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