journal article·2021Open access

An ultrahigh sensitivity micro-cliff graphene wearable pressure sensor made by instant flash light exposure

Yachu Zhang, Han Lin, Fei Meng, Huai Liu, David Mesa, Huihui Zhang, Xiaodong Huang, Alan Kin Tak Lau, Yuejin Zhao, Tianyi Ma, Baohua Jia

Nanoscale· Volume 13· Issue 36

Abstract

Wearable and highly sensitive pressure sensors are of great importance for robotics, health monitoring and biomedical applications. For simultaneously achieving high sensitivity within a broad working range, fast response time (within a few milliseconds), minimal hysteresis and excellent cycling stability are critical for high performance pressure sensors. However, it remains a major challenge. Herein, we report a conceptual micro-cliff design of a graphene sensor with a record high sensitivity of up to 72 568 kPa-1 in a broad working range of 0-255 kPa, which is one order of magnitude higher than the state-of-the-art reported sensitivity. In addition, the detection limit can be as low as 0.35 Pa and the fast response time is less than 5 ms. The sensor also has a minimal hysteresis and an outstanding cycling stability of 5000 cycles, all of which meet the requirements of an ideal pressure sensor. More interestingly, the micro-cliff graphene sensor is made by the fast and scalable flash reduction of graphene oxide using a single flashlight pulse within 150 ms and has been integrated into a wearable smart insole and an E-glove prototype for demonstration of health monitoring applications. This micro-cliff graphene pressure sensor achieves record-high sensitivity, which brings new possibilities in sensor research and promises broad applications.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Gas Sensing Nanomaterials and Sensors · Conducting polymers and applications

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

Affiliations

School of Electronic Engineering and Intelligentization, Dongguan University of Technology, Dongguan, 523808, Guangdong, China

Centre for Translational Atomaterials, Faculty of Science, Engineering and Technology, Swinburne University of Technology, P. O. Box 218, Hawthorn, VIC 3122, Australia

Department of Computer Science and Software Engineering, Swinburne University of Technology, P. O. Box 218, Hawthorn, VIC 3122, Australia

Faculty of Health Arts and Design, Swinburne University of Technology, P. O. Box 218, Hawthorn, VIC 3122, Australia

Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

Funding

Australian Research Council · Higher Education Discipline Innovation Project

References (65)

