Topologically Programmed Graphene Oxide Membranes with Bioinspired Superstructures toward Boosting Osmotic Energy Harvesting
Source abstract
Abstract
Abstract The emergence of lamellar nanofluidic membranes offers feasible routes for developing highly efficient, mechanically robust, and large‐scale devices for osmotic energy harvesting. However, inferior ion permeability associated with their relatively long channels limits ionic flux and restricts their output performance. Herein, a superstructured graphene oxide membrane is developed to allow programmable topological variation in local geometry and contain laminar spaces inside. Such deliberate design offers excess specific area as well as nanofluidic channels to modulate transmembrane ionic transportation while concomitantly retaining similar nanoconfined environment in contrast to planar ones, leading to considerable enhancement of ionic permeability without compromising selectivity. This can be highly favorable in terms of osmotic energy harvesting, where the superstructured membranes offer a power output much higher than those of conventional planar ones. Besides, the superstructure design also endows the resulting membranes with benign biofouling resistance, which can be crucial to their long‐term usage in converting osmotic energy. This study highlights the importance of membrane topographies and presents a general design concept that could be extended to other nanoporous membranes to develop high‐performance nanofluidic devices.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Membrane Separation Technologies · Nanopore and Nanochannel Transport Studies · Graphene research and applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Science & Engineering Zhejiang Sci‐Tech University Hangzhou 310018 P. R. China
Laboratory of Bio‐inspired Smart Interface Science Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China
Funding
National Natural Science Foundation of China · China Postdoctoral Science Foundation
References (50)
Show source-provided references
1. 10.1038/nature1147710.1038/nature11477 ↗
2. 10.1039/C8CS00420J10.1039/C8CS00420J ↗
3. 10.1038/s41467-022-31523-w10.1038/s41467-022-31523-w ↗
4. 10.1016/j.trechm.2020.01.00110.1016/j.trechm.2020.01.001 ↗
5. 10.1126/science.aab053010.1126/science.aab0530 ↗
6. 10.1038/s41578-019-0126-z10.1038/s41578-019-0126-z ↗
7. 10.1038/nature1859310.1038/nature18593 ↗
8. 10.1021/acs.accounts.1c0043110.1021/acs.accounts.1c00431 ↗
9. 10.1126/science.aaf528910.1126/science.aaf5289 ↗
10. 10.1038/s41563-020-0625-810.1038/s41563-020-0625-8 ↗
11. 10.1038/s41578-021-00300-410.1038/s41578-021-00300-4 ↗
12. 10.1002/adma.20190456210.1002/adma.201904562 ↗
13. 10.1016/j.joule.2020.09.00910.1016/j.joule.2020.09.009 ↗
14. 10.2215/CJN.0940091310.2215/CJN.09400913 ↗
15. 10.31635/ccschem.020.20200029610.31635/ccschem.020.202000296 ↗
16. 10.1002/adfm.20210501310.1002/adfm.202105013 ↗
17. 10.1002/anie.20220615210.1002/anie.202206152 ↗
18. 10.1021/cr400531v10.1021/cr400531v ↗
19. 10.1002/adfm.20210759810.1002/adfm.202107598 ↗
20. 10.1039/C6CP05419F10.1039/C6CP05419F ↗
21. 10.1021/acs.accounts.2c0004210.1021/acs.accounts.2c00042 ↗
22. 10.1002/adma.20200171810.1002/adma.202001718 ↗
23. 10.1002/adma.20200715210.1002/adma.202007152 ↗
24. 10.1016/j.cclet.2020.04.04710.1016/j.cclet.2020.04.047 ↗
25. 10.1002/adfm.20180107910.1002/adfm.201801079 ↗
26. 10.1021/jacs.9b0008610.1021/jacs.9b00086 ↗
27. 10.1063/1.195489910.1063/1.1954899 ↗
28. 10.1002/adma.20190148310.1002/adma.201901483 ↗
29. 10.1002/adma.20210841010.1002/adma.202108410 ↗
30. 10.1126/sciadv.aau423810.1126/sciadv.aau4238 ↗
31. 10.1021/jacs.2c0279810.1021/jacs.2c02798 ↗
32. 10.1126/sciadv.abl507010.1126/sciadv.abl5070 ↗
33. 10.1021/jacs.2c0422310.1021/jacs.2c04223 ↗
34. 10.1038/s41565-022-01110-710.1038/s41565-022-01110-7 ↗
35. 10.1038/s41467-020-14674-610.1038/s41467-020-14674-6 ↗
36. 10.1021/acsenergylett.9b0229610.1021/acsenergylett.9b02296 ↗
37. 10.1021/jacs.0c1125110.1021/jacs.0c11251 ↗
38. 10.1016/j.joule.2019.11.01010.1016/j.joule.2019.11.010 ↗
39. 10.1038/s41467-019-10885-810.1038/s41467-019-10885-8 ↗
40. 10.1039/D0MH00979B10.1039/D0MH00979B ↗
41. 10.1021/acsnano.0c0130910.1021/acsnano.0c01309 ↗
42. 10.1021/acsnano.0c0984510.1021/acsnano.0c09845 ↗
43. 10.1016/j.cej.2022.13548410.1016/j.cej.2022.135484 ↗
44. 10.1021/acscentsci.1c0063310.1021/acscentsci.1c00633 ↗
45. 10.1073/pnas.200389811710.1073/pnas.2003898117 ↗
46. 10.1039/D1TA02400K10.1039/D1TA02400K ↗
47. 10.1021/acsnano.0c0951310.1021/acsnano.0c09513 ↗
48. 10.1021/accountsmr.1c0002410.1021/accountsmr.1c00024 ↗
49. 10.1002/adma.20210399910.1002/adma.202103999 ↗
50. 10.1016/j.memsci.2021.11991610.1016/j.memsci.2021.119916 ↗