Turing-type nanochannel membranes with extrinsic ion transport pathways for high-efficiency osmotic energy harvesting

Two-dimensional (2D) nanofluidic channels with confined transport pathways and abundant surface functional groups have been extensively investigated to achieve osmotic energy harvesting. However, solely relying on intrinsic interlayer channels results in insufficient permeability, thereby limiting the output power densities, which poses a significant challenge to the widespread application of these materials. Herein, we present a nanoconfined sacrificial template (NST) strategy to create a crafted channel structure, termed as Turing-type nanochannels, within the membrane. Extrinsic interlaced channels are formed between the lamellae using copper hydroxide nanowires as sacrificial templates. These Turing-type nanochannels significantly increase transport pathways and functional areas, resulting in a 23% enhancement in ionic current while maintaining a cation selectivity of 0.91. The output power density of the Turing-type nanochannel membrane increases from 3.9 to 5.9 W m<sup>-2</sup> and remains stable for at least 120 hours. This membrane exhibits enhanced applicability in real saltwater environments across China, achieving output power densities of 7.7 W m<sup>-2</sup> in natural seawater and 9.8 W m<sup>-2</sup> in salt-lake brine. This work demonstrates the promising potential of the Turing-channel design for nanoconfined ionic transport in the energy conversion field.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2024-11-26
DOI
https://doi.org/10.1038/s41467-024-54622-2
Citations
31
Primary Topic
Nanopore and Nanochannel Transport Studies
Type
article
Field-Weighted Citation Impact
5.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Turing-type nanochannel membranes with extrinsic ion transport pathways for high-efficiency osmotic energy harvesting

Congcong Zhu, Haoyang Ling, Zhehua Zhang, Qingchen Wang et al.
31 citations
Nature Communications
Nanopore and Nanochannel Transport Studies
5.72
article

Turing-type nanochannel membranes with extrinsic ion transport pathways for high-efficiency osmotic energy harvesting

Congcong Zhu, Haoyang Ling, Zhehua Zhang, Qingchen Wang, Weiwen Xin, Ke Li, Xiang‐Yu Kong, Lei Jiang, Liping Wen, Dehua Huang, Yuge Wu, Kehan Zou
article en
31 citations

Abstract

Two-dimensional (2D) nanofluidic channels with confined transport pathways and abundant surface functional groups have been extensively investigated to achieve osmotic energy harvesting. However, solely relying on intrinsic interlayer channels results in insufficient permeability, thereby limiting the output power densities, which poses a significant challenge to the widespread application of these materials. Herein, we present a nanoconfined sacrificial template (NST) strategy to create a crafted channel structure, termed as Turing-type nanochannels, within the membrane. Extrinsic interlaced channels are formed between the lamellae using copper hydroxide nanowires as sacrificial templates. These Turing-type nanochannels significantly increase transport pathways and functional areas, resulting in a 23% enhancement in ionic current while maintaining a cation selectivity of 0.91. The output power density of the Turing-type nanochannel membrane increases from 3.9 to 5.9 W m<sup>-2</sup> and remains stable for at least 120 hours. This membrane exhibits enhanced applicability in real saltwater environments across China, achieving output power densities of 7.7 W m<sup>-2</sup> in natural seawater and 9.8 W m<sup>-2</sup> in salt-lake brine. This work demonstrates the promising potential of the Turing-channel design for nanoconfined ionic transport in the energy conversion field.

Nature CommunicationsVol. 15(1)
Chinese Academy of Sciences (CN), Technical Institute of Physics and Chemistry (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 3%
Nanopore and Nanochannel Transport Studies
5.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.