Xiaodong, Yasser, Maggie, and Juan’s Paper in Science Advances. Congrats!!!
Paper title: A Potentiometric Mechanotransduction Mechanism for Novel Electronic Skins
Abstract: Human skin perceives external mechanical stimuli by sensing the variation in the membrane potential of skin sensory cells. Many scientists have attempted to recreate skin functions and develop electronic skins (e-skins) based on active and passive sensing mechanisms. Inspired by the skin sensory behavior, we investigated materials and electronic devices that allow us to encode mechanical stimuli into potential differences measured between two electrodes, resulting in a potentiometric mechanotransduction mechanism. We present here a potentiometric mechanotransducer that is fabricated through an all-solution processing approach. This mechanotransducer shows ultralow-power consumption, highly tunable sensing behavior, and capability to detect both static and low-frequency dynamic mechanical stimuli. Furthermore, we developed two novel classes of sensing devices, including strain-insensitive sensors and single-electrode-mode e-skins, which are challenging to achieve using the existing methods. This mechanotransduction mechanism has broad impact on robotics, prosthetics, and health care by providing a much improved human-machine interface.
Publication:
-
A potentiometric mechanotransduction mechanism for novel electronic skins
Xiaodong Wu,
Maruf Ahmed,
Yasser Khan,
Margaret E. Payne,
Juan Zhu,
Canhui Lu,
James W. Evans,
and
Ana C. Arias
Science Advances,
2020
6,
30.
[Abstract]
[Bibtex]
[PDF]
Human skin perceives external mechanical stimuli by sensing the variation in the membrane potential of skin sensory cells. Many scientists have attempted to recreate skin functions and develop electronic skins (e-skins) based on active and passive sensing mechanisms. Inspired by the skin sensory behavior, we investigated materials and electronic devices that allow us to encode mechanical stimuli into potential differences measured between two electrodes, resulting in a potentiometric mechanotransduction mechanism. We present here a potentiometric mechanotransducer that is fabricated through an all-solution processing approach. This mechanotransducer shows ultralow-power consumption, highly tunable sensing behavior, and capability to detect both static and low-frequency dynamic mechanical stimuli. Furthermore, we developed two novel classes of sensing devices, including strain-insensitive sensors and single-electrode-mode e-skins, which are challenging to achieve using the existing methods. This mechanotransduction mechanism has broad impact on robotics, prosthetics, and health care by providing a much improved human-machine interface.
@article{Xiaodong2020sciadvances,
author = {Wu, Xiaodong and Ahmed, Maruf and Khan, Yasser and Payne, Margaret E. and Zhu, Juan and Lu, Canhui and Evans, James W. and Arias, Ana C.},
title = {A potentiometric mechanotransduction mechanism for novel electronic skins},
year = {2020},
doi = {10.1126/sciadv.aba1062},
publisher = {American Association for the Advancement of Science},
url = {https://advances.sciencemag.org/content/6/30/eaba1062},
journal = {Science Advances},
volume = {6},
number = {30},
thumbnail = {Xiaodong2020sciadvances.png},
pdf = {Xiaodong2020sciadvances.pdf}
}
