Self‐Powered Linear Pressure Sensor Based on MXene/CNT Nanofluid Membrane
Source abstract
Abstract
Abstract Ion channels, which own efficient, accurate, and selective ion transport ability, play a key role in maintaining cell homeostasis, participating in signal transduction, and other physiological processes in organisms. However, the inherent complexity and uncontrollability of ion channels in nature restrict their direct use in technical applications. In order to address the application requirements of specific fields, nanochannels have been designed to simulate and optimize the functional characteristics of biological ion channels. Herein, two‐dimensional (2D) nanochannels based on MXene/carbon nanotube (CNT) composite membrane are constructed, with their ion transport mechanisms analyzed using molecular dynamics simulations. In addition, the ion transport characteristics in nanochannels under the influence of external environment of pressure are further explored and the current density can reach up to 315 nA cm −2 . Based on the ion selectivity of nanochannels in MXene/CNT composite membrane, a self‐powered linear pressure sensor is designed, which shows an ultrafast response (51.3 ms) and recovery time (60.2 ms), respectively. Thus, the sensor is capable of monitoring a range of human activities ranging from subtle deformations to vigorous body movements. Furthermore, the sensor can readily differentiate a range of sounds through air vibration and exhibit enormous potential in sound visualization technology.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Nanopore and Nanochannel Transport Studies · MXene and MAX Phase Materials · Graphene research and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Materials Physics, Ministry of Education, School of Physics Zhengzhou University Zhengzhou 450001 China
Henan Academy of Sciences Zhengzhou 450046 China
Institute of Quantum Materials and Physics Henan Academy of Sciences Zhengzhou 450046 China
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China
References (43)
Show source-provided references
1. 10.1002/ange.20181434910.1002/ange.201814349 ↗
2. 10.1126/science.120889110.1126/science.1208891 ↗
3. 10.1038/natrevmats.2016.1810.1038/natrevmats.2016.18 ↗
4. 10.1126/science.115799610.1126/science.1157996 ↗
5. 10.1002/ange.20191599310.1002/ange.201915993 ↗
6. 10.1002/adfm.20110291310.1002/adfm.201102913 ↗
7. Zhang Z. · PNAS Nexus · 2020 · 11710.1073/pnas.2003898117 ↗
8. 10.1002/adma.20110396510.1002/adma.201103965 ↗
9. 10.1038/nmat184910.1038/nmat1849 ↗
10. 10.1126/science.125422710.1126/science.1254227 ↗
11. 10.1002/smll.20240059310.1002/smll.202400593 ↗
12. 10.1002/advs.20220050710.1002/advs.202200507 ↗
13. 10.1007/s12274-023-6365-810.1007/s12274-023-6365-8 ↗
14. 10.1039/D0NR02012E10.1039/D0NR02012E ↗
15. 10.1007/s12274-024-6566-810.1007/s12274-024-6566-8 ↗
16. 10.1126/science.aan527510.1126/science.aan5275 ↗
17. 10.1021/acsami.8b0923210.1021/acsami.8b09232 ↗
18. 10.1126/science.aaf528910.1126/science.aaf5289 ↗
19. 10.1038/s41467-022-31523-w10.1038/s41467-022-31523-w ↗
20. 10.1021/acs.accounts.1c0043110.1021/acs.accounts.1c00431 ↗
21. 10.1002/adfm.20220976710.1002/adfm.202209767 ↗
22. 10.1002/adfm.20210501310.1002/adfm.202105013 ↗
23. 10.1021/jacs.3c0767510.1021/jacs.3c07675 ↗
24. 10.1038/s41578-020-00268-710.1038/s41578-020-00268-7 ↗
25. 10.1149/1945-7111/ad3aad10.1149/1945-7111/ad3aad ↗
26. 10.1021/acsnano.2c0130410.1021/acsnano.2c01304 ↗
27. 10.1021/acsnano.8b0670810.1021/acsnano.8b06708 ↗
28. 10.1038/ncomms860210.1038/ncomms8602 ↗
29. 10.1126/science.124571110.1126/science.1245711 ↗
30. 10.1021/nl070194h10.1021/nl070194h ↗
31. 10.1021/la902355x10.1021/la902355x ↗
32. 10.1002/adma.20230879510.1002/adma.202308795 ↗
33. 10.1021/acsnano.2c0867810.1021/acsnano.2c08678 ↗
34. 10.1007/s12274-021-3751-y10.1007/s12274-021-3751-y ↗
35. 10.1016/j.mtphys.2021.10052710.1016/j.mtphys.2021.100527 ↗
36. 10.1021/acs.est.2c0176510.1021/acs.est.2c01765 ↗
37. 10.1021/acs.est.3c1049710.1021/acs.est.3c10497 ↗
38. 10.1016/j.carbon.2019.04.03210.1016/j.carbon.2019.04.032 ↗
39. 10.1002/adfm.20201053310.1002/adfm.202010533 ↗
40. 10.1103/PhysRevLett.93.03590110.1103/PhysRevLett.93.035901 ↗
41. 10.1002/adma.20220864010.1002/adma.202208640 ↗
42. 10.1021/acsnano.3c1194410.1021/acsnano.3c11944 ↗
43. 10.1038/nature1187610.1038/nature11876 ↗