Skin-inspired flexible and high-sensitivity pressure sensors based on rGO films with continuous-gradient wrinkles

Flexible electronic devices have received more and more attention. In particular, for pressure sensors, traditional methods for improving sensing performances are mostly based on the construction of microstructured templates. However, it still remains significantly challenging to conveniently fabric...

Full description

Saved in:
Bibliographic Details
Published in:Nanoscale 2019-03, Vol.11 (1), p.4258-4266
Main Authors: Jia, Jin, Huang, Guotao, Deng, Jianping, Pan, Kai
Format: Article
Language:English
Subjects:
Construction
Electronic devices
Graphene
Human motion
Motion perception
Performance enhancement
Pressure sensors
Sensitivity
Sensors
Skin
Structural hierarchy
Thin films
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Flexible electronic devices have received more and more attention. In particular, for pressure sensors, traditional methods for improving sensing performances are mostly based on the construction of microstructured templates. However, it still remains significantly challenging to conveniently fabricate thin-film sensors which possess flexibility, high sensitivity and location detection ability. Inspired by the microstructure of the human skin surface, herein, a new pressure sensor with a hierarchical structure and gradient reduced graphene oxide (rGO) wrinkles is reported. Benefiting from the skin-like structure, the pressure sensor demonstrates outstanding sensitivity, reaching 178 kPa −1 ; it can also detect pressure as small as 42 Pa. Furthermore, the concept of designing and constructing a gradient structure has been applied to achieve position detection, which is expected to find practical applications in human motion detection. A skin-like gradient-wrinkle rGO film with a hierarchical structure that showed ultrahigh sensitivity and a special motion-direction detection of moving objects.
ISSN:2040-3364
2040-3372
DOI:10.1039/c8nr08503j