Show source-provided references
1. Yao · Adv. Healthcare Mater. · 2018 · 7 · 170088910.1002/adhm.201700889 ↗
2. Amjadi · Adv. Funct. Mater. · 2016 · 26 · 167810.1002/adfm.201504755 ↗
3. Lou · Small Struct. · 2021 · 200015210.1002/sstr.202000152 ↗
4. Nishinaka · Small Struct. · 2021 · 2 · 200008810.1002/sstr.202000088 ↗
5. Zhu · Sens. Actuators, A · 2017 · 267 · 24210.1016/j.sna.2017.10.021 ↗
6. Nag · Sens. Actuators, A · 2018 · 270 · 17710.1016/j.sna.2017.12.028 ↗
7. Wang · Small · 2017 · 13 · 160279010.1002/smll.201602790 ↗
8. Senesky · IEEE Sens. J. · 2009 · 9 · 147210.1109/JSEN.2009.2026996 ↗
9. Prosser · Sens. Rev. · 1997 · 17 · 21710.1108/02602289710172337 ↗
10. Poeggel · Sensors · 2015 · 15 · 1711510.3390/s150717115 ↗
11. Yang · Mater. Sci. Eng., R · 2017 · 115 · 110.1016/j.mser.2017.02.001 ↗
12. Lv · ACS Appl. Mater. Interfaces · 2017 · 9 · 2288510.1021/acsami.7b07153 ↗
13. Pan · Nat. Commun. · 2014 · 5 · 300210.1038/ncomms4002 ↗
14. Christian · 2D Mater. · 2018 · 5 · 015025
15. Wan · Carbon · 2017 · 114 · 20910.1016/j.carbon.2016.12.023 ↗
16. Ruth · Small Struct. · 2021 · 2 · 200007910.1002/sstr.202000079 ↗
17. Yoon · Sci. Rep. · 2016 · 6 · 2346810.1038/srep23468 ↗
18. Liu · ACS Appl. Mater. Interfaces · 2017 · 9 · 2414810.1021/acsami.7b07311 ↗
19. Liu · ACS Nano · 2016 · 10 · 790110.1021/acsnano.6b03813 ↗
20. Kappassov · Robotics and Autonomous Systems · 2015 · 74 · 19510.1016/j.robot.2015.07.015 ↗
21. Pang · ACS Nano · 2018 · 12 · 234610.1021/acsnano.7b07613 ↗
22. Shuai · Adv. Mater. Technol. · 2018 · 3 · 170024810.1002/admt.201700248 ↗
23. Lou · Nano Energy · 2016 · 23 · 710.1016/j.nanoen.2016.02.053 ↗
24. Zhu · Sens. Actuators, B · 2018 · 255 · 126210.1016/j.snb.2017.08.116 ↗
25. Zheng · Nat. Commun. · 2015 · 6 · 843310.1038/ncomms9433 ↗
26. Lin · Nat. Photonics · 2019 · 13 · 27010.1038/s41566-019-0389-3 ↗
27. Tian · Sci. Rep. · 2015 · 5 · 860310.1038/srep08603 ↗
28. Yang · ACS Photonics · 2019 · 6 · 103310.1021/acsphotonics.9b00060 ↗
29. Lin · Nat. Commun. · 2020 · 11 · 138910.1038/s41467-020-15116-z ↗
30. Sinha · Small Struct. · 2021 · 2 · 200004910.1002/sstr.202000049 ↗
31. Zheng · Mater. Today · 2020 · 36 · 15810.1016/j.mattod.2019.12.004 ↗
32. Li · ACS Appl. Mater. Interfaces · 2018 · 10 · 2082610.1021/acsami.8b03639 ↗
33. Lee · ACS Nano · 2018 · 12 · 404510.1021/acsnano.8b01805 ↗
34. Chun · Nanotechnology · 2019 · 30 · 33550110.1088/1361-6528/ab1d99 ↗
35. Hong-Bin · Adv. Mater. · 2013 · 25 · 669210.1002/adma.201303041 ↗
36. Tao · ACS Nano · 2017 · 11 · 879010.1021/acsnano.7b02826 ↗
37. Yang · Compos. Sci. Technol. · 2018 · 164 · 18710.1016/j.compscitech.2018.05.044 ↗
38. Qin · ACS Nano · 2015 · 9 · 893310.1021/acsnano.5b02781 ↗
39. Zhang · Carbon · 2017 · 125 · 19910.1016/j.carbon.2017.09.055 ↗
40. Zhuo · Adv. Funct. Mater. · 2016 · 26 · 506110.1002/adfm.201503674 ↗
41. Tian · ACS Appl. Mater. Interfaces · 2020 · 12 · 971010.1021/acsami.9b18873 ↗
42. Wang · Small · 2016 · 12 · 382710.1002/smll.201601419 ↗
43. Jia · Nanoscale · 2019 · 11 · 425810.1039/C8NR08503J ↗
44. Wang · Adv. Mater. · 2019 · 31 · 180563010.1002/adma.201804204 ↗
45. Zhu · Adv. Electron. Mater. · 2020 · 6 · 190106410.1002/aelm.201901064 ↗
46. Yue · Nano Energy · 2018 · 50 · 7910.1016/j.nanoen.2018.05.020 ↗
47. Li · ACS Appl. Energy Mater. · 2019 · 2 · 280310.1021/acsaem.9b00147 ↗
48. He · Nano Energy · 2019 · 59 · 42210.1016/j.nanoen.2019.02.036 ↗
49. Kang · Nature · 2014 · 516 · 22210.1038/nature14002 ↗
50. Mukherjee · ACS Nano · 2012 · 6 · 786710.1021/nn303145j ↗
51. Wang · Adv. Energy Mater. · 2015 · 5 · 150078610.1002/aenm.201500786 ↗
52. Zhang · J. Power Sources · 2019 · 442 · 22722410.1016/j.jpowsour.2019.227224 ↗
53. Wong · J. Power Sources · 2020 · 478 · 22873210.1016/j.jpowsour.2020.228732 ↗
54. Pang · ACS Appl. Mater. Interfaces · 2016 · 8 · 2645810.1021/acsami.6b08172 ↗
55. Kim · Carbon · 2017 · 120 · 24410.1016/j.carbon.2017.05.041 ↗
56. Chun · Carbon · 2017 · 116 · 75310.1016/j.carbon.2017.02.058 ↗
57. Chen · ACS Appl. Mater. Interfaces · 2017 · 9 · 2411110.1021/acsami.7b05515 ↗
58. Wang · Small · 2016 · 12 · 382710.1002/smll.201601419 ↗
59. Smith · ACS Nano · 2016 · 10 · 987910.1021/acsnano.6b02533 ↗
60. McDonald · Foot · 1999 · 9 · 610.1054/foot.1999.0502 ↗
61. Liu · Small · 2017 · 13 · 170075810.1002/smll.201700758 ↗
62. Tamirat · Small Struct. · 2021 · 2 · 200012610.1002/sstr.202000126 ↗
63. Hun · ETRI J. · 2018 · 40 · 27510.4218/etrij.2017-0242 ↗
64. Saswata · Nanotechnology · 2014 · 25 · 07570210.1088/0957-4484/25/7/075702 ↗
65. Zaaba · Procedia Eng. · 2017 · 184 · 46910.1016/j.proeng.2017.04.118 ↗