Extraordinarily Stretchable All-Carbon Collaborative Nanoarchitectures for Epidermal Sensors

Yichen Cai, Jie Shen, Ziyang Dai, Xiaoxian Zang, Qiuchun Dong, Guofeng Guan, Lain-Jong Li, Wei Huang, Xiaochen Dong

Research output: Contribution to journalArticlepeer-review

202 Scopus citations

Abstract

Multifunctional microelectronic components featuring large stretchability, high sensitivity, high signal-to-noise ratio (SNR), and broad sensing range have attracted a huge surge of interest with the fast developing epidermal electronic systems. Here, the epidermal sensors based on all-carbon collaborative percolation network are demonstrated, which consist 3D graphene foam and carbon nanotubes (CNTs) obtained by two-step chemical vapor deposition processes. The nanoscaled CNT networks largely enhance the stretchability and SNR of the 3D microarchitectural graphene foams, endowing the strain sensor with a gauge factor as high as 35, a wide reliable sensing range up to 85%, and excellent cyclic stability (>5000 cycles). The flexible and reversible strain sensor can be easily mounted on human skin as a wearable electronic device for real-time and high accuracy detecting of electrophysiological stimuli and even for acoustic vibration recognition. The rationally designed all-carbon nanoarchitectures are scalable, low cost, and promising in practical applications requiring extraordinary stretchability and ultrahigh SNRs.
Original languageEnglish (US)
Pages (from-to)1606411
JournalAdvanced Materials
Volume29
Issue number31
DOIs
StatePublished - Jun 16 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The work was supported by the NNSF of China (61525402 and 21275076), the Key University Science Research Project of Jiangsu Province (15KJA430006), the Program for New Century Excellent Talents in University (NCET-13-0853), and the QingLan Project. L.-J.L acknowledges support from the KAUST.

Fingerprint

Dive into the research topics of 'Extraordinarily Stretchable All-Carbon Collaborative Nanoarchitectures for Epidermal Sensors'. Together they form a unique fingerprint.

Cite this