journal article·2021

A highly conductive self-assembled multilayer graphene nanosheet film for electronic tattoos in the applications of human electrophysiology and strain sensing

Quan-Liang Zhao, Zhen-Ming Wang, Jing-Hao Chen, Shi-Qi Liu, Yi-Kai Wang, Meng-Ying Zhang, Jie-Jian Di, Guang-Ping He, Lei Zhao, Ting-Ting Su, Jie Zhang, Xu Liang, Wei-Li Song, Zhi-Ling Hou

Nanoscale· Volume 13· Issue 24
Publisher page

Abstract

Highly conductive, conformable and gel-free electrodes are desirable in human electrophysiology. Besides, intimately coupling with human skin, wearable strain sensors can detect numerous physiological signals, such as wrist pulse and breath. In this study, a multilayer graphene nanosheet film (MGNF) with high conductivity was prepared by the Marangoni self-assembly for using in tattoo dry electrodes (TDEs) and in a graphene tattoo strain sensor (GTSS). Compared to commercial Ag/AgCl gel electrodes, TDEs have lower skin-electrode contact impedance and could detect human electrocardiogram for 24-hour wearing more accurately as well as electromyogram. Through designing a slim serpentine ribbon structure, a resistance-type GTSS, without deterioration even after 2000 cycles, is well demonstrated for human wrist pulse and breath sensing. With the advantages of high conductivity and conformability, MGNF provides support to fabricate low-cost, customizable, and high-performance electronic tattoos for human electrophysiology and strain sensing.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical and Materials Engineering

North China University of Technology

Beijing 100144

China

Institute of Advanced Structure Technology

Beijing Institute of Technology

Beijing 100081

P. R. China

School of Science

Beijing University of Chemical Technology

Beijing 100029

Funding

National Key Research and Development Program of China · Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China

References (52)

Show source-provided references
1. Li · InfoMat · 2019 · 2 · 1
2. He · Carbon · 2020 · 168 · 30810.1016/j.carbon.2020.06.084 ↗
3. Ameri · ACS Nano · 2017 · 11 · 763410.1021/acsnano.7b02182 ↗
4. Wang · Adv. Funct. Mater. · 2019 · 29 · 180869510.1002/adfm.201808695 ↗
5. Wang · Adv. Mater. · 2019 · 31 · 180107210.1002/adma.201801072 ↗
6. Tiefenauer · Small · 2018 · 14 · 180118710.1002/smll.201801187 ↗
7. Huang · Eng. Sci. · 2020 · 9 · 60
8. Su · Eng. Sci. · 2020 · 11 · 66
9. Liu · Microsyst. Nanoeng. · 2020 · 6 · 1610.1038/s41378-019-0127-5 ↗
10. Jeong · Adv. Mater. Technol. · 2019 · 4 · 190011710.1002/admt.201900117 ↗
11. Lopes · ACS Appl. Mater. Interfaces · 2018 · 10 · 3876010.1021/acsami.8b13257 ↗
12. Williams · Nanoscale · 2019 · 111 · 1429410.1039/C9NR03378E ↗
13. Wang · Carbon · 2019 · 152 · 87310.1016/j.carbon.2019.06.075 ↗
14. Chen · Carbon · 2020 · 164 · 11110.1016/j.carbon.2020.03.042 ↗
15. Xu · Carbon · 2020 · 166 · 31610.1016/j.carbon.2020.05.042 ↗
16. Mei · Adv. Compos. Hybrid Mater. · 2019 · 2 · 31210.1007/s42114-019-00087-7 ↗
17. Yamada · Nat. Nanotechnol. · 2011 · 6 · 29610.1038/nnano.2011.36 ↗
18. Steven · Nat. Commun. · 2013 · 4 · 243510.1038/ncomms3435 ↗
19. Khatib · Small · 2019 · 15 · 180393910.1002/smll.201803939 ↗
20. Chen · Eng. Sci. · 2020 · 12 · 13
21. Gong · Adv. Electron. Mater. · 2017 · 3 · 160031410.1002/aelm.201600314 ↗
22. Yao · Adv. Healthcare Mater. · 2018 · 7 · 170088910.1002/adhm.201700889 ↗
23. Wang · Sci. Adv. · 2020 · 6 · eabb704310.1126/sciadv.abb7043 ↗
24. Park · ACS Appl. Mater. Interfaces · 2018 · 10 · 1693210.1021/acsami.8b03057 ↗
25. Mishra · Sens. Actuators, B · 2018 · 273 · 96610.1016/j.snb.2018.07.001 ↗
26. Ferrari · Adv. Sci. · 2018 · 5 · 170077110.1002/advs.201700771 ↗
27. Ameri · npj 2D Mater. Appl. · 2018 · 2 · 1910.1038/s41699-018-0064-4 ↗
28. Zhao · Eng. Sci. · 2019 · 8 · 33
29. Nidamanuri · Eng. Sci. · 2020 · 9 · 3
30. Fu · ES Energy Environ. · 2019 · 4 · 66
31. Wang · Adv. Compos. Hybrid Mater. · 2019 · 2 · 110.1007/s42114-018-0067-9 ↗
32. Qiao · ACS Nano · 2018 · 12 · 883910.1021/acsnano.8b02162 ↗
33. Li · Adv. Funct. Mater. · 2016 · 26 · 132210.1002/adfm.201504717 ↗
34. Wei · Eng. Sci. · 2018 · 3 · 62
35. Hu · ES Energy Environ. · 2019 · 3 · 45
36. Yapici · Sens. Actuators, B · 2015 · 221 · 146910.1016/j.snb.2015.07.111 ↗
37. Kim · ACS Nano · 2016 · 10 · 477010.1021/acsnano.6b01355 ↗
38. Lee · Sci. Rep. · 2014 · 4 · 607410.1038/srep06074 ↗
39. Yapici · Sens. Actuators, B · 2015 · 221 · 146910.1016/j.snb.2015.07.111 ↗
40. Yun · Adv. Funct. Mater. · 2017 · 27 · 170151310.1002/adfm.201701513 ↗
41. Zang · Small · 2014 · 10 · 258310.1002/smll.201303738 ↗
42. Lee · Science · 2008 · 321 · 38510.1126/science.1157996 ↗
43. Liu · Nano Energy · 2019 · 66 · 10414310.1016/j.nanoen.2019.104143 ↗
44. Zheng · Compos. Sci. Technol. · 2018 · 156 · 27610.1016/j.compscitech.2018.01.019 ↗
45. Ryu · ACS Nano · 2015 · 9 · 592910.1021/acsnano.5b00599 ↗
46. Zhang · Small · 2019 · 15 · 180549310.1002/smll.201805493 ↗
47. Amjadi · Nanotechnology · 2015 · 26 · 37550110.1088/0957-4484/26/37/375501 ↗
48. Samad · Small · 2015 · 11 · 238010.1002/smll.201403532 ↗
49. Boland · Science · 2016 · 354 · 125710.1126/science.aag2879 ↗
50. Chen · Adv. Funct. Mater. · 2019 · 29 · 190470610.1002/adfm.201904706 ↗
51. Hou · ACS Appl. Mater. Interfaces · 2014 · 6 · 1502610.1021/am502986j ↗
52. Song · Mater. Res. Bull. · 2015 · 72 · 31610.1016/j.materresbull.2015.07.028 ↗