Elucidating the Competitive Adsorption of H 2 O and CO 2 in CALF-20: New Insights for Enhanced Carbon Capture Metal–Organic Frameworks
Source abstract
Abstract
In light of the pressing need for efficient carbon capture solutions, our study investigates the simultaneous adsorption of water (H 2 O) and carbon dioxide (CO 2 ) as a function of relative humidity in CALF-20, a highly scalable and stable metal–organic framework (MOF). Advanced computer simulations reveal that due to their similar interactions with the framework, H 2 O and CO 2 molecules compete for the same binding sites, occupying similar void regions within the CALF-20 pores. This competition results in distinct thermodynamic and dynamical behaviors of H 2 O and CO 2 molecules, depending on whether one or both guest species are present. Notably, the presence of CO 2 molecules forces the H 2 O molecules to form more connected hydrogen-bond networks within smaller regions, slowing water reorientation dynamics and decreasing water entropy. Conversely, the presence of water speeds up the reorientation of CO 2 molecules, decreases the CO 2 entropy, and increases the propensity for CO 2 to be adsorbed within the framework due to stronger water-mediated interactions. Due to the competition for the same void spaces, both H 2 O and CO 2 molecules exhibit slower diffusion when molecules of the other guest species are present. These findings offer valuable strategies and insights into enhancing the differential affinity of H 2 O and CO 2 for MOFs specifically designed for carbon capture applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Phase Equilibria and Thermodynamics · Carbon Dioxide Capture Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States
Materials Science and Engineering, University of California San Diego, La Jolla, California 92093, United States
Halicioğlu Data Science Institute, University of California San Diego, La Jolla, California 92093, United States
San Diego Supercomputer Center, University of California San Diego, La Jolla, California 92093, United States
Funding
U.S. Department of Energy
References (73)
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