A porous molecularly woven fabric for dynamic separation of water isotopologues

Heavy water (D2O) is a crucial strategic resource, but its low natural abundance (~0.015%) makes high-purity extraction challenging. The near-identical physicochemical properties, including comparable sizes and chemical characteristics, of H2O and D2O mean traditional separation methods are energy-intensive, underscoring the demand for more efficient alternatives. Porous materials such as metal–organic frameworks and covalent organic frameworks are promising for non-thermal separation. However, the realization of dynamic co-adsorption separation, wherein isotopologue mixtures are propelled through material columns under pressure, has not been achieved despite its desirability for practical applications. Here we report a porous molecularly woven fabric with a three-dimensional weaving network for successful dynamic separation of water isotopologues H2O and D2O. It is constructed through the mortise-and-tenon stacking of two-dimensional molecularly woven layers. Its woven channels provide transport pathways, while its adaptive woven and mortise-and-tenon nodes enhance adaptive adsorption, amplifying the subtle differences between these two isotopologues during the breakthrough process. Consequently, the porous woven network enables efficient dynamic separation of H2O and D2O at 298 K through its topological features. The low natural abundance of heavy water makes high-purity extraction challenging. Here, a porous molecularly woven fabric is constructed that features adaptive pores enabling the efficient dynamic separation of water isotopologues at room temperature (298 K).

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Publication Details

Journal
Nature Synthesis
Published
2025-10-23
DOI
https://doi.org/10.1038/s44160-025-00913-5
Citations
1
Primary Topic
Nanopore and Nanochannel Transport Studies
Type
article
Field-Weighted Citation Impact
0.67

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A porous molecularly woven fabric for dynamic separation of water isotopologues

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1 citations
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Nanopore and Nanochannel Transport Studies
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article

A porous molecularly woven fabric for dynamic separation of water isotopologues

Rahul Navik, Zhewen Guo, Xiaohe Miao, Xue Yang, Yuling Pan, Siyuan Yang, Guangfeng Li, Tianyu Shan, Feihe Huang, Liya Chen, Ming Liu, Ding Xiao, D. Hu
article en
1 citations

Abstract

Heavy water (D2O) is a crucial strategic resource, but its low natural abundance (~0.015%) makes high-purity extraction challenging. The near-identical physicochemical properties, including comparable sizes and chemical characteristics, of H2O and D2O mean traditional separation methods are energy-intensive, underscoring the demand for more efficient alternatives. Porous materials such as metal–organic frameworks and covalent organic frameworks are promising for non-thermal separation. However, the realization of dynamic co-adsorption separation, wherein isotopologue mixtures are propelled through material columns under pressure, has not been achieved despite its desirability for practical applications. Here we report a porous molecularly woven fabric with a three-dimensional weaving network for successful dynamic separation of water isotopologues H2O and D2O. It is constructed through the mortise-and-tenon stacking of two-dimensional molecularly woven layers. Its woven channels provide transport pathways, while its adaptive woven and mortise-and-tenon nodes enhance adaptive adsorption, amplifying the subtle differences between these two isotopologues during the breakthrough process. Consequently, the porous woven network enables efficient dynamic separation of H2O and D2O at 298 K through its topological features. The low natural abundance of heavy water makes high-purity extraction challenging. Here, a porous molecularly woven fabric is constructed that features adaptive pores enabling the efficient dynamic separation of water isotopologues at room temperature (298 K).

Nature SynthesisVol. 5(2)
Hong Kong University of Science and Technology (HK), Westlake University (CN), Zhejiang Lab (CN), Guangzhou HKUST Fok Ying Tung Research Institute (CN), Massachusetts Institute of Technology (US), Zhejiang University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Zhejiang University, National Key Research and Development Program of China, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 25%
Nanopore and Nanochannel Transport Studies
0.67
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