journal article·2026-01-13

Highly Selective Lithium-Ion Separation by Regulating Ion Transport Energy Barriers of Vermiculite Membranes

Lina Zhang, Ziqing Huang, Yanzhe Chen, Fangzhou Li, Guanghe Li, Fang Zhang

ACS Nano· Volume 20· Issue 1
Publisher page

Abstract

Selective extraction of lithium from brines faces significant challenges due to the difficulty of separating Li + from competing Mg 2+ by using conventional membranes. Taking inspiration from natural mineral ion-recognition mechanisms, we developed a vermiculite-based membrane functionalized with copper-coordinated sodium alginate (Cu-SA) to regulate ion transport energy barriers and overcome limitations in selectivity. The incorporation of Cu-SA serves a dual function by reinforcing interlayer covalent networks to stabilize the membrane structure with minimal spacing fluctuation (0.55 Å) and by enhancing ion selectivity through unreacted carboxyl groups. Thermodynamic analysis revealed a higher enthalpic barrier (Δ H ) for Mg 2+ than for Li +, due to the energy required to break Mg 2+ –COOH coordination bonds. Cu 2+ cross-linking generated a denser and more ordered channel structure, increasing the spatial confinement for Mg 2+ while maintaining a more favorable entropy (Δ S ) profile for Li + transport. This design achieved a Li + permeation rate of 1.02 mol m –2 h –1 and a Li + /Mg 2+ selectivity of 34 in single-ion systems. When applied in an electrodialysis system at an external field of 0.8 V cm –1, the Li + flux increased to 1.8 mol m –2 h –1, six times higher than diffusion-driven transport. This work not only offers a practical route for lithium recovery from complex brines but also provides a general strategy for designing next-generation ion-selective membranes through thermodynamic and structural tuning.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Extraction and Separation Processes · Membrane-based Ion Separation Techniques · Advanced Battery Materials and Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Regional Environment and Sustainability, School of Environment

Tsinghua University

National Engineering Laboratory for Site Remediation Technologies

Funding

National Natural Science Foundation of China

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