journal article·2019-09-25

Sulfonated Sub-Nanochannels in a Robust MOF Membrane: Harvesting Salinity Gradient Power

Yi Guo, Hubiao Huang, Zhuoyi Li, Xiaobin Wang, Peipei Li, Zheng Deng, Xinsheng Peng

ACS Applied Materials & Interfaces· Volume 11· Issue 38
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Abstract

We developed a robust, crack-free ultrathin zeolite– imidazole framework (ZIF-8) membrane in-built with a sulfonate-ion-containing polymer (ZIFHep) via a vapor-assisted in situ conversion process. The sulfonated sub-nanochannels of the ZIFHep membrane afforded a rapid and selective transport of Li+ over counteranions and other alkali ions due to electrostatic repulsion and optimal transport kinetics of cation–sulfonate ion pairs. A salinity gradient power generator (SGPG) was built by using the ZIFHep membrane as a cell separator coupled with a pair of Ag/AgCl porous membrane electrodes. At a salinity gradient of 105, such a power generator presented a significantly decreased internal resistance (25.6 Ω), three-order of magnitude lower than that reported previously, and an output power as high as 9.03 μW.
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Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Fuel Cells and Related Materials · Membrane-based Ion Separation Techniques

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

Affiliations

State Key Laboratory of Silicon Materials, Department of Materials Science and Engineering, Zhejiang University, Zheda Road 38, Hangzhou 310027, China

Department of Chemistry and Biotechnology, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

Shenzhen Key Laboratory of Laser Engineering, College of Optoelectronic Engineering, Shenzhen University, Nanhai Road, 3688, Shenzhen 518060, China

Funding

Ministry of Science and Technology of the People's Republic of China · National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province

References (30)

Show source-provided references
1. 10.1038/nature0488010.1038/nature04880 ↗
2. 10.1093/brain/aws22510.1093/brain/aws225 ↗
3. 10.1002/anie.20110490410.1002/anie.201104904 ↗
4. 10.1002/adma.20170277310.1002/adma.201702773 ↗
5. 10.1126/science.125443210.1126/science.1254432 ↗
6. 10.1039/C8TA10848J10.1039/C8TA10848J ↗
7. 10.1021/jacs.7b1147210.1021/jacs.7b11472 ↗
8. 10.1002/smll.20180427910.1002/smll.201804279 ↗
9. 10.1021/acsnano.7b0357610.1021/acsnano.7b03576 ↗
10. 10.1039/C9TA00801B10.1039/C9TA00801B ↗
11. 10.1038/nature1859310.1038/nature18593 ↗
12. 10.1016/j.nanoen.2018.09.01510.1016/j.nanoen.2018.09.015 ↗
13. 10.1021/acsnano.9b0257910.1021/acsnano.9b02579 ↗
14. 10.1016/j.nanoen.2019.02.05610.1016/j.nanoen.2019.02.056 ↗
15. 10.1126/sciadv.aau166510.1126/sciadv.aau1665 ↗
16. 10.1002/adfm.20180418910.1002/adfm.201804189 ↗
17. 10.1126/science.aat058610.1126/science.aat0586 ↗
18. 10.1021/jacs.8b1253010.1021/jacs.8b12530 ↗
19. 10.1016/j.ccr.2018.10.00210.1016/j.ccr.2018.10.002 ↗
20. 10.1002/anie.20181265510.1002/anie.201812655 ↗
21. 10.1002/anie.20190660610.1002/anie.201906606 ↗
22. 10.1002/anie.20190170710.1002/anie.201901707 ↗
23. 10.1039/C8TA11983J10.1039/C8TA11983J ↗
24. 10.1021/acsami.8b0257810.1021/acsami.8b02578 ↗
25. 10.1039/C8TA08013E10.1039/C8TA08013E ↗
26. 10.1002/adma.20170515510.1002/adma.201705155 ↗
27. 10.1126/science.aat412310.1126/science.aat4123 ↗
28. 10.1038/nmat450910.1038/nmat4509 ↗
29. 10.1073/pnas.060243910310.1073/pnas.0602439103 ↗
30. 10.1002/anie.20160732910.1002/anie.201607329 ↗