Detection Range Enhanced Highly Sensitive Niobate Nanosheet Pressure Sensors by Optimization of Substrate and Electrode Materials
Source abstract
Abstract
With the widespread application of flexible pressure sensors in various fields, the demand for developing high‐performance flexible pressure sensors is increasing. Two‐dimensional oxide pressure sensors (2DOPSs) hold immense potential due to their ultra‐high sensitivity. However, further improving the overall performance of the device remains a challenge for 2DOPSs, especially to widen the pressure sensing range of the sensor. In this article, the effect of substrate and electrode materials on the performance of the Ca2Nb3O10 nanosheet pressure sensors is investigated. It is found that the lower the Rockwell hardness of the electrodes of the device, the easier the substrate material deforms under pressure, and the lower the device pressure threshold, the higher the sensitivity. The optimization of the substrates and electrodes yields Ca2Nb3O10 nanosheet pressure sensors with sensitivity up to 105 kPa−1 in a large detection range, fast response time (83/165 ms) and good stability. This work provides guideline for further development of 2DOPSs.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Sensor and Energy Harvesting Materials · Analytical Chemistry and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Henan Key Laboratory of High Temperature Functional Ceramics School of Materials Science and Engineering Zhengzhou University Zhengzhou 450052 China
Henan Institute of Product Quality Supervision and Inspection Zhengzhou 450047 China
MESA+ Institute for Nanotechnology University of Twente 7522 NH Enschede Netherlands
Funding
National Natural Science Foundation of China
References (38)
Show source-provided references
1. 10.1016/j.cej.2021.13345810.1016/j.cej.2021.133458 ↗
2. 10.1021/acsnano.1c0047210.1021/acsnano.1c00472 ↗
3. 10.1016/j.jmst.2019.11.01410.1016/j.jmst.2019.11.014 ↗
4. 10.1021/acsami.8b2028410.1021/acsami.8b20284 ↗
5. 10.1021/acsami.0c1615210.1021/acsami.0c16152 ↗
6. 10.1021/acsanm.2c0108110.1021/acsanm.2c01081 ↗
7. 10.1021/acsanm.1c0145510.1021/acsanm.1c01455 ↗
8. 10.1021/acsami.9b0626010.1021/acsami.9b06260 ↗
9. 10.1002/admt.20190067910.1002/admt.201900679 ↗
10. 10.1016/j.compscitech.2021.10873010.1016/j.compscitech.2021.108730 ↗
11. 10.1016/j.sna.2022.11345810.1016/j.sna.2022.113458 ↗
12. 10.1021/acsami.9b1887310.1021/acsami.9b18873 ↗
13. 10.1021/acssuschemeng.1c0306810.1021/acssuschemeng.1c03068 ↗
14. 10.1021/acsami.9b0746510.1021/acsami.9b07465 ↗
15. 10.1021/acsami.0c2278410.1021/acsami.0c22784 ↗
16. 10.1021/acsnano.9b0895210.1021/acsnano.9b08952 ↗
17. 10.1016/j.apsusc.2023.15632810.1016/j.apsusc.2023.156328 ↗
18. 10.1021/acsami.2c2272710.1021/acsami.2c22727 ↗
19. 10.1021/acsami.3c0117510.1021/acsami.3c01175 ↗
20. 10.1007/s12274-023-5727-610.1007/s12274-023-5727-6 ↗
21. 10.1016/j.nanoen.2019.02.03610.1016/j.nanoen.2019.02.036 ↗
22. 10.1002/admt.20200115710.1002/admt.202001157 ↗
23. 10.1021/acsami.2c1486310.1021/acsami.2c14863 ↗
24. 10.1021/acsanm.2c0295510.1021/acsanm.2c02955 ↗
25. 10.1002/smll.20170242210.1002/smll.201702422 ↗
26. 10.1016/j.nanoen.2018.05.02010.1016/j.nanoen.2018.05.020 ↗
27. 10.1021/acsami.7b0551510.1021/acsami.7b05515 ↗
28. 10.1016/j.nanoen.2017.10.00710.1016/j.nanoen.2017.10.007 ↗
29. 10.1002/nano.20210005310.1002/nano.202100053 ↗
30. 10.1002/adhm.20200146110.1002/adhm.202001461 ↗
31. 10.1002/admt.20200067710.1002/admt.202000677 ↗
32. 10.1002/smll.20180081910.1002/smll.201800819 ↗
33. Tang G. · ACS Appl. Mater. Interfaces · 2024 · 16 · 55722
34. 10.1021/nn101453v10.1021/nn101453v ↗
35. 10.1021/acs.nanolett.3c0007910.1021/acs.nanolett.3c00079 ↗
36. 10.1021/jacs.7b0566510.1021/jacs.7b05665 ↗
37. 10.1021/acs.jpcc.6b0796110.1021/acs.jpcc.6b07961 ↗
38. 10.1016/j.matlet.2020.12863510.1016/j.matlet.2020.128635 ↗