Integrated Flexible Pressure Sensor Based on Bioinspired Lotus-Leaf Microstructures
Source abstract
Abstract
Flexible pressure sensors hold significant application value in fields such as healthcare monitoring and human−machine interaction. However, conventional flexible piezoresistive pressure sensors fundamentally face two critical challenges: (i) the inherent trade-off between high sensitivity and a wide detection range and (ii) structural instability caused by matrix collapse under sequence compression. To address these limitations, we develop an integrated hybrid piezoresistive pressure sensor using Ti 3 C 2 T x MXene and multiwalled carbon nanotubes (MWCNTs) as active materials. Inspired by the bioinspired lotus leaf structure, the sensor combines a microdome structure with a modified porous architecture, forming an integrated hierarchical microstructure. A synergistic, multiple response is activated under applied pressure: the microdome/electrode contact area expands, quantum tunneling through the compressed network is dramatically enhanced, and the MXene/MWCNT conductive framework undergoes coordinated collapse, collectively amplifying the overall electrical response. As a result, this integrated sensor achieves a high sensitivity (−7.94 kPa −1 ), a wide detection effective range (0−200 kPa), and a rapid response time (56 ms). Furthermore, the integrated bioinspired structure design ensures superior signal stability with a long duration (6000 cycles under 6 kPa pressure), enabling outstanding overall performance. The advanced pressure sensor, with multifunctional capabilities spanning human motion detection, posture correction, cycling analytics, and data transmission, represents a compelling enabler for next-generation wearables and offers strong commercial potential.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Mechanical and Optical Resonators
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Science and Engineering
Zhejiang Sci-Tech University
Department of Chemical Engineering
Bogazici University
Material Institute
TUBITAK Marmara Research Center
Zhejiang Sci-Tech University Shengzhou Innovation Research Institute
Funding
Natural Science Foundation of Zhejiang Province · Shengzhou Innovation Research Institute, Zhejiang Sci-Tech University
References (62)
Show source-provided references
1. 10.1016/j.pmatsci.2019.10061710.1016/j.pmatsci.2019.100617 ↗
2. 10.1002/smll.20230665510.1002/smll.202306655 ↗
3. 10.1021/acssensors.4c0083610.1021/acssensors.4c00836 ↗
4. 10.1039/D3TA06976A10.1039/D3TA06976A ↗
5. 10.1080/15583724.2023.226255810.1080/15583724.2023.2262558 ↗
6. 10.47852/bonviewSWT5202577010.47852/bonviewSWT52025770 ↗
7. 10.1002/adfm.20190524110.1002/adfm.201905241 ↗
8. 10.1002/advs.20240537410.1002/advs.202405374 ↗
9. 10.1021/acsnano.3c0901610.1021/acsnano.3c09016 ↗
10. 10.1002/advs.20230960710.1002/advs.202309607 ↗
11. 10.1007/s42765-024-00479-510.1007/s42765-024-00479-5 ↗
12. 10.1002/sstr.20247004510.1002/sstr.202470045 ↗
13. 10.1016/j.jcis.2024.04.01110.1016/j.jcis.2024.04.011 ↗
14. 10.1016/j.cej.2024.14975810.1016/j.cej.2024.149758 ↗
15. 10.1002/smll.20170343210.1002/smll.201703432 ↗
16. 10.1016/j.nanoen.2021.10617810.1016/j.nanoen.2021.106178 ↗
17. 10.1016/j.jmst.2024.08.01510.1016/j.jmst.2024.08.015 ↗
18. 10.1038/s41528-024-00310-610.1038/s41528-024-00310-6 ↗
19. 10.1016/j.nanoen.2024.11018810.1016/j.nanoen.2024.110188 ↗
20. 10.1016/j.nanoen.2024.10939510.1016/j.nanoen.2024.109395 ↗
21. 10.1002/smll.20240506410.1002/smll.202405064 ↗
22. 10.1038/s41467-017-01136-910.1038/s41467-017-01136-9 ↗
23. 10.1002/admt.20190036710.1002/admt.201900367 ↗
24. 10.1016/j.coco.2023.10154410.1016/j.coco.2023.101544 ↗
25. 10.1039/D4TA08386E10.1039/D4TA08386E ↗
26. 10.1038/s41467-022-29424-z10.1038/s41467-022-29424-z ↗
27. 10.1016/j.cej.2024.15835910.1016/j.cej.2024.158359 ↗
28. 10.1021/acsami.2c2272710.1021/acsami.2c22727 ↗
29. 10.1007/s42765-023-00359-410.1007/s42765-023-00359-4 ↗
30. 10.1039/D5TA01873K10.1039/D5TA01873K ↗
31. 10.1007/s42765-024-00502-910.1007/s42765-024-00502-9 ↗
32. 10.1016/j.matdes.2025.11420110.1016/j.matdes.2025.114201 ↗
33. 10.1021/acsnano.1c0823910.1021/acsnano.1c08239 ↗
34. 10.1002/adma.20211060810.1002/adma.202110608 ↗
35. 10.1002/adma.20231276110.1002/adma.202312761 ↗
36. 10.1016/j.mtphys.2021.10052710.1016/j.mtphys.2021.100527 ↗
37. 10.1021/acsnano.1c0024810.1021/acsnano.1c00248 ↗
38. 10.1002/adma.20200584610.1002/adma.202005846 ↗
39. 10.1088/1361-665X/accee910.1088/1361-665X/accee9 ↗
40. 10.1002/smll.20220480610.1002/smll.202204806 ↗
41. 10.1039/D2NR06084A10.1039/D2NR06084A ↗
42. 10.1038/s41378-024-00680-x10.1038/s41378-024-00680-x ↗
43. 10.1016/j.bios.2026.11838610.1016/j.bios.2026.118386 ↗
44. 10.1002/adfm.20240835410.1002/adfm.202408354 ↗
45. 10.1002/smll.20160141910.1002/smll.201601419 ↗
46. 10.1002/adfm.20200349110.1002/adfm.202003491 ↗
47. 10.1016/j.jmat.2020.01.00910.1016/j.jmat.2020.01.009 ↗
48. 10.1016/j.isci.2022.10414810.1016/j.isci.2022.104148 ↗
49. 10.1002/adfm.20200893610.1002/adfm.202008936 ↗
50. 10.1126/sciadv.adv212410.1126/sciadv.adv2124 ↗
51. 10.1016/j.nanoen.2024.11028510.1016/j.nanoen.2024.110285 ↗
52. 10.1002/adfm.20241446510.1002/adfm.202414465 ↗
53. 10.1002/adfm.20242577410.1002/adfm.202425774 ↗
54. 10.1016/j.cej.2025.16422110.1016/j.cej.2025.164221 ↗
55. 10.1016/j.matlet.2025.13909010.1016/j.matlet.2025.139090 ↗
56. 10.1109/JSEN.2023.330505810.1109/JSEN.2023.3305058 ↗
57. 10.1016/j.flatc.2025.10097210.1016/j.flatc.2025.100972 ↗
58. 10.1016/j.cej.2022.14043610.1016/j.cej.2022.140436 ↗
59. 10.1016/j.cej.2021.13310310.1016/j.cej.2021.133103 ↗
60. 10.1016/j.jmst.2025.10.02110.1016/j.jmst.2025.10.021 ↗
61. 10.1016/j.sna.2024.11581010.1016/j.sna.2024.115810 ↗
62. 10.1016/j.compscitech.2022.10956310.1016/j.compscitech.2022.109563 ↗