Entropy-driven graded molecular selectivity in stacking-fault-programmed crystalline metallacycle membranes

Membrane-based molecular separations are fundamentally constrained by the lack of precisely defined transport pathways, limiting high-flux fractionation of species with subtle size differences. Here, we report a class of stacking-fault-programmed crystalline coordination metallacycle (CCM) membranes featuring programmable nanoarchitectures constructed via interfacial coordination self-assembly. By rationally tuning the angular geometry of metallacyclic precursors, we fabricate two structurally distinct membranes (CCM-1 and CCM-2) possessing ordered microporous frameworks with well-defined transport channels. Both membranes exhibit simultaneously high solvent permeance and sharp molecular sieving, surpassing the conventional permeability-selectivity trade-off. Molecular simulations coupled with thermodynamic analysis reveal that the high selectivity arises from an entropy-dominated transport mechanism, governed by stacking-fault-induced misalignment of metallacycles. This misaligned stacking generates graded steric confinement, enabling precise discrimination between molecules with minimal size differences. Furthermore, we construct a cascade separation system integrating CCM-1 and CCM-2, achieving stepwise fractionation of complex ternary mixtures, including high-value pharmaceutical compounds. The CCM membrane process demonstrates significantly lower costs, carbon emissions, and energy consumption (89% reduction) compared to traditional chromatography and distillation methods. This work establishes stacking-fault programming as a powerful design principle for crystalline membranes, providing a general strategy to engineer entropy-governed transport pathways for energy-efficient and precision separations in chemical and pharmaceutical processes. Membrane based separations can be constrained by the transport pathways in a system. Here the authors design a programmed crystalline coordination metallacycle which self-assembles to form well-defined transport channels.

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Publication Details

Journal
Nature Communications
Published
2026-10-16
DOI
https://doi.org/10.1038/s41467-026-78655-x
Primary Topic
Supramolecular Chemistry and Complexes
Type
article
Field-Weighted Citation Impact
0.00

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article

Entropy-driven graded molecular selectivity in stacking-fault-programmed crystalline metallacycle membranes

Mingzhan Wang, Runhao Li, Yue Ming Sun, J. L. Wu et al.
Nature Communications
Supramolecular Chemistry and Complexes
article

Entropy-driven graded molecular selectivity in stacking-fault-programmed crystalline metallacycle membranes

Mingzhan Wang, Runhao Li, Yue Ming Sun, J. L. Wu, Yi Liu, Jinlong He, Lei Yang, Chen Zhao
article en

Abstract

Membrane-based molecular separations are fundamentally constrained by the lack of precisely defined transport pathways, limiting high-flux fractionation of species with subtle size differences. Here, we report a class of stacking-fault-programmed crystalline coordination metallacycle (CCM) membranes featuring programmable nanoarchitectures constructed via interfacial coordination self-assembly. By rationally tuning the angular geometry of metallacyclic precursors, we fabricate two structurally distinct membranes (CCM-1 and CCM-2) possessing ordered microporous frameworks with well-defined transport channels. Both membranes exhibit simultaneously high solvent permeance and sharp molecular sieving, surpassing the conventional permeability-selectivity trade-off. Molecular simulations coupled with thermodynamic analysis reveal that the high selectivity arises from an entropy-dominated transport mechanism, governed by stacking-fault-induced misalignment of metallacycles. This misaligned stacking generates graded steric confinement, enabling precise discrimination between molecules with minimal size differences. Furthermore, we construct a cascade separation system integrating CCM-1 and CCM-2, achieving stepwise fractionation of complex ternary mixtures, including high-value pharmaceutical compounds. The CCM membrane process demonstrates significantly lower costs, carbon emissions, and energy consumption (89% reduction) compared to traditional chromatography and distillation methods. This work establishes stacking-fault programming as a powerful design principle for crystalline membranes, providing a general strategy to engineer entropy-governed transport pathways for energy-efficient and precision separations in chemical and pharmaceutical processes. Membrane based separations can be constrained by the transport pathways in a system. Here the authors design a programmed crystalline coordination metallacycle which self-assembles to form well-defined transport channels.

Nature Communications
Shihezi University (CN), Minzu University of China (CN), City University of Hong Kong (HK), Tiangong University (CN), Sichuan University (CN), Rice University (US)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Natural Science Foundation of Xinjiang, Fundamental Research Funds for the Central Universities, National Supercomputing Center, Korea Institute of Science and Technology Information
Openalex Percentile: Top 25%
Supramolecular Chemistry and Complexes
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