2022
DOI: 10.3389/fchem.2022.941352
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Screening ionic liquids for developing advanced immobilization technology for CO2 separation

Abstract: Developing immobilized-ionic liquids (ILs) sorbents is important for CO2 separation, and prior theoretically screening ILs is desirable considering the huge number of ILs. In this study, the compressibility of ILs was proposed as a new and additional index for screening ILs, and the developed predictive theoretical model, i.e., electrolyte perturbed-chain statistical associating fluid theory, was used to predict the properties for a wide variety of ILs in a wide temperature and pressure range to provide system… Show more

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Cited by 3 publications
(1 citation statement)
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“…The models can be divided into two categories: COSMO-RS (COSMO for real solvents) and COSMO-SAC (COSMO segment activity coefficient) models. The former was first proposed by Klamt in 1995 and has been widely used in the prediction of phase behavior, e.g., VLE, LLE, and solid–liquid equilibrium (SLE) activity coefficients, gas solubility, Henry’s coefficient, and even separation process design for IL systems. The latter was first proposed by Lin and Sandler in 2002 to solve the strict thermodynamic consistency problem based on the framework of the COSMO-RS model and has received extensive attention among researchers in predicting the thermodynamic properties of IL systems. …”
Section: Predictive Molecular Thermodynamic Modelsmentioning
confidence: 99%
“…The models can be divided into two categories: COSMO-RS (COSMO for real solvents) and COSMO-SAC (COSMO segment activity coefficient) models. The former was first proposed by Klamt in 1995 and has been widely used in the prediction of phase behavior, e.g., VLE, LLE, and solid–liquid equilibrium (SLE) activity coefficients, gas solubility, Henry’s coefficient, and even separation process design for IL systems. The latter was first proposed by Lin and Sandler in 2002 to solve the strict thermodynamic consistency problem based on the framework of the COSMO-RS model and has received extensive attention among researchers in predicting the thermodynamic properties of IL systems. …”
Section: Predictive Molecular Thermodynamic Modelsmentioning
confidence: 99%