journal article·2021-12

Graphene Decorated Fiber for Wearable Strain Sensor with High Sensitivity at Tiny Strain

Ye Chen, Yuanyuan Zhang, Fei Song, Huiying Zhang, Qikang Zhang, Jing Xu, Huaping Wang, Fuyou Ke

Advanced Materials Technologies· Volume 6· Issue 12
Publisher page

Abstract

Abstract It remains a challenge to achieve high sensitivity and a broad linear strain range simultaneously for wearable strain sensors. Specially, graphene‐based strain sensors always exhibit low sensitivity owing to the slippage of graphene flakes. To overcome this problem, Al3+ is used here as “mortars” for graphene flakes instead of polymers usually used in the literature, and thus a very simple and low‐cost strategy is developed to prepare a high‐performance reduced graphene oxide coated fiber strain sensor. The strain sensor shows a low detection limit (0.1% strain), high sensitivity, and a very broad linear sensing range (0–20%, R2 = 0.99, GF = 322), which is attributed to the occurrence of uniform microcracks under stretching induced by Al3+ as well as the large variation of the overlapped area between adjacent graphene flakes at small strain (<1% strain). Moreover, the good cycle stability and durability against water washing of the strain sensor are verified. The excellent properties of the wearable strain sensor ensure it successfully applied in the real‐time monitoring of human activities.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Muscle activation and electromyography studies

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

Affiliations

State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Shanghai 201620 China

Funding

National Natural Science Foundation of China

References (60)

Show source-provided references
1. 10.1002/adma.20150424410.1002/adma.201504244 ↗
2. 10.1016/j.mser.2017.02.00110.1016/j.mser.2017.02.001 ↗
3. 10.1021/nn506341u10.1021/nn506341u ↗
4. 10.1016/j.cej.2019.12277810.1016/j.cej.2019.122778 ↗
5. 10.1039/C7TC01977G10.1039/C7TC01977G ↗
6. 10.1002/admt.20200000810.1002/admt.202000008 ↗
7. 10.1021/acssensors.7b0023010.1021/acssensors.7b00230 ↗
8. 10.1016/j.compscitech.2019.10769710.1016/j.compscitech.2019.107697 ↗
9. 10.1021/acsami.7b1969910.1021/acsami.7b19699 ↗
10. 10.1002/adma.20160157210.1002/adma.201601572 ↗
11. 10.1002/smll.20190084810.1002/smll.201900848 ↗
12. 10.1002/aelm.20190136010.1002/aelm.201901360 ↗
13. 10.1002/admt.20190030910.1002/admt.201900309 ↗
14. 10.1038/nature1400210.1038/nature14002 ↗
15. 10.1002/adma.20160242510.1002/adma.201602425 ↗
16. 10.1016/j.compscitech.2018.05.02910.1016/j.compscitech.2018.05.029 ↗
17. 10.1021/nn103523t10.1021/nn103523t ↗
18. 10.1021/acsami.9b0922910.1021/acsami.9b09229 ↗
19. 10.1002/adma.20150328810.1002/adma.201503288 ↗
20. 10.1021/acsami.7b1797510.1021/acsami.7b17975 ↗
21. 10.1016/j.compscitech.2020.10831910.1016/j.compscitech.2020.108319 ↗
22. 10.1021/acsnano.8b0780510.1021/acsnano.8b07805 ↗
23. 10.1021/acsami.8b1152710.1021/acsami.8b11527 ↗
24. 10.1039/C3NR04521H10.1039/C3NR04521H ↗
25. 10.1002/admt.20190105610.1002/admt.201901056 ↗
26. 10.1016/j.apsusc.2018.04.09910.1016/j.apsusc.2018.04.099 ↗
27. 10.1002/aelm.20200026910.1002/aelm.202000269 ↗
28. 10.1016/j.carbon.2017.10.03410.1016/j.carbon.2017.10.034 ↗
29. 10.1002/adma.20150355810.1002/adma.201503558 ↗
30. 10.1039/C8TC00265G10.1039/C8TC00265G ↗
31. 10.1021/acsami.6b0117410.1021/acsami.6b01174 ↗
32. 10.1016/j.carbon.2017.04.00210.1016/j.carbon.2017.04.002 ↗
33. 10.1039/C7TC01872J10.1039/C7TC01872J ↗
34. 10.1021/acsami.7b1628410.1021/acsami.7b16284 ↗
35. 10.1016/j.compositesb.2019.01.09010.1016/j.compositesb.2019.01.090 ↗
36. 10.1002/smll.20180499110.1002/smll.201804991 ↗
37. 10.1002/aelm.20200086510.1002/aelm.202000865 ↗
38. 10.1016/j.compositesb.2020.10825310.1016/j.compositesb.2020.108253 ↗
39. 10.1021/nl071822y10.1021/nl071822y ↗
40. 10.1016/j.apsusc.2018.05.12710.1016/j.apsusc.2018.05.127 ↗
41. 10.1016/j.carbon.2010.08.00610.1016/j.carbon.2010.08.006 ↗
42. 10.1021/acsnano.9b0684710.1021/acsnano.9b06847 ↗
43. 10.1039/C7TC01962A10.1039/C7TC01962A ↗
44. 10.1002/adfm.20160479510.1002/adfm.201604795 ↗
45. 10.1039/C7NR06219B10.1039/C7NR06219B ↗
46. 10.1016/j.carbon.2017.02.05810.1016/j.carbon.2017.02.058 ↗
47. 10.1016/j.cej.2018.12.02510.1016/j.cej.2018.12.025 ↗
48. 10.1016/j.cej.2017.05.09110.1016/j.cej.2017.05.091 ↗
49. 10.1016/j.cej.2019.01.01410.1016/j.cej.2019.01.014 ↗
50. 10.1021/acsami.9b0861110.1021/acsami.9b08611 ↗
51. 10.1016/j.carbon.2019.03.00110.1016/j.carbon.2019.03.001 ↗
52. 10.1021/acsnano.7b0779510.1021/acsnano.7b07795 ↗
53. 10.1021/acsami.9b1554610.1021/acsami.9b15546 ↗
54. 10.1038/srep4501310.1038/srep45013 ↗
55. 10.1021/acsami.9b1717310.1021/acsami.9b17173 ↗
56. 10.1021/acsami.0c0017610.1021/acsami.0c00176 ↗
57. 10.1038/nchem.214510.1038/nchem.2145 ↗
58. 10.1016/j.apsusc.2019.05.18410.1016/j.apsusc.2019.05.184 ↗
59. 10.1002/adfm.20150475510.1002/adfm.201504755 ↗
60. 10.1021/acsami.8b1176610.1021/acsami.8b11766 ↗