Engineered Metal–Organic Cages Drive Ultra‐Selective CO <sub>2</sub> Separation from Air

The urgent challenge of rising atmospheric CO<sub>2</sub> necessitates efficient capture technologies like membrane separation. Although membrane-based direct air capture (m-DAC) is a feasible and efficient approach for low-concentration CO<sub>2</sub>, it still presents a considerable challenge. Herein, we propose a "cage engineering" strategy to achieve efficient direct separation of CO<sub>2</sub> from air, utilizing perfluoro-functionalized zirconium-based metal-organic cages (MOCs) as fillers for mixed-matrix membranes (MMM). It is found that introducing MOCs into polymer matrices can significantly densify the polymer network via forming abundant intermolecular interactions, hence enhancing membrane selectivity and promoting the process of concentrating CO<sub>2</sub>. Simultaneously, the fluorine sites on the MOCs, which have a high affinity with CO<sub>2</sub>, promote the transport of CO<sub>2</sub> by increasing the solubility coefficient. The perfluorinated MOC-based MMM achieves efficient m-DAC and exhibits a CO<sub>2</sub> permeability of 871.7 Barrer, along with an outstanding CO<sub>2</sub>/N<sub>2</sub> selectivity of 69.44. Furthermore, a multi-stage membrane separation process is simulated to estimate the energy requirements of m-DAC and evaluate the potential for practical applications of this membrane. This study achieves efficient low-concentration CO<sub>2</sub> separation by introducing perfluorinated MOCs into polymers, providing a new idea for the development of high-performance membrane materials suitable for m-DAC processes.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-12-01
DOI
https://doi.org/10.1002/anie.202523514
Primary Topic
Membrane Separation and Gas Transport
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineered Metal–Organic Cages Drive Ultra‐Selective CO 2 Separation from Air

Ye Yuan, Zhihua Qiao, Zhengqing Zhang, Yi Yang et al.
Angewandte Chemie International Edition
Membrane Separation and Gas Transport
article

Engineered Metal–Organic Cages Drive Ultra‐Selective CO 2 Separation from Air

Ye Yuan, Zhihua Qiao, Zhengqing Zhang, Yi Yang, Zhibin Wang, Zhenjie Zhang, Jinjin Liu, Yuxiu Sun
article en

Abstract

The urgent challenge of rising atmospheric CO<sub>2</sub> necessitates efficient capture technologies like membrane separation. Although membrane-based direct air capture (m-DAC) is a feasible and efficient approach for low-concentration CO<sub>2</sub>, it still presents a considerable challenge. Herein, we propose a "cage engineering" strategy to achieve efficient direct separation of CO<sub>2</sub> from air, utilizing perfluoro-functionalized zirconium-based metal-organic cages (MOCs) as fillers for mixed-matrix membranes (MMM). It is found that introducing MOCs into polymer matrices can significantly densify the polymer network via forming abundant intermolecular interactions, hence enhancing membrane selectivity and promoting the process of concentrating CO<sub>2</sub>. Simultaneously, the fluorine sites on the MOCs, which have a high affinity with CO<sub>2</sub>, promote the transport of CO<sub>2</sub> by increasing the solubility coefficient. The perfluorinated MOC-based MMM achieves efficient m-DAC and exhibits a CO<sub>2</sub> permeability of 871.7 Barrer, along with an outstanding CO<sub>2</sub>/N<sub>2</sub> selectivity of 69.44. Furthermore, a multi-stage membrane separation process is simulated to estimate the energy requirements of m-DAC and evaluate the potential for practical applications of this membrane. This study achieves efficient low-concentration CO<sub>2</sub> separation by introducing perfluorinated MOCs into polymers, providing a new idea for the development of high-performance membrane materials suitable for m-DAC processes.

Angewandte Chemie International EditionVol. 65(4)
Tianjin University (CN), Tiangong University (CN), Nankai University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 61%
Membrane Separation and Gas Transport
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.