Recent Advances of Carbon-Based Flexible Strain Sensors in Physiological Signal Monitoring
Source abstract
Abstract
Flexible strain sensors have attracted much attention due to their good flexibility, high sensitivity, superior repeatability, and great potentials for application in physiological signal detection. Carbon materials, including carbon nanotubes, graphene, carbon black, graphite, and natural-bioderived carbon materials are often used as active materials for the fabrication of flexible strain sensors because of their superior electrical conductivity and flexibility. Among them, carbon nanotubes and graphene can be prepared into flexible sensors in various forms, such as fibers, films, or textiles. Therefore, carbon material flexible sensors used for physiological signal detection have been sufficiently studied. Herein, the sensing mechanism of flexible strain sensors and the recent advances are reviewed. Sensor characteristics and functions of fibers/films with carbon nanotubes, graphene, and other carbon materials are described in terms of materials, preparation, and properties. From the aspect of sensor application, the sensors with different materials in large- and small-amplitude physiological signals are introduced in detail. Eventually, the superiorities and disadvantages of various carbon-based flexible strain sensors are summarized, and the challenges and opportunities of them in the future are also presented.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Gas Sensing Nanomaterials and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Eco-textiles, Ministry of Education, Jiangnan University, Wuxi 214122, China
Funding
National Natural Science Foundation of China
References (100+)
Show source-provided references
1. 10.1002/adma.20150424410.1002/adma.201504244 ↗
2. 10.1002/smll.20160279010.1002/smll.201602790 ↗
3. 10.1021/acssensors.6b0014510.1021/acssensors.6b00145 ↗
4. 10.1021/acsnano.5b0161310.1021/acsnano.5b01613 ↗
5. 10.1021/acssuschemeng.6b0078310.1021/acssuschemeng.6b00783 ↗
6. 10.1039/C7NR01865G10.1039/C7NR01865G ↗
7. 10.1021/acsami.7b0793510.1021/acsami.7b07935 ↗
8. 10.1109/TRANSDUCERS.2017.799425510.1109/TRANSDUCERS.2017.7994255 ↗
9. 10.1002/adma.20160387810.1002/adma.201603878 ↗
10. 10.1126/sciadv.160147310.1126/sciadv.1601473 ↗
11. 10.1126/science.aaa930610.1126/science.aaa9306 ↗
12. 10.1021/nn506341u10.1021/nn506341u ↗
13. 10.1002/adma.20160040810.1002/adma.201600408 ↗
14. 10.1002/adma.20140380710.1002/adma.201403807 ↗
15. 10.1021/acsaelm.9b0033010.1021/acsaelm.9b00330 ↗
16. 10.1126/science.123485510.1126/science.1234855 ↗
17. 10.1021/acsaelm.9b0036310.1021/acsaelm.9b00363 ↗
18. 10.1002/adma.20180107210.1002/adma.201801072 ↗
19. 10.1039/C6NR04467K10.1039/C6NR04467K ↗
20. 10.1016/j.cej.2019.12298510.1016/j.cej.2019.122985 ↗
21. 10.1016/j.compositesb.2013.10.00610.1016/j.compositesb.2013.10.006 ↗
22. 10.1021/acsanm.8b0064710.1021/acsanm.8b00647 ↗
23. 10.1007/s12274-017-1731-z10.1007/s12274-017-1731-z ↗
24. 10.1021/acs.nanolett.6b0373910.1021/acs.nanolett.6b03739 ↗
25. 10.1038/nnano.2011.18410.1038/nnano.2011.184 ↗
26. 10.1007/s40843-017-9077-x10.1007/s40843-017-9077-x ↗
27. 10.1088/1361-665X/ab000210.1088/1361-665X/ab0002 ↗
28. 10.1021/acsaelm.9b0011410.1021/acsaelm.9b00114 ↗
29. 10.1039/C7TC05571D10.1039/C7TC05571D ↗
30. 10.1007/s10854-018-0242-310.1007/s10854-018-0242-3 ↗
31. 10.1088/0957-4484/26/37/37550110.1088/0957-4484/26/37/375501 ↗
32. 10.1016/j.matdes.2017.06.01110.1016/j.matdes.2017.06.011 ↗
33. 10.1016/j.synthmet.2016.05.00510.1016/j.synthmet.2016.05.005 ↗
34. 10.1016/j.cej.2017.07.09410.1016/j.cej.2017.07.094 ↗
