Computational screening of amino-functionalized molecules for direct air capture of CO₂

Abstract

Direct air capture (DAC) of CO₂is a promising strategy for mitigating global carbon emissions by removing CO₂from the atmosphere. A critical factor in enhancing the efficiency of DAC is the design of functionalized materials with strong CO₂binding capabilities. This study screens a variety of amino-functionalized molecules, utilizing MP2 and density functional theory calculations, to identify promising candidates for CO₂capture under dry and humid conditions. The analysis determined the most stable configurations of CO₂and water with 15 amino-functionalized molecules. Amino acids such as arginine, 7-azaindole, 1,5,7-triazabicyclo-[4.4.0]dec-5-ene, and melamine demonstrated the strongest CO₂binding energies, ranging from −17 to −19 kJ/mol. This is the result of both Lewis acid–base interactions between the electron-deficient carbon of CO₂and a N atom and hydrogen bonding. Generally, all of the amino groups exhibited a stronger binding affinity with water, attributed to the formation of stable hydrogen bonds between an electron-rich N atom and the hydrogen atoms of water. To guide the design of porous host structures incorporating these molecules as functional groups, the study was extended to hypothetical systems where multiple functional groups can essentially “sandwich” CO₂, promoting simultaneous binding. In these scenarios, the repulsion between functional molecules emerged as a critical factor increasing the overall CO₂binding energy to ca. −30 to −40 kJ/mol. This analysis enabled the identification of optimal pore sizes for the design of functionalized frameworks to maximize the CO₂capture efficiency.

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