Controlling the Output Performance of Triboelectric Nanogenerator Through Filling Isostructural Metal–Organic Frameworks With Varying Functional Groups
Source abstract
Abstract
Abstract Metal–organic frameworks (MOFs) are recently used in triboelectric nanogenerator (TENG) to enhance output performance. Although functional groups tremendously influence the output performance of TENG, the effect of functional groups for MOFs on the output performance is yet not systematically studied. In this paper, polydimethylsiloxane (PDMS) composite TENG is designed based on isostructural UiO‐66‐R (R = H, NH2, NO2, and Br) family filler, and the effect of filler with various functional groups on the output performance of the TENG is first systematically studied. All the composites TENG harvest a higher output performance than the pure PDMS TENG. The TENG follows an output performance trend of PDMS@UiO‐66‐NO2 > PDMS@UiO‐66‐Br > PDMS@UiO‐66 > PDMS@UiO‐66‐NH2 > PDMS. The PDMS@UiO‐66‐NO2 TENG exhibits an open‐circuit voltage of ≈191 V and a current of ≈17.3 µA, which are 3.6 times and 4.25 times over that of the PDMS TENG. The working mechanism of the composite TENG is discussed in detail through experimental analysis. This work first proves a novel strategy to improve the output performance by functionalized filler MOFs with large electron‐withdrawing functional groups, and guides us on how to choose high‐efficiency triboelectric filler.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Supercapacitor Materials and Fabrication
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Chemistry and Chemical Engineering North University of China Taiyuan 030051 China
Key Lab for Special Functional Materials Ministry of Education School of Materials Science and Engineering Henan University Kaifeng 475004 China
Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing 101400 China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Shanxi Province
References (40)
Show source-provided references
1. 10.1002/anie.20030061010.1002/anie.200300610 ↗
2. 10.1002/anie.20030063610.1002/anie.200300636 ↗
3. 10.1016/j.ccr.2018.03.01510.1016/j.ccr.2018.03.015 ↗
4. 10.1039/C6CS00537C10.1039/C6CS00537C ↗
5. 10.1016/j.ccr.2015.05.00510.1016/j.ccr.2015.05.005 ↗
6. 10.1039/C4CS90059F10.1039/C4CS90059F ↗
7. 10.1002/chem.20210069610.1002/chem.202100696 ↗
8. 10.1021/acs.inorgchem.5b0273910.1021/acs.inorgchem.5b02739 ↗
9. 10.1002/anie.20070599810.1002/anie.200705998 ↗
10. 10.1016/j.jddst.2019.06.00310.1016/j.jddst.2019.06.003 ↗
11. 10.1021/jacs.5b1172010.1021/jacs.5b11720 ↗
12. 10.1002/anie.20201525010.1002/anie.202015250 ↗
13. 10.1039/C8TA07839D10.1039/C8TA07839D ↗
14. 10.1021/acs.cgd.7b0016610.1021/acs.cgd.7b00166 ↗
15. 10.1021/ja305754f10.1021/ja305754f ↗
16. 10.1002/advs.20210456110.1002/advs.202104561 ↗
17. 10.1002/advs.20210391110.1002/advs.202103911 ↗
18. 10.1002/adfm.20200629110.1002/adfm.202006291 ↗
19. 10.1039/C4CS00076E10.1039/C4CS00076E ↗
20. 10.1039/C5CS00837A10.1039/C5CS00837A ↗
21. 10.1002/pssr.20100420010.1002/pssr.201004200 ↗
22. 10.1039/C7CS00041C10.1039/C7CS00041C ↗
23. 10.1007/s40544-020-0390-310.1007/s40544-020-0390-3 ↗
24. 10.1007/s12274-022-4731-610.1007/s12274-022-4731-6 ↗
25. 10.1016/j.mattod.2019.05.01610.1016/j.mattod.2019.05.016 ↗
26. 10.1016/j.nanoen.2020.10488410.1016/j.nanoen.2020.104884 ↗
27. 10.1021/acsnano.9b0491110.1021/acsnano.9b04911 ↗
28. 10.1016/j.nanoen.2020.10495810.1016/j.nanoen.2020.104958 ↗
29. 10.1016/j.nanoen.2013.12.01610.1016/j.nanoen.2013.12.016 ↗
30. 10.1021/acsnano.7b0215610.1021/acsnano.7b02156 ↗
31. 10.1002/adfm.20170079410.1002/adfm.201700794 ↗
32. 10.1016/j.nanoen.2020.10559910.1016/j.nanoen.2020.105599 ↗
33. 10.1039/C7TA01524K10.1039/C7TA01524K ↗
34. 10.1016/j.nanoen.2020.10567010.1016/j.nanoen.2020.105670 ↗
35. 10.1021/acsami.5b0990710.1021/acsami.5b09907 ↗
36. 10.1002/adfm.20180765510.1002/adfm.201807655 ↗
37. 10.1039/D1TA08605G10.1039/D1TA08605G ↗
38. 10.1016/j.nanoen.2020.10451710.1016/j.nanoen.2020.104517 ↗
39. 10.1016/j.fuel.2020.11980710.1016/j.fuel.2020.119807 ↗
40. 10.1002/anie.20150407710.1002/anie.201504077 ↗