journal article·2023-01-11

Piezoresistive Fibers with Large Working Factors for Strain Sensing Applications

Mugaanire Tendo Innocent, Ziling Zhang, Ran Cao, Hongmei Dai, Yuxuan Zhang, Yaqi Geng, Zhihao Zhang, Guosheng Jia, Mian Zhai, Zexu Hu, Conor S. Boland, Hengxue Xiang, Meifang Zhu

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Abstract

Piezoresistive fibers with large working factors remain of great interest for strain sensing applications involving large strains, yet difficult to achieve. Here, we produced strain-sensitive fibers with large working factors by dip-coating nanocomposite piezoresistive inks on surface-modified polyether block amide (PEBA) fibers. Surface modification of neat PEBA fibers was carried out with polydopamine (PDA) while nanocomposite conductive inks consisted of styrene–ethylene–butylene–styrene (SEBS) elastomer and carbon black (CB). As such, the deposition of piezoresistive coatings was enabled through nonconventional hydrogen-bonding interactions. The resultant fibers demonstrated well-defined piezoresistive linear relationships, which increased with CB filler loading in SEBS. In addition, gauge factors decreased with increasing CB mass fractions from ∼15 to ∼7. Furthermore, we used the fatigue theory to predict the endurance limit (Ce) of our fibers toward resistance signal stability. Such a piezoresistive performance allowed us to explore the application of our fibers as strain sensors for monitoring the movement of finger joints.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Polydiacetylene-based materials and applications

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, Shanghai201620, China

School of Mathematical and Physical Sciences, University of Sussex, BrightonBN19QH, U.K.

Funding

Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China · Program of Shanghai Technology Research Leader

References (66)

Show source-provided references
1. 10.1038/s41928-022-00723-z10.1038/s41928-022-00723-z ↗
2. 10.1039/c9sm01046g10.1039/c9sm01046g ↗
3. 10.1021/acsami.1c2162310.1021/acsami.1c21623 ↗
4. 10.1002/adfm.20200243310.1002/adfm.202002433 ↗
5. 10.1021/acsanm.0c0236210.1021/acsanm.0c02362 ↗
6. 10.1021/acsnano.9b0684710.1021/acsnano.9b06847 ↗
7. 10.1016/j.carbon.2020.06.07810.1016/j.carbon.2020.06.078 ↗
8. 10.1021/acsami.1c1995010.1021/acsami.1c19950 ↗
9. 10.1038/s41586-020-2892-610.1038/s41586-020-2892-6 ↗
10. Vanlanduit, S.; Sorgente, M.; Zadeh, A. R.; Güemes, A.; Faisal, N. Strain Monitoring BT─Structural Health Monitoring Damage Detection Systems for Aerospace, Sause, M. G. R.; Jasiu̅nienė, E., Eds. Springer International Publishing: Cham, 2021; pp 219–241.10.1007/978-3-030-72192-3_8 ↗
11. 10.1007/s40430-013-0082-210.1007/s40430-013-0082-2 ↗
12. 10.1007/s00339-008-4623-y10.1007/s00339-008-4623-y ↗
13. O’Driscoll D. P. · 2021
14. 10.1021/acsnano.9b0161310.1021/acsnano.9b01613 ↗
15. 10.1126/science.aag287910.1126/science.aag2879 ↗
16. 10.1002/smll.20200654210.1002/smll.202006542 ↗
17. 10.1021/acsanm.1c0004010.1021/acsanm.1c00040 ↗
18. 10.1016/j.compscitech.2021.10915310.1016/j.compscitech.2021.109153 ↗
19. 10.1021/acssensors.0c0087010.1021/acssensors.0c00870 ↗
20. 10.1002/smll.20200215810.1002/smll.202002158 ↗
21. 10.1002/adfm.20191050410.1002/adfm.201910504 ↗
22. 10.1039/c8mh01062e10.1039/c8mh01062e ↗
23. 10.1021/acsami.5b0489210.1021/acsami.5b04892 ↗
24. 10.1021/acsami.9b1554610.1021/acsami.9b15546 ↗
25. 10.1016/j.cej.2022.13500310.1016/j.cej.2022.135003 ↗
26. 10.1063/1.482649610.1063/1.4826496 ↗
27. 10.1021/acsami.2c0477310.1021/acsami.2c04773 ↗
28. 10.1021/acsapm.2c0129210.1021/acsapm.2c01292 ↗
29. 10.1016/j.matdes.2021.10971510.1016/j.matdes.2021.109715 ↗
30. 10.1021/acsami.1c0086410.1021/acsami.1c00864 ↗
31. 10.1016/S0927-796X(02)00004-910.1016/S0927-796X(02)00004-9 ↗
32. 10.1021/acsami.7b1986510.1021/acsami.7b19865 ↗
33. 10.1002/smll.20210290310.1002/smll.202102903 ↗
34. 10.1126/science.114724110.1126/science.1147241 ↗
35. 10.1002/aelm.20210023310.1002/aelm.202100233 ↗
36. 10.1021/acsami.9b1924210.1021/acsami.9b19242 ↗
37. 10.1021/acsami.8b1882310.1021/acsami.8b18823 ↗
38. 10.1021/acsami.2c1212010.1021/acsami.2c12120 ↗
39. 10.3390/polym1202025310.3390/polym12020253 ↗
40. 10.1002/adma.20190750510.1002/adma.201907505 ↗
41. 10.1007/s00289-016-1735-y10.1007/s00289-016-1735-y ↗
42. 10.1016/0022-2836(88)90471-810.1016/0022-2836(88)90471-8 ↗
43. 10.1002/jcc.2158210.1002/jcc.21582 ↗
44. 10.1021/jacs.8b0761710.1021/jacs.8b07617 ↗
45. Szalewicz K. · 2003
46. 10.1016/j.heliyon.2019.e0215510.1016/j.heliyon.2019.e02155 ↗
47. 10.1021/ja056454j10.1021/ja056454j ↗
48. 10.1021/ja00064a05510.1021/ja00064a055 ↗
49. 10.1038/359710a010.1038/359710a0 ↗
50. 10.1016/0014-5793(86)80730-X10.1016/0014-5793(86)80730-X ↗
51. 10.1038/366413a010.1038/366413a0 ↗
52. 10.1006/jmbi.1994.137010.1006/jmbi.1994.1370 ↗
53. 10.5194/mr-2-765-202110.5194/mr-2-765-2021 ↗
54. 10.1039/a827163z10.1039/a827163z ↗
55. 10.1002/ange.20150210310.1002/ange.201502103 ↗
56. 10.1038/s41598-019-56607-410.1038/s41598-019-56607-4 ↗
57. 10.1021/acsami.6b1307410.1021/acsami.6b13074 ↗
58. 10.1016/j.carbon.2018.08.02810.1016/j.carbon.2018.08.028 ↗
59. 10.1021/acs.chemmater.8b0194510.1021/acs.chemmater.8b01945 ↗
60. 10.1038/nature0496910.1038/nature04969 ↗
61. 10.1016/j.carbon.2015.12.02310.1016/j.carbon.2015.12.023 ↗
62. 10.1038/s41467-022-34631-910.1038/s41467-022-34631-9 ↗
63. 10.1021/acsapm.0c0051010.1021/acsapm.0c00510 ↗
64. 10.1021/acssuschemeng.2c0117110.1021/acssuschemeng.2c01171 ↗
65. 10.1016/j.coco.2021.10073510.1016/j.coco.2021.100735 ↗
66. 10.1002/mame.20200036110.1002/mame.202000361 ↗