Nanotechnology Now - Press Release: COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation

Home > Press > COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation

Covalent organic framework (COF) scaffold membranes with gate-lane nanostructure were prepared.
The gating layer affords high rejection to Mg2+ and thus high Li+/Mg2+ selectivity. The permeating layer bearing Li+ lanes and Cl− lanes facilitates Li+ transport and thus high Li+ permeability.
The COF scaffold membrane exhibits the true selectivity of 231.9 with Li+ enrichment of 120.2% at the Mg2+/Li+ mass ratio of 50, exceeding the ideal selectivity of 80.5.
Credit
Zixuan Zhang, Yan Kong, Runlai Li, Xiaolin Yue, Hao Deng, Yu Zheng, Sui Zhang*, Runnan Zhang*, Zhongyi Jiang*.

Abstract:
As the global shift to clean energy accelerates, securing a stable lithium supply becomes critical, yet conventional extraction methods struggle with the permeabilityselectivity trade-off when separating Li⁺ from chemically similar Mg2+ in salt-lake brines. Now researchers from Tianjin University, National University of Singapore and Sichuan Universityled by Prof. Zhongyi Jiang, Prof. Runnan Zhang and Prof. Sui Zhangreport a covalent-organic-framework (COF) scaffold membrane whose gate-lane architecture delivers record-high true Li⁺/Mg²⁺ selectivity together with high Li⁺ flux. The work offers a blueprint for next-generation ion-separation membranes that can harvest battery-grade lithium with unprecedented efficiency.

COF scaffold membrane with gate‑lane nanostructure for efficient Li+/Mg2+ separation

Shanghai, China | Posted on January 30th, 2026

Why Gate-Lane COF Membranes Matter

Favorable Ion-Mixing Effect: True selectivity (231.9) far exceeds ideal selectivity (80.5) at Mg2+/Li+ mass ratio 50, turning multi-ion interference into a separation booster instead of a penalty.
High Li+ Permeability: 11.5 L m-2 h-1 bar-1 water permeance with only 135 nm thickness ensures low energy consumption and compact module design.
Superior Stability: >99 % Mg2+ rejection is maintained for 7 days under 5 bar, 5000 ppm MgCl2, pH 311, demonstrating robustness for real brine processing.
Innovative Design and Features

Gate-Lane Nanostructure: A 20 nm polyurea gating layer (small pores, high positive charge) rejects Mg²⁺, while an underlying COF/PEI permeating layer forms separate Li+ and Cl⁻ nano-lanes that accelerate Li+ transport.
Charge-Asymmetric Scaffold: Positively charged COF nanosheets attract Cl⁻ to create Cl⁻ lanes; lower-charged PEI chains provide Li+ lanes, achieving spatial segregation verified by in-situ MD simulations and DFT calculations.
Tunable Architecture: Varying COF/PEI mass ratio from 0.001 to 0.1 switches the membrane from hybrid to scaffold, allowing precise control of pore size (MWCO 335 Da), surface zeta potential (+55.7 mV) and thus selectivity.
Applications and Future Outlook

Lithium Extraction from Brines: At Mg2+/Li⁺ = 50 the permeate ratio drops to Seawater & Battery Electrolyte Pretreatment: >98 % rejection of Ca2+ and Mg2+ protects downstream reverse-osmosis modules and enables high-purity electrolyte salts for Li-ion batteries.
Modular Upscaling: Vacuum-filtration fabrication is roll-to-roll compatible; 1.54 cm2 lab cross-flow results scale linearly with pressure, indicating easy path to commercial spiral-wound elements.
Challenges & Opportunities: Long-term fouling under natural brine, anti-scaling surface modification and cost-effective COF synthesis at tonne scale are next targets. Future work will also extend the gate-lane concept to other mono/divalent separations such as K⁺/Ca2+ and Na⁺/Mg2+.
This comprehensive study demonstrates that hierarchical, charge-asymmetric COF membranes can turn the ion-mixing penalty into a separation bonus, breaking the traditional permeabilityselectivity ceiling. It underscores the power of integrating precise chemistry, advanced spectroscopy and molecular simulations to design membranes for sustainable metal recovery. Stay tuned for more disruptive advances from Prof. Zhongyi Jiang, Prof. Runnan Zhang and Prof. Sui Zhang and their teams!

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