Biofuel-powered soft electronic skin with multiplexed and wireless sensing for human-machine interfaces

被引:499
|
作者
Yu, You [1 ]
Nassar, Joanna [1 ]
Xu, Changhao [1 ]
Min, Jihong [1 ]
Yang, Yiran [1 ]
Dai, Adam [2 ]
Doshi, Rohan [2 ]
Huang, Adrian [3 ]
Song, Yu [1 ]
Gehlhar, Rachel [4 ]
Ames, Aaron D. [4 ]
Gao, Wei [1 ]
机构
[1] CALTECH, Andrew & Peggy Cherng Dept Med Engn, Pasadena, CA 91125 USA
[2] CALTECH, Dept Elect Engn, Pasadena, CA 91125 USA
[3] CALTECH, Div Chem & Chem Engn, Pasadena, CA 91125 USA
[4] CALTECH, Dept Mech & Civil Engn, Pasadena, CA 91125 USA
关键词
OXYGEN REDUCTION; FLEXIBLE ELECTRONICS; FUEL-CELL; ENERGY; ELECTROCATALYSIS; PLATINUM; LACTATE; DEVICES; GLUCOSE; SENSOR;
D O I
10.1126/scirobotics.aaz7946
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Existing electronic skin (e-skin) sensing platforms are equipped to monitor physical parameters using power from batteries or near-field communication. For e-skins to be applied in the next generation of robotics and medical devices, they must operate wirelessly and be self-powered. However, despite recent efforts to harvest energy from the human body, self-powered e-skin with the ability to perform biosensing with Bluetooth communication are limited because of lack of a continuous energy source and limited power efficiency. Here, we report a flexible and fully perspiration-powered integrated electronic skin (PPES) for multiplexed metabolic sensing in situ. The battery-free e-skin contains multimodal sensors and highly efficient lactate biofuel cells that use a unique integration of zero-to three-dimensional nanomaterials to achieve high power intensity and long-term stability. The PPES delivered a record-breaking power density of 3.5 milliwatt.centimeter(-2) for biofuel cells in untreated human body fluids (human sweat) and displayed a very stable performance during a 60-hour continuous operation. It selectively monitored key metabolic analytes (e.g., urea, NH4+, glucose, and pH) and the skin temperature during prolonged physical activities and wirelessly transmitted the data to the user interface using Bluetooth. The PPES was also able to monitor muscle contraction and work as a human-machine interface for human-prosthesis walking.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Optical Microfibers for Sensing Proximity and Contact in Human-Machine Interfaces
    Liu, Haitao
    Song, Xingda
    Wang, Xiaoyu
    Wang, Shuhao
    Yao, Ni
    Li, Xiong
    Fang, Wei
    Tong, Limin
    Zhang, Lei
    ACS Applied Materials and Interfaces, 2022, 14 (12): : 14447 - 14454
  • [22] Optical Microfibers for Sensing Proximity and Contact in Human-Machine Interfaces
    Liu, Haitao
    Song, Xingda
    Wang, Xiaoyu
    Wang, Shuhao
    Yao, Ni
    Li, Xiong
    Fang, Wei
    Tong, Limin
    Zhang, Lei
    ACS APPLIED MATERIALS & INTERFACES, 2022, 14 (12) : 14447 - 14454
  • [23] Brush drawing multifunctional electronic textiles for human-machine interfaces
    Gogurla, Narendar
    Pratap, Ajay
    Um, In Chul
    Kim, Sunghwan
    CURRENT APPLIED PHYSICS, 2022, 41 : 131 - 138
  • [24] Soft human–machine interfaces: design, sensing and stimulation
    Dong W.
    Wang Y.
    Zhou Y.
    Bai Y.
    Ju Z.
    Guo J.
    Gu G.
    Bai K.
    Ouyang G.
    Chen S.
    Zhang Q.
    Huang Y.A.
    International Journal of Intelligent Robotics and Applications, 2018, 2 (3) : 313 - 338
  • [25] Soft Human-Machine Interface Sensing Displays: Materials and Devices
    Yu, Seunggun
    Park, Tae Hyun
    Jiang, Wei
    Lee, Seung Won
    Kim, Eui Hyuk
    Lee, Seokyeong
    Park, Jung-Eun
    Park, Cheolmin
    ADVANCED MATERIALS, 2023, 35 (43)
  • [26] Low-Voltage Soft Actuators for Interactive Human-Machine Interfaces
    Chen, Shaohua
    Tan, Matthew Wei Ming
    Gong, Xuefei
    Lee, Pooi See
    ADVANCED INTELLIGENT SYSTEMS, 2022, 4 (02)
  • [27] Piezoelectric Micromachined Ultrasonic Transducers for Human-Machine Interfaces and Biometric Sensing
    Horsley, David A.
    Rozen, Ofer
    Lu, Yipeng
    Shelton, Stefon
    Guedes, Andre
    Przybyla, Richard
    Tang, Hao-Yen
    Boser, Bernhard E.
    2015 IEEE SENSORS, 2015, : 1507 - 1510
  • [28] On-Skin Stimulation Devices for Haptic Feedback and Human-Machine Interfaces
    Guo, Wei
    Hu, Yijia
    Yin, Zhouping
    Wu, Hao
    ADVANCED MATERIALS TECHNOLOGIES, 2022, 7 (02)
  • [29] Self-Powered and Imperceptible Electronic Tattoos Based on Silk Protein Nanofiber and Carbon Nanotubes for Human-Machine Interfaces
    Gogurla, Narendar
    Kim, Sunghwan
    ADVANCED ENERGY MATERIALS, 2021, 11 (29)
  • [30] Soft Magnetoelastic Tactile Multi-Sensors with Energy-Absorbing Properties for Self-Powered Human-Machine Interfaces
    Lin, Liqiong
    Zhou, Jianyou
    Zhong, Zheng
    ACS APPLIED MATERIALS & INTERFACES, 2024, 16 (38) : 51521 - 51531