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A soft intelligent dressing with pH and temperature sensors for early detection of wound infection.
Zhang, Zhiyang; Su, Rui; Han, Fei; Zheng, Zhiqiang; Liu, Yuan; Zhou, Xiaomeng; Li, Qingsong; Zhai, Xinyun; Wu, Jun; Pan, Xiaohua; Pan, Haobo; Guo, Peizhi; Li, Zhaoyang; Liu, Zhiyuan; Zhao, Xiaoli.
Afiliação
  • Zhang Z; School of Materials Science and Engineering, Tianjin Key Laboratory of Composite and Functional Materials, Tianjin University Tianjin 300350 PR China.
  • Su R; Research Center for Human Tissue and Organs Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 PR China zhaoxltju@gmail.com.
  • Han F; Research Center for Human Tissue and Organs Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 PR China zhaoxltju@gmail.com.
  • Zheng Z; Institute of Materials for Energy and Environment, State Key Laboratory of Bio-fibers and Eco-textiles, School of Materials Science and Engineering, Qingdao University Qingdao 266071 PR China.
  • Liu Y; Neural Engineering Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 PR China zy.liu1@siat.ac.cn.
  • Zhou X; Research Center for Human Tissue and Organs Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 PR China zhaoxltju@gmail.com.
  • Li Q; Research Center for Human Tissue and Organs Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 PR China zhaoxltju@gmail.com.
  • Zhai X; Neural Engineering Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 PR China zy.liu1@siat.ac.cn.
  • Wu J; Neural Engineering Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055 PR China zy.liu1@siat.ac.cn.
  • Pan X; Center for Rare Earth and Inorganic Functional Materials, School of Materials Science and Engineering, National Institute for Advanced Materials, Nankai University Tianjin 300350 PR China.
  • Pan H; Shenzhen Key Laboratory for Innovative Technology in Orthopaedic Trauma, The University of Hong Kong-Shenzhen Hospital Shenzhen 518053 PR China.
  • Guo P; Southern Medical University, Shenzhen Bao'an People's Hospital, Dept Orthoped & Traumatol Shenzhen 518101 PR China.
  • Li Z; Research Center for Human Tissue and Organs Degeneration, Institute of Biomedicine and Biotechnology, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 PR China zhaoxltju@gmail.com.
  • Liu Z; Institute of Materials for Energy and Environment, State Key Laboratory of Bio-fibers and Eco-textiles, School of Materials Science and Engineering, Qingdao University Qingdao 266071 PR China.
  • Zhao X; School of Materials Science and Engineering, Tianjin Key Laboratory of Composite and Functional Materials, Tianjin University Tianjin 300350 PR China.
RSC Adv ; 12(6): 3243-3252, 2022 Jan 24.
Article em En | MEDLINE | ID: mdl-35425400
Wound infection is a common clinical problem. Traditional detection methods can not provide infection early warning information in time. With the development of flexible electronics, flexible wearable devices have been widely used in the field of intelligent monitoring. Here, we describe the development of a soft wound infection monitoring system with pH sensors and temperature sensors. The measurement range of pH was 4-10, the fitting accuracy was 99.8%, and the response time was less than 6 s. The temperature sensor array showed good accuracy and short response times in the range of 30 °C to 40 °C. A series of in vitro tests and the use of a rat model of Staphylococcus aureus infection confirmed that this flexible detection system can monitor the pH and temperature changes occurring in the early stage of infection, which provides an effective reference for clinical application.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article