Flexible wearable sensor based on SF/EEP/GR/MXene nanocomposites
作者全名:"Fan, Yanli; Kong, Fankai; Yang, Jiaqi; Xiong, Xingliang; Gao, Shasha; Yuan, Jie; Meng, Shuo; Chen, Longcong"
作者地址:"[Fan, Yanli; Yang, Jiaqi; Xiong, Xingliang; Gao, Shasha; Yuan, Jie; Meng, Shuo; Chen, Longcong] Chongqing Med Univ, Chongqing, Peoples R China; [Fan, Yanli] Army Med Univ, Affiliated Hosp 2, Chongqing, Peoples R China; [Kong, Fankai] Shenzhen Univ, Chongqing, Peoples R China"
通信作者:"Chen, LC (通讯作者),Chongqing Med Univ, Chongqing, Peoples R China."
来源:APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING
ESI学科分类:PHYSICS
WOS号:WOS:001031081300003
JCR分区:Q2
影响因子:2.5
年份:2023
卷号:129
期号:8
开始页:
结束页:
文献类型:Article
关键词:Wearable sensors; Electrospinning; Flexibility; MXene; Human motion monitoring
摘要:"Fexible wearable sensors (FWSs), a hot research topic, have been widely used in the field of electronic skin, personal wear, electric equipment, and human-computer interaction because of their excellent flexibility, breathability, and sensing performance. However, the biocompatibility, flexibility, antibacterial activity, and breathability of FWS need to be investigated further. Herein, we propose a silk fibroin (SF)/propolis (EEP)/graphene(GR)/MXene nanocomposite-based FWS with antibacterial properties. This breathable and highly sensitive sensor was prepared by sequentially spraying GR and MXene dispersions onto SF/EEP nanocomposite fiber membranes. On testing, this sensor exhibited a wide sensing range (1-50 kPa), certain repeatability (100 cycles), high sensitivity (3 kPa(-1)), reliable breathability, excellent antibacterial properties, and superior biocompatibility. Moreover, this FWS can be used for human health monitoring, including motions of human fingers, elbows, knees, and other parts. Therefore, the sensor is expected to have a wide range of applications in health care detection and intelligent robots used for long-term continuous monitoring of human health."
基金机构:Smart Medicine Project of Chongqing Medical University [YJSZHYX202108]; Student scientific research and innovation experiment project of School of Medical Information [2020C004]
基金资助正文:AcknowledgementsThis research was funded by Smart Medicine Project of Chongqing Medical University (Grant No. YJSZHYX202108) and Student scientific research and innovation experiment project of School of Medical Information (Program No. 2020C004).