The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Improved osmotic energy conversion in heterogeneous membrane boosted by three-dimensional hydrogel interface
Open accessAbstract
The emerging heterogeneous membranes show unprecedented superiority in harvesting the osmotic energy between ionic solutions of different salinity. However, the power densities are limited by the low interfacial transport efficiency caused by a mismatch of pore alignment and insufficient coupling between channels of different dimensions. Here we demonstrate the use of three-dimensional (3D) gel interface to achieve high-performance osmotic energy conversion through hybridizing polyelectrolyte hydrogel and aramid nanofiber membrane. The ionic diode effect of the heterogeneous membrane facilitates one-way ion diffusion, and the gel layer provides a charged 3D transport network, greatly enhancing the interfacial transport efficiency. When used for harvesting the osmotic energy from the mixing of sea and river water, the heterogeneous membrane outperforms the state-of-the-art membranes, to the best of our knowledge, with power densities of 5.06 W m−2. The diversity of the polyelectrolyte and gel makes our strategy a potentially universal approach for osmotic energy conversion.
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Cites
Membrane-based processes for sustainable power generation using water
Logan, B. E., & Elimelech, M. (2012) · Nature · doi:10.1038/nature11477 · Cited by 1,644
Giant osmotic energy conversion measured in a single transmembrane boron nitride nanotube
Siria, A., Poncharal, P., Biance, A.-L., Fulcrand, R., Blase, X., Purcell, S. T., & Bocquet, L. (2013) · Nature · doi:10.1038/nature11876 · Cited by 1,302
Single-layer MoS2 nanopores as nanopower generators
Feng, J., Graf, M., Liu, K., Ovchinnikov, D., Dumcenco, D., Heiranian, M., Nandigana, V., Aluru, N. R., Kis, A., & Radenovic, A. (2016) · Nature · doi:10.1038/nature18593 · Cited by 1,239
Principles and applications of nanofluidic transport
Sparreboom, W., van den Berg, A., & Eijkel, J. C. T. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.332 · Cited by 900
Dispersions of Aramid Nanofibers: A New Nanoscale Building Block
Yang, M., Cao, K., Sui, L., Qi, Y., Zhu, J., Waas, A., Arruda, E. M., Kieffer, J., Thouless, M. D., & Kotov, N. A. (2011) · ACS Nano · doi:10.1021/nn2014003 · Cited by 852
Zhang, Z., Yang, S., Zhang, P., Zhang, J., Chen, G., & Feng, X. (2019) · Nature Communications · doi:10.1038/s41467-019-10885-8 · Cited by 680
Self-citationNew avenues for the large-scale harvesting of blue energy
Siria, A., Bocquet, M.-L., & Bocquet, L. (2017) · Nature Reviews Chemistry · doi:10.1038/s41570-017-0091 · Cited by 640
Controllable ion transport by surface-charged graphene oxide membrane
Zhang, M., Guan, K., Ji, Y., Liu, G., Jin, W., & Xu, N. (2019) · Nature Communications · doi:10.1038/s41467-019-09286-8 · Cited by 634
High-Performance Ionic Diode Membrane for Salinity Gradient Power Generation
Gao, J., Guo, W., Feng, D., Wang, H., Zhao, D., & Jiang, L. (2014) · Journal of the American Chemical Society · doi:10.1021/ja503692z · Cited by 615
Self-citationZhang, H., Hou, J., Hu, Y., Wang, P., Ou, R., Jiang, L., Liu, J. Z., Freeman, B. D., Hill, A. J., & Wang, H. (2018) · Science Advances · doi:10.1126/sciadv.aaq0066 · Cited by 593
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Cited by
Liu, Y.-C., Yeh, L.-H., Zheng, M.-J., & Wu, K. C.-W. (2021) · Science Advances · doi:10.1126/sciadv.abe9924 · Cited by 282
Self-Powered Multifunction Ionic Skins Based on Gradient Polyelectrolyte Hydrogels
Xia, M., Pan, N., Zhang, C., Zhang, C., Fan, W., Xia, Y., Wang, Z., & Sui, K. (2022) · ACS Nano · doi:10.1021/acsnano.1c11505 · Cited by 138
Metadata
- Authors
- Zhang, Z., He, L., Zhu, C., Qian, Y., Wen, L., & Jiang, L.
- Venue
- Nature Communications
- Published
- 2020-02-13
- Volume
- 11
- Issue
- 1
- Pages
- 875-875
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3006158572
- Cited by
- 365
- References
- 42
- FWCI
- 12.90
- Type
- journal article
- Language
- en
- Open access
- gold
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