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.
Authors
- Mingzhan Wang (ORCID: https://orcid.org/0000-0003-1956-9769)
- Runhao Li (ORCID: https://orcid.org/0000-0003-2129-9665)
- Yue Ming Sun (ORCID: https://orcid.org/0000-0001-6081-8486)
- J. L. Wu (ORCID: https://orcid.org/0009-0001-7633-5558)
- Yi Liu (ORCID: https://orcid.org/0000-0001-7626-0026)
- Jinlong He (ORCID: https://orcid.org/0009-0006-5171-3694)
- Lei Yang
- Chen Zhao
Institutions
- Shihezi University (CN)
- Minzu University of China (CN)
- City University of Hong Kong (HK)
- Tiangong University (CN)
- Sichuan University (CN)
- Rice University (US)
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
Funders
- 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