Shearing Liquid-Crystalline MXene into Lamellar Membranes with Super-Aligned Nanochannels for Ion Sieving

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Huang, L.; Wu, H.; Ding, L.; Caro, J.; Wang, H.: Shearing Liquid-Crystalline MXene into Lamellar Membranes with Super-Aligned Nanochannels for Ion Sieving. In: Angewandte Chemie International Edition (Formerly: Angewandte Chemie: International Edition in English) 63 (2024), Nr. 6, e202314638. DOI: https://doi.org/10.1002/anie.202314638

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Abstract: 
Ion-selective membranes are crucial in various chemical and physiological processes. Numerous studies have demonstrated progress in separating monovalent/multivalent ions, but efficient monovalent/monovalent ion sieving remains a great challenge due to their same valence and similar radii. Here, this work reports a two-dimensional (2D) MXene membrane with super-aligned slit-shaped nanochannels with ultrahigh monovalent ion selectivity. The MXene membrane is prepared by applying shear forces to a liquid-crystalline (LC) MXene dispersion, which is conducive to the highly-ordered stacking of the MXene nanosheets. The obtained LC MXene membrane (LCMM) exhibits ultrahigh selectivities toward Li+/Na+, Li+/K+, and Li+/Rb+ separation (≈45, ≈49, and ≈59), combined with a fast Li+ transport with a permeation rate of ≈0.35 mol m−2 h−1, outperforming the state-of-the-art membranes. Theoretical calculations indicate that in MXene nanochannels, the hydrated Li+ with a tetrahedral shape has the smallest diameter among the monovalent ions, contributing to the highest mobility. Besides, the weakest interaction is found between hydrated Li+ and MXene channels which also contributes to the ultrafast permeation of Li+ through the super-aligned MXene channels. This work demonstrates the capability of MXene membranes in monovalent ion separation, which also provides a facile and general strategy to fabricate lamellar membranes in a large scale.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Naturwissenschaftliche Fakultät

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1 image of flag of No geo information available No geo information available 3 27.27%
2 image of flag of United States United States 3 27.27%
3 image of flag of Germany Germany 2 18.18%
4 image of flag of Netherlands Netherlands 1 9.09%
5 image of flag of Korea, Republic of Korea, Republic of 1 9.09%
6 image of flag of Indonesia Indonesia 1 9.09%

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