journal article·2026-04

A MWCNT–PVDF/PCL Piezo‐Triboelectric Coupled Nanogenerator by Synergistic Regulation of Microcrystalline Phase and Patterned Structure for Self‐Powered Sensors

Xiuhong Li, Jiangzhou Li, Libo Wang, Jiatong Ren, Zhiyong Yang, Shuailong Zhang, Yi Li, Jinjiao Zhang, Daode Zhang, Yong Liu, Xinyu Hu

Small· Volume 22· Issue 19
Publisher page

Abstract

ABSTRACT Self‐powered sensor based on nanogenerator provides a potential strategy for addressing the power concern of intelligent sensor. However, the low output of piezo‐triboelectric coupled nanogenerator (PTCNG) severely hinders its applications in self‐powered sensor. To manage this issue, a novel PTCNG with synergistic regulation of microcrystalline phases and patterned structures was developed, which is composed of the multi‐wall carbon nanotube (MWCNT)‐polyvinylidene difluoride (PVDF) membrane prepared by solution electrospinning and the polycaprolactone (PCL) membrane with patterned structures manufactured by melt‐electrospinning direct writing. To establish the synergistic effects on the PTCNG output, four different assembled modes of PTCNG were constructed. In comparison to the PTCNG assembled with PVDF/PCL and MWCNT–PVDF/PCL with irregular structures, the obtained PTCNG demonstrates a significantly enhanced output performance with four times and 5.2 times higher. Specifically, the PTCNG exhibits a stable open‐circuit voltage (260 V) and contact response time (40 ms) and recovery response time (10 ms) after 75 min of continuous operations at a 4 Hz frequency (over 18 000 loading–unloading cycles). Additionally, this PTCNG can charge a 3.3µF capacitor to a voltage of around 29 V within 120 s, power 104 series‐connected LEDs, etc., suggesting a promising potential in self‐powered sensor.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Dielectric materials and actuators

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Hubei Key Laboratory of Modern Manufacturing Quality Engineering School of Mechanical Engineering Hubei University of Technology Wuhan China

School of Materials Science and Engineering Beijing University of Chemical Technology Beijing China

Funding

Natural Science Foundation of Hubei Province · National Natural Science Foundation of China

References (48)

Show source-provided references
1. 10.1002/advs.20241741410.1002/advs.202417414 ↗
2. 10.1016/j.nanoen.2025.11080510.1016/j.nanoen.2025.110805 ↗
3. 10.1016/j.eng.2022.04.00210.1016/j.eng.2022.04.002 ↗
4. 10.1016/j.jallcom.2025.17878110.1016/j.jallcom.2025.178781 ↗
5. 10.1557/s43577‐025‐00883‐110.1557/s43577‐025‐00883‐1 ↗
6. 10.1088/2631‐7990/ada8e310.1088/2631‐7990/ada8e3 ↗
7. 10.1021/acsanm.4c0030610.1021/acsanm.4c00306 ↗
8. 10.1002/adfm.20241806610.1002/adfm.202418066 ↗
9. 10.1021/acsapm.3c0130810.1021/acsapm.3c01308 ↗
10. 10.1021/acsnano.3c0907710.1021/acsnano.3c09077 ↗
11. 10.1016/j.pmatsci.2025.10149410.1016/j.pmatsci.2025.101494 ↗
12. 10.1002/adma.20250016210.1002/adma.202500162 ↗
13. 10.1021/acsnano.4c1310610.1021/acsnano.4c13106 ↗
14. 10.1002/adma.20241820710.1002/adma.202418207 ↗
15. 10.1016/j.nanoen.2023.10844410.1016/j.nanoen.2023.108444 ↗
16. 10.1002/mame.20230030710.1002/mame.202300307 ↗
17. 10.1016/j.cej.2024.15020410.1016/j.cej.2024.150204 ↗
18. 10.1007/s42765‐023‐00340‐110.1007/s42765‐023‐00340‐1 ↗
19. 10.1016/j.cej.2024.15149510.1016/j.cej.2024.151495 ↗
20. 10.1016/j.nanoen.2024.10929210.1016/j.nanoen.2024.109292 ↗
21. 10.1016/j.nanoen.2023.10896210.1016/j.nanoen.2023.108962 ↗
22. 10.1016/j.energy.2022.12310210.1016/j.energy.2022.123102 ↗
23. 10.1021/acsnano.3c0904310.1021/acsnano.3c09043 ↗
24. 10.1016/j.jallcom.2024.17341610.1016/j.jallcom.2024.173416 ↗
25. 10.1016/j.nanoen.2024.10926410.1016/j.nanoen.2024.109264 ↗
26. 10.1016/j.enconman.2023.11736810.1016/j.enconman.2023.117368 ↗
27. 10.1016/j.cej.2024.15553010.1016/j.cej.2024.155530 ↗
28. 10.1021/acsami.3c1576010.1021/acsami.3c15760 ↗
29. 10.1021/acsami.6b1110810.1021/acsami.6b11108 ↗
30. 10.1016/j.nanoen.2018.12.07610.1016/j.nanoen.2018.12.076 ↗
31. 10.1016/j.compscitech.2020.10854010.1016/j.compscitech.2020.108540 ↗
32. 10.1038/s41467‐022‐29087‐w10.1038/s41467‐022‐29087‐w ↗
33. 10.1016/j.cej.2024.15101410.1016/j.cej.2024.151014 ↗
34. 10.1016/j.sna.2014.03.01210.1016/j.sna.2014.03.012 ↗
35. 10.1016/j.nanoen.2020.10470610.1016/j.nanoen.2020.104706 ↗
36. 10.3390/ma1103034710.3390/ma11030347 ↗
37. 10.1039/D4RA07239A10.1039/D4RA07239A ↗
38. 10.3762/bjnano.12.9310.3762/bjnano.12.93 ↗
39. 10.1016/S0142‐9418(03)00003‐510.1016/S0142‐9418(03)00003‐5 ↗
40. 10.1016/j.progpolymsci.2013.07.00610.1016/j.progpolymsci.2013.07.006 ↗
41. 10.1002/adma.20170235010.1002/adma.201702350 ↗
42. 10.1038/s41598‐025‐87148‐810.1038/s41598‐025‐87148‐8 ↗
43. 10.1002/advs.20240401910.1002/advs.202404019 ↗
44. 10.1021/acs.nanolett.4c0564310.1021/acs.nanolett.4c05643 ↗
45. 10.1021/acs.nanolett.5c0162710.1021/acs.nanolett.5c01627 ↗
46. 10.1016/j.nantod.2018.08.00110.1016/j.nantod.2018.08.001 ↗
47. 10.1007/s40544-018-0217-710.1007/s40544-018-0217-7 ↗
48. 10.1007/s42765‐023‐00295‐310.1007/s42765‐023‐00295‐3 ↗