rGO/CTAB/CMF Flexible Pressure Sensor Based on Honeycomb Structure for Human Posture Signal Acquisition
Source abstract
Abstract
Detecting pressure plays a vital role in electronic skin, which holds vast potential for recognizing physiological signals within the human body. Conventional pressure detection devices frequently encounter issues such as limited detection ranges and low cyclic retention rates. This study utilizes electrostatic self-assembly to precisely deposit reduced graphene oxide (rGO) onto the substrate surface, thereby creating a highly sensitive pressure feedback layer upon reduction. Furthermore, electrostatic spinning is employed to fabricate poly(vinyl alcohol) fibers at the interface between the pressure feedback layer and the interdigitated electrodes, thereby augmenting device sensitivity. Sensors fabricated using this method demonstrate exceptional sensing capabilities across a broad pressure spectrum, achieving ultrahigh sensitivities of 195.44, 165.79, and 125.95 kPa –1 within the ranges of 0–2.7, 2.7–6.91, and 6.91–20 kPa, respectively. They exhibit a rapid deformation response of 92 ms and a fast deformation recovery of 70 ms. Moreover, these sensors display outstanding durability, maintaining over 80% cyclic retention after 10,000 loading–unloading cycles. Finite element numerical simulation results suggest that the rGO/CTAB/CMF composite material, prepared using this method, exhibits superior mechanical and sensing properties. Furthermore, by integration with a custom microprocessor, the sensor’s operational capability is significantly enhanced, enabling precise processing and analysis of limb signal data in everyday situations.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Tactile and Sensory Interactions · Conducting polymers and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Science
Changchun Institute of Technology
School of Water Conservancy & Environment Engineering
Key Laboratory of Advanced Structural Materials, Ministry of Education & Advanced Institute of Materials Science
Changchun University of Technology
Funding
Department of Science and Technology of Jilin Province
References (48)
Show source-provided references
1. 10.1021/acsami.4c0435710.1021/acsami.4c04357 ↗
2. 10.1063/5.007766710.1063/5.0077667 ↗
3. 10.1016/j.apsusc.2021.15169810.1016/j.apsusc.2021.151698 ↗
4. 10.1002/admt.20170024810.1002/admt.201700248 ↗
5. 10.1002/smll.20120240710.1002/smll.201202407 ↗
6. 10.1002/smll.20170393410.1002/smll.201703934 ↗
7. 10.1002/adma.20150573910.1002/adma.201505739 ↗
8. 10.1016/j.carbon.2019.01.00910.1016/j.carbon.2019.01.009 ↗
9. 10.1002/admi.20200039110.1002/admi.202000391 ↗
10. 10.1002/adfm.20211308210.1002/adfm.202113082 ↗
11. 10.1016/j.apsusc.2019.05.17610.1016/j.apsusc.2019.05.176 ↗
12. 10.1002/smll.20120122410.1002/smll.201201224 ↗
13. 10.1016/j.apsusc.2015.02.03110.1016/j.apsusc.2015.02.031 ↗
14. 10.1021/acsami.7b1538610.1021/acsami.7b15386 ↗
15. 10.1021/acsanm.1c0183110.1021/acsanm.1c01831 ↗
16. 10.1002/adma.20130304110.1002/adma.201303041 ↗
17. 10.1002/admt.20200026810.1002/admt.202000268 ↗
18. 10.1021/acsanm.0c0000110.1021/acsanm.0c00001 ↗
19. 10.1002/smll.20140210910.1002/smll.201402109 ↗
20. 10.1002/advs.20220247010.1002/advs.202202470 ↗
21. 10.1016/j.apsusc.2021.15183210.1016/j.apsusc.2021.151832 ↗
22. 10.1021/acsami.0c0546510.1021/acsami.0c05465 ↗
23. 10.1002/admt.20200107110.1002/admt.202001071 ↗
24. 10.1002/adma.20231010210.1002/adma.202310102 ↗
25. 10.1002/smll.20180455910.1002/smll.201804559 ↗
26. 10.1021/acsanm.0c0159310.1021/acsanm.0c01593 ↗
27. 10.1016/j.carbon.2017.06.00610.1016/j.carbon.2017.06.006 ↗
28. 10.1088/1361-6528/ab1a8610.1088/1361-6528/ab1a86 ↗
29. 10.1039/C8NR02813C10.1039/C8NR02813C ↗
30. 10.1039/C8NR08503J10.1039/C8NR08503J ↗
31. 10.1038/ncomms400210.1038/ncomms4002 ↗
32. 10.1002/adma.20180338810.1002/adma.201803388 ↗
33. 10.1016/j.carbon.2021.11.02710.1016/j.carbon.2021.11.027 ↗
34. 10.1021/acsami.1c0575310.1021/acsami.1c05753 ↗
35. 10.1002/admt.20180057410.1002/admt.201800574 ↗
36. 10.1002/adfm.20170151310.1002/adfm.201701513 ↗
37. 10.1021/acsanm.9b0036410.1021/acsanm.9b00364 ↗
38. 10.1016/j.carbon.2020.12.08410.1016/j.carbon.2020.12.084 ↗
39. 10.1002/admt.20180059410.1002/admt.201800594 ↗
40. 10.1016/j.matt.2023.08.02010.1016/j.matt.2023.08.020 ↗
41. 10.1002/aelm.20180046110.1002/aelm.201800461 ↗
42. 10.1002/admt.20190044310.1002/admt.201900443 ↗
43. 10.1016/j.cej.2022.13451510.1016/j.cej.2022.134515 ↗
44. 10.1002/smll.20220150810.1002/smll.202201508 ↗
45. 10.1016/j.cej.2020.12710510.1016/j.cej.2020.127105 ↗
46. 10.1016/j.cej.2022.13663110.1016/j.cej.2022.136631 ↗
47. 10.1021/acsami.1c2200110.1021/acsami.1c22001 ↗
48. 10.1002/adma.20221032210.1002/adma.202210322 ↗