Advanced Materials · 2025 · 26 citations · 54 references
EngineeringChemical EngineeringMaterials ScienceInorganic ChemistryMaterials ChemistryMembrane ScienceMembrane EngineeringMembrane FabricationMembrane MaterialsPolymer MembranesPolymeric MembranesWater Desalination MembranesAluminaAlumina MembranesIon TransportIon Transport MembranesNanostructured MembranesSurface Charge ModificationSurface Charge PropertiesTransport Selectivity
Abstract Effective membrane separation of Li + from Na + and Mg 2+ is crucial for lithium extraction from water yet challenging for conventional polymeric membranes. Two dimensional (2D) membranes with ordered laminar structures and tunable physicochemical properties offer distinctive ion‐sieving capabilities promising for lithium extraction. Recently, phyllosilicates are introduced as abundant and cost‐effective source materials for such membranes. However, their water instability and low inherent ion transport selectivity hinder practical applications. Herein, a new class of laminar membranes with excellent stability and tunable ion sieving is reported by incorporating inorganic alumina pillars into vermiculite interlayers. Crosslinking vermiculite flakes with alumina pillars significantly strengthens interlamellar interactions, resulting in robust water stability. Doping of Na + before the pillaring process reverses the membrane's surface charge, substantially boosting Li + separation from multivalent cations via electrostatic interactions. Lithium extraction is often complicated by the presence of co‐existing monovalent cations (e.g., Na + ) at higher concentrations. Here, by introducing excess Na + into the membrane after the pillaring process, the separation of Li + from monovalent cations is enhanced through steric effects. This work realizes both monovalent/multivalent and monovalent/monovalent selective ion sieving with the same membrane platform. A separation mechanism is proposed based on Donnan exclusion and size exclusion, providing new insights for membrane design for resource recovery applications.
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Natural Sciences, Materials Engineering, Materials Science +12