4.6 Article

A Systematic Approach to Understanding and Optimizing the CO2 Capture Performance of Triamine-Functionalized Mesoporous Silica with Amine Blends Molecular Simulations

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JOURNAL OF PHYSICAL CHEMISTRY C
卷 127, 期 15, 页码 7410-7424

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AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcc.2c08453

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In this study, molecular dynamics and Monte Carlo simulation techniques were applied to investigate the CO2 physisorption performance and predict the chemisorption performance of blended amine chains inside the mesoporous structure of silica KIT-6. It was found that triamine chains formed complex arrangements where the middle amine groups were isolated, hindering amine-amine proton transfer. Among all tested amine blends, short primary monoamine chains achieved the highest CO2 adsorption per amine group (CO2/N ratio) of 0.479, although all amine blends exhibited higher overall CO2 uptake and CO2/N ratio than pure triamine. The results highlight the importance of studying accessibility and orientation for understanding CO2 adsorption on amines and determining the most favorable reaction pathways kinetically. The methodology proposed in this study provides a fast optimization technique for amine-functionalized silica materials in CO2 capture applications.
In this contribution, we apply molecular dynamics and Monte Carlo simulation techniques to study the CO2 physisorption performance and predict the chemisorption performance by analyzing the accessibility and orientation of blended amine chains inside the mesoporous structure of silica KIT-6. We found that triamine chains form complex arrangements where the middle amine groups are isolated, hindering amine-amine proton transfer. Among all tested amine blends, short primary monoamine chains achieve the highest number of adsorbed CO2 molecules per amine group (CO2/N ratio) of 0.479, though all amine blends have higher overall CO2 uptake and CO2/N ratio than pure triamine. Results prove that the study of accessibility and orientation is beneficial to account for the CO2 adsorption on amines and determine the kinetically favorable reaction pathways. Our methodology establishes a fast optimization technique for amine-functionalized silica materials for CO2 capture applications.

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