Metal-Free Perovskite Piezoelectric Nanogenerators for Human-Machine Interfaces and Self-Powered Electrical Stimulation Applications

被引:47
|
作者
Wu, Han-Song [1 ,2 ]
Wei, Shih-Min [2 ]
Chen, Shuo-Wen [2 ]
Pan, Han-Chi [3 ]
Pan, Wei-Pang [2 ]
Huang, Shih-Min [2 ]
Tsai, Meng-Lin [1 ]
Yang, Po-Kang [2 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Mat Sci & Engn, Taipei 10607, Taiwan
[2] Natl Cent Univ, Dept Biomed Sci & Engn, Taoyuan 32001, Taiwan
[3] Natl Appl Res Labs, Natl Lab Anim Ctr, Taipei 11571, Taiwan
关键词
metal-free perovskites; piezoelectric nanogenerators; human-machine interfaces; cytotoxicity; electrical stimulation; THIN-FILMS; OUTPUT PERFORMANCE; PROLIFERATION; VISCOSITY; ORIGIN; GROWTH;
D O I
10.1002/advs.202105974
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Single crystal metal-free halide perovskites have received great attention in recent years owing to their excellent piezoelectric and ferroelectric properties. However, the nanotoxicity and piezoelectricity within the nanoscale of such materials have yet been reported for the demonstration of practical applications. In this work, the observation of intrinsic piezoelectricity in metal-free perovskite (MDABCO-NH4I3) films using piezoresponse force microscopy (PFM) is reported. A cytotoxicity test is also performed on MDABCO-NH4I3 to evaluate its low-toxic nature. The as-synthesized MDABCO-NH4I3 is further integrated into a piezoelectric nanogenerator (PENG). The MDABCO-NH4I3-based PENG (MN-PENG) exhibits optimal output voltage and current of 15.9 V and 54.5 nA, respectively. In addition, the MN-PENG can serve as a self-powered strain sensor for human-machine interface applications or be adopted in in vitro electrical stimulation devices. This work demonstrates a path of perovskite-based PENG with high performance, low toxicity, and multifunctionality for future advanced wearable sensors and portable therapeutic systems.
引用
收藏
页数:11
相关论文
共 50 条
  • [11] Recent Advances in Hydrogel-Based Self-Powered Artificial Skins for Human-Machine Interfaces
    Wang, Yaling
    Zhu, Pengcheng
    Tan, Ming
    Niu, Mengjuan
    Liang, Siyang
    Mao, Yanchao
    ADVANCED INTELLIGENT SYSTEMS, 2023, 5 (09)
  • [12] NANOGENERATORS AND SELF-POWERED MICRODEVICES APPLIED TO WIRELESS ELECTRICAL STIMULATION AT CELL LEVEL
    Murillo, Gonzalo
    2021 21ST INTERNATIONAL CONFERENCE ON SOLID-STATE SENSORS, ACTUATORS AND MICROSYSTEMS (TRANSDUCERS), 2021, : 97 - 100
  • [13] Self-Powered Intelligent Human-Machine Interaction for Handwriting Recognition
    Guo, Hang
    Wan, Ji
    Wang, Haobin
    Wu, Hanxiang
    Xu, Chen
    Miao, Liming
    Han, Mengdi
    Zhang, Haixia
    RESEARCH, 2021, 2021
  • [14] A Self-Powered Triboelectric Hybrid Coder for Human-Machine Interaction
    Cao, Yu
    Yang, Yuan
    Qu, Xuecheng
    Shi, Bojing
    Xu, Lingling
    Xue, Jiangtao
    Wang, Chan
    Bai, Yuan
    Gai, Yansong
    Luo, Dan
    Li, Zhou
    SMALL METHODS, 2022, 6 (03)
  • [15] Personalized Keystroke Dynamics for Self-Powered Human-Machine Interfacing
    Chen, Jun
    Zhu, Guang
    Yang, Jin
    Jing, Qingshen
    Bai, Peng
    Yang, Weiqing
    Qi, Xuewei
    Su, Yuanjie
    Wang, Zhong Lin
    ACS NANO, 2015, 9 (01) : 105 - 116
  • [16] Self-Powered Electronic Skin for Remote Human-Machine Synchronization
    Zhang, Ming
    Wang, Wanli
    Xia, Guoting
    Wang, Licheng
    Wang, Kai
    ACS APPLIED ELECTRONIC MATERIALS, 2023, 5 (01) : 498 - 508
  • [17] Flexible Magnetoelectric Fiber for Self-Powered Human-Machine Interactive
    Wang, Xinyu
    Qin, Jieyao
    Gong, Junyao
    Wei, Xinjie
    Guo, Jianhong
    Hu, Wanjin
    Wang, Xiaofeng
    Fu, Zhuan
    Xia, Liangjun
    Xu, Weilin
    ACS SENSORS, 2024, 9 (11): : 6113 - 6121
  • [18] Surface Control and Electrical Tuning of MXene Electrode for Flexible Self-Powered Human-Machine Interaction
    Cai, Xu
    Xiao, Yu
    Zhang, Bingwen
    Yang, Yanhui
    Wang, Jun
    Chen, Huamin
    Shen, Guozhen
    ADVANCED FUNCTIONAL MATERIALS, 2023, 33 (43)
  • [19] Self-powered pressure sensor based on microfluidic triboelectric principle for human-machine interface applications
    Goh, Qi Lun
    Chee, PeiSong
    Lim, Eng Hock
    Liew, Guo Guang
    SMART MATERIALS AND STRUCTURES, 2021, 30 (07)
  • [20] A programmable magnetoelastic sensor array for self-powered human-machine interface
    Xu, Jing
    Tat, Trinny
    Zhao, Xun
    Zhou, Yihao
    Ngo, Diantha
    Xiao, Xiao
    Chen, Jun
    APPLIED PHYSICS REVIEWS, 2022, 9 (03)