Article detail · 2022
MOF Membranes for CO2 Capture: Past, Present and Future
Journal
Carbon Capture Science &TechnologyISSN 2772-6568
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
- Year
- 2022
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Carbon Capture Science &Technology
- Catalog match (ISSN) Carbon Capture Science and Technology
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
As the society is projected to continue relying on fossil fuels for energy needs in the next decades, the increasing level of CO2 emissions due to fossil fuel use can pose bigger threats to humans and environment, considering the associated amplified greenhouse effects. Membrane technology is a promising energy-efficient pathway to tackle the growing conundrum of CO2 emissions. Among various classes of porous materials, metal-organic frameworks (MOFs) deserve much interest regarding membrane applications due to their highly versatile structures that can be tailored for different gas separation needs. Computational modeling of MOFs for membrane-based separations can provide molecular-level information that may not be accessible via experiments and help establish the theoretical foundation for the performance trends observed in gas separation experiments. This perspective focuses on the investigation of pure MOF membranes and MOF-based composite membranes for CO2 capture applications such as post-combustion (CO2/N2) and pre-combustion CO2 separation (CO2/H2), and natural gas purification (CO2/CH4), with particular emphasis given to computational studies. We highlight the key advances and future directions in the development, modeling, and testing of early MOF membranes, ionic liquid/MOF membranes, ultrathin MOF membranes, MOF-COF (covalent organic framework) membranes, MOF glass membranes, and MOF-based mixed-matrix membranes (MMMs). Finally, an outlook on the potential opportunities and challenges associated with the computational modeling of MOF-based membranes and their use for carbon capture is provided.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
137 citations
OpenAlex cited_by_count (cache / database)
6 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Combining Machine Learning and Molecular Simulations to Unlock Gas Separation Potentials of MOF Membranes and MOF/Polymer MMMs 2022
- Can MXene be the Effective Nanomaterial Family for the Membrane and Adsorption Technologies to Reach a Sustainable Green World? 2023
- Assessing CO2 separation performances of IL/ZIF-8 composites using molecular features of ILs 2025
- Assessing CO2 separation performances of IL/ZIF-8 composites using molecular features of ILs 2025
- Boosting CO2 separation in porphyrinic MOF-based mixed matrix membranes via central metal atom integration 2024
- The transformative role of machine learning in advancing MOF membranes for gas separations 2025