Critical Properties of Ternary Deep Eutectic Solvents Using Group Contribution with Extended Lee–Kesler Mixing Rules

Abstract

One of the most commonly used molecular inputs for ionic liquids and deep eutectic solvents (DESs) in the literature are the critical properties and acentric factors, which can be easily determined using the modified Lydersen–Joback–Reid (LJR) method with Lee–Kesler mixing rules. However, the method used in the literature is generally applicable only to binary mixtures of DESs. Nevertheless, ternary DESs are considered to be more interesting and may provide further tailorability for developing task-specific DESs for particular applications. Therefore, in this work, a new framework for estimating the