Quantum chemical screening of eutectic solvent components for insights into CO2 complexation mechanisms†
Abstract
Developing new negative emission technologies (NETs) to capture atmospheric CO2 is necessary to limit global temperature rise below 1.5 °C by 2050. The technologies, such as direct air capture (DAC), rely on sorption materials to harvest trace amounts of CO2 from ambient air. Deep eutectic solvents (DESs) and eutectic solvents (ESs), a subset of ionic liquids (ILs), are all promising new CO2 sorption materials for DAC. However, the experimental design space for different DESs/ESs/ILs is vast, with the exact CO2 complexation pathways difficult to elucidate; this creates significant limitations in rationally designing new materials with targeted CO2 sorption energetics. Herein, the CO2 complexation pathways for a structural library of different DES/ES components are computed using quantum chemical calculations (i.e., density functional theory). For the entire structure library, we report the energies of elementary CO2 binding and proton transfer reactions as these reactions are fundamental in DAC within DESs and ESs. These elementary reactions are combined to generate CO2 complexation pathways and calculate their free energies. The different elementary steps and reaction pathways demonstrate the range of CO2 complexation free energies and the significance between CO2 binding and proton transfer reactions. We also report the CO2 complexation free energies with different functional groups around the CO2 sorption site, supporting the concept of functionalization for tuning CO2 complexation thermodynamics. Additionally, our findings suggest potential descriptors, such as proton affinity or pKa, could be useful when identifying candidate species for ESs and predicting/rationalizing product distributions. Our work has implications for experimental synthesis, characterization, and performance evaluation of new DAC sorption materials.
- This article is part of the themed collection: Foundations of Molecular Modeling and Simulation - FOMMS 2024