Rational Design of a <i>π</i> ‐Electron Rich Co‐MOF Enabling Benchmark C <sub>2</sub> H <sub>6</sub> /CH <sub>4</sub> Selectivity in Natural Gas Purification

Abstract The growing demand for energy‐efficient natural gas purification necessitates advanced porous adsorbents that enable molecular precision in separating higher hydrocarbons C 2 H 6 /C 3 H 8 from CH ₄ while maintaining methane purity. Through rational π ‐electron engineering of the framework structure, a microporous Co‐MOF is reported, constructed from pyridine carboxylic acid‐based aromatic ligands that achieve a benchmark C₂H₆/CH₄ selectivity of 83.8, ranking among the highest reported for MOF materials. The framework also demonstrates an exceptional IAST selectivity of 715.6 for C 2 H 6 /C 3 H 8 (5/5) mixtures, coupled with high uptake capacities of 65.5 cm 3 ·g⁻¹ for C₂H₆ and 65.8 cm 3 ·g⁻¹ for C₃H₈ at 298 K and 100 kPa. This remarkable separation performance stems from the strategic incorporation of π ‐electron aromatic ligands, which enhance the C‐H··· π interactions with hydrocarbon molecules. Breakthrough experiments demonstrate practical viability, achieving 99.97% methane purity in the effluent stream. Molecular simulations confirm that the selective adsorption originates from optimized C‐H··· π interactions and van der Waals forces between the framework and guest molecules, validating the rational design approach for high‐performance MOFs in industrial gas separation.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-04-14
DOI
https://doi.org/10.1002/adfm.202504251
Citations
17
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
Field-Weighted Citation Impact
9.14

Funders

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

Rational Design of a π ‐Electron Rich Co‐MOF Enabling Benchmark C 2 H 6 /CH 4 Selectivity in Natural Gas Purification

Te Wang, Shao‐Min Wang, Qing‐Yuan Yang, Ping Zhang et al.
17 citations
Advanced Functional Materials
Metal-Organic Frameworks: Synthesis and Applications
9.14
article

Rational Design of a π ‐Electron Rich Co‐MOF Enabling Benchmark C 2 H 6 /CH 4 Selectivity in Natural Gas Purification

Te Wang, Shao‐Min Wang, Qing‐Yuan Yang, Ping Zhang, Li Xu, Yitao Li
article en
17 citations

Abstract

Abstract The growing demand for energy‐efficient natural gas purification necessitates advanced porous adsorbents that enable molecular precision in separating higher hydrocarbons C 2 H 6 /C 3 H 8 from CH ₄ while maintaining methane purity. Through rational π ‐electron engineering of the framework structure, a microporous Co‐MOF is reported, constructed from pyridine carboxylic acid‐based aromatic ligands that achieve a benchmark C₂H₆/CH₄ selectivity of 83.8, ranking among the highest reported for MOF materials. The framework also demonstrates an exceptional IAST selectivity of 715.6 for C 2 H 6 /C 3 H 8 (5/5) mixtures, coupled with high uptake capacities of 65.5 cm 3 ·g⁻¹ for C₂H₆ and 65.8 cm 3 ·g⁻¹ for C₃H₈ at 298 K and 100 kPa. This remarkable separation performance stems from the strategic incorporation of π ‐electron aromatic ligands, which enhance the C‐H··· π interactions with hydrocarbon molecules. Breakthrough experiments demonstrate practical viability, achieving 99.97% methane purity in the effluent stream. Molecular simulations confirm that the selective adsorption originates from optimized C‐H··· π interactions and van der Waals forces between the framework and guest molecules, validating the rational design approach for high‐performance MOFs in industrial gas separation.

Advanced Functional MaterialsVol. 35(37)
University of Manchester (GB), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Shaanxi Province Postdoctoral Science Foundation
Openalex Percentile: Top 2%
Metal-Organic Frameworks: Synthesis and Applications
9.14
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.