low interfacial impedance, and strong adhesion, the hydrogel electrode enables the acquisition of various high-quality electrophysiological signals with a signal-to-noise ratio of 22.2 dB after 12 h of attachment, much higher than that of commercial hydrogel electrodes. When combined with machine learning models to decode electromyographic signals, the electrode system achieves the high gesture recognition accuracy of 95%. Furthermore, the stable signal acquisition enabled by the antibacterial hydrogel electrode facilitates real-time wireless control of robotic hands, providing a robust technical platform for intelligent prosthetic applications.

Authors

  • Yifei Sun
    School of Physics and Information Technology, Shaanxi Normal University, Xi'an, China.
  • Mingxuan Xiao
    State Key Laboratory of Optoelectronic Materials and Technologies and the Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510275, China.
  • Zhenxuan Tang
    Institute of Flexible Electronics (IFE, Future Technologies), Xiamen University, Xiang'an South Road, Xiamen 361102, Fujian, China.
  • Haibo Wu
    Department of Pathology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, Anhui Province, China; Intelligent Pathology Institute, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, Anhui Province, China.
  • Siyuan Cheng
    State Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (Nanjing Tech), Nanjing 211816, China.
  • Xu Han
  • Xiaolong Xu
    Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China.
  • Weikang Chen
    Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, China.
  • Kai Tao
    Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
  • Baoli Zha
    State Key Laboratory of Flexible Electronics (LoFE) & Institute of Advanced Materials (IAM), School of Flexible Electronics (Future Technologies), Nanjing Tech University (Nanjing Tech), Nanjing 211816, China.
  • Fengwei Huo
    Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM) Nanjing Tech University (NanjingTech) 30 South Puzhu Road Nanjing 211816 P. R. China.
  • Jin Wu
    School of Information and Software Engineering, University of Electronic Science and Technology of China, China. Electronic address: wj@uestc.edu.cn.
  • Ruijie Xie
    Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.