35. 10.1016/j.carbon.2015.09.07610.1016/j.carbon.2015.09.076 ↗
36. 10.1021/acsnano.5b0278110.1021/acsnano.5b02781 ↗
37. 10.1039/C8TA07847E10.1039/C8TA07847E ↗
38. 10.1039/C6TC01925K10.1039/C6TC01925K ↗
39. 10.1016/j.compositesa.2015.01.00110.1016/j.compositesa.2015.01.001 ↗
40. 10.1007/s10853-015-8862-y10.1007/s10853-015-8862-y ↗
41. 10.1021/acsaelm.9b0035610.1021/acsaelm.9b00356 ↗
42. 10.1021/acsaelm.9b0056110.1021/acsaelm.9b00561 ↗
43. 10.1039/C8TC02702A10.1039/C8TC02702A ↗
44. 10.1002/adma.20160641110.1002/adma.201606411 ↗
45. 10.1002/adma.20150355810.1002/adma.201503558 ↗
46. 10.1016/j.apsusc.2018.04.09910.1016/j.apsusc.2018.04.099 ↗
47. 10.1002/admt.20170013610.1002/admt.201700136 ↗
48. 10.1002/adma.20150000910.1002/adma.201500009 ↗
49. 10.1016/j.carbon.2016.11.02710.1016/j.carbon.2016.11.027 ↗
50. 10.1002/adfm.20140175810.1002/adfm.201401758 ↗
51. 10.1002/adma.20060134410.1002/adma.200601344 ↗
52. 10.1515/polyeng-2016-037510.1515/polyeng-2016-0375 ↗
53. 10.1126/science.122806110.1126/science.1228061 ↗
54. 10.1149/2.0271803jss10.1149/2.0271803jss ↗
55. 10.1016/j.compscitech.2018.09.00610.1016/j.compscitech.2018.09.006 ↗
56. 10.1039/C8NR02528B10.1039/C8NR02528B ↗
57. 10.1021/acsnano.5b0059910.1021/acsnano.5b00599 ↗
58. 10.1039/C7TC04959E10.1039/C7TC04959E ↗
59. 10.1002/adfm.20170559110.1002/adfm.201705591 ↗
60. 10.1039/C7NR06219B10.1039/C7NR06219B ↗
61. 10.1021/acsami.6b0820710.1021/acsami.6b08207 ↗
62. 10.1002/adma.20150140810.1002/adma.201501408 ↗
63. 10.1088/2053-1591/ab884210.1088/2053-1591/ab8842 ↗
64. 10.1080/09243046.2016.114587610.1080/09243046.2016.1145876 ↗
65. 10.1016/j.sna.2017.07.02010.1016/j.sna.2017.07.020 ↗
66. 10.1016/j.snb.2016.02.08810.1016/j.snb.2016.02.088 ↗
67. 10.1016/j.cej.2018.12.02510.1016/j.cej.2018.12.025 ↗
68. 10.1021/acsami.7b1298710.1021/acsami.7b12987 ↗
69. 10.1021/acsami.6b1519510.1021/acsami.6b15195 ↗
70. 10.3390/polym1006056810.3390/polym10060568 ↗
71. 10.1039/C8NR08399A10.1039/C8NR08399A ↗
72. 10.1016/j.compscitech.2018.01.01910.1016/j.compscitech.2018.01.019 ↗
73. 10.3390/nano810078610.3390/nano8100786 ↗
74. 10.1021/acsami.6b0721110.1021/acsami.6b07211 ↗
75. 10.1039/c2cs35387c10.1039/c2cs35387c ↗
76. 10.1021/nn501723y10.1021/nn501723y ↗
77. 10.1039/C6TC00350H10.1039/C6TC00350H ↗
78. 10.1021/acsami.6b0508810.1021/acsami.6b05088 ↗
79. 10.1021/acsnano.6b0381310.1021/acsnano.6b03813 ↗
80. 10.1063/1.480279910.1063/1.4802799 ↗
81. 10.1021/acssensors.7b0023010.1021/acssensors.7b00230 ↗
82. 10.1002/adfm.20160261910.1002/adfm.201602619 ↗
83. 10.1002/aelm.20180046110.1002/aelm.201800461 ↗
84. 10.1002/adma.20120344810.1002/adma.201203448 ↗
85. 10.1021/nn501098d10.1021/nn501098d ↗
86. 10.1016/j.compositesa.2017.11.02710.1016/j.compositesa.2017.11.027 ↗
87. 10.1016/j.carbon.2017.10.03410.1016/j.carbon.2017.10.034 ↗
88. 10.1021/acsami.5b0069510.1021/acsami.5b00695 ↗
89. 10.1016/j.snb.2019.01.06310.1016/j.snb.2019.01.063 ↗
90. 10.1021/acs.chemmater.5b0209810.1021/acs.chemmater.5b02098 ↗
91. 10.1016/j.surfcoat.2016.04.06610.1016/j.surfcoat.2016.04.066 ↗
92. 10.1016/j.jmst.2019.05.02710.1016/j.jmst.2019.05.027 ↗
93. 10.1364/AO.56.00777410.1364/AO.56.007774 ↗
94. Wang X. · J. Univ. Electron. Sci. Technol. China. · 2017 · 46 · 151
95. 10.1039/C8QM00260F10.1039/C8QM00260F ↗
96. 10.1002/adma.20140026710.1002/adma.201400267 ↗
97. 10.1016/j.sna.2018.04.04010.1016/j.sna.2018.04.040 ↗
98. 10.1016/j.compscitech.2018.08.02210.1016/j.compscitech.2018.08.022 ↗
99. 10.1016/j.compscitech.2018.12.03110.1016/j.compscitech.2018.12.031 ↗
100. 10.1016/j.compscitech.2017.04.01910.1016/j.compscitech.2017.04.019 ↗