Choline based deep eutectic solvent for denitrogenation of liquid fuel: A molecular dynamics study

Abstract

Deep eutectic solvents, a new genre of green solvent, easy to synthesize, low volatility and non-toxic in nature, emerged as an efficient extractant for denitrogenation. We have performed a molecular dynamics simulation study to investigate the role of glyceline as an extractant for removal of nitrogen impurities namely indole, pyrrole, pyridine, and quinoline from a model liquid fuel. ΔGtransfer was evaluated to capture the thermodynamic feasibility of the transfer of nitrogen impurities from the fuel to the glyceline phase. Negative value of ΔGtransfer was obtained for the nitrogen impurities, and the partition coefficient in the following order: indole > pyrrole > quinoline > pyridine. The simulation revealed that the chloride-ion possesses strong interaction with indole and pyrrole while glycerol favors quinoline and pyridine. The fuel phase was observed to be free from impurities while glyceline phase contained impurities, which was confirmed by the negative and positive values of ΔGtransfer and partition coefficient respectively. The self-diffusion coefficient for indole was observed to be the lowest while pyridine possesses the highest value, which was found to be in agreement with the observations from radial and spatial distribution functions. Further, this understanding at the atomic level for liquid-liquid extraction will help in developing potential solvents for denitrogenation of liquid fuel.