摘要
The prosperous evolution of conductive hydrogel-based skin sensors is attract-ing tremendous attention nowadays.Nevertheless,it remains a great challenge to simultaneously integrate excellent mechanical strength,desirable electrical conduc-tivity,admirable sensing performance,and brilliant healability in hydrogel-based skin sensors for high-performance diagnostic healthcare sensing and wearable human-machine interface,as well as robust photothermal performance for promptly intelligent photothermal therapy followed by the medical diagnosis and superior electromagnetic interference(EMI)shielding performance for personal protec-tion.Herein,aflexible healable MXene hydrogel-based skin sensor is prepared through a delicate combination of MXene(Ti_(3)C_(2)T_(x))nanosheets network with the polymeric network.The as-prepared skin sensor is featured with significantly enhanced mechanical,conducting,and sensing performances,along with robust self-healability,good biocompatibility,and reliable injectability,enabling ultrasensitive human motion monitoring and teeny electrophysiological signals sensing.As a fron-tier technology in artificial intelligence,machine learning can facilitate to efficiently and precisely identify the electromyography signals produced by various human motions(such as variablefinger gestures)with up to 99.5%accuracy,affirming the reliability of the machine learning-assisted gesture identification with great poten-tial in smart personalized healthcare and human-machine interaction.Moreover,the MXene hydrogel-based skin sensor displays prominent EMI shielding performance,demonstrating the great promise of effective personal protection.
基金
National Natural Science Foundation of China,Grant/Award Number:52222303
Biomedical Translational Engineering Research Center of BUCT-CJFH,Grant/Award Number:XK2022-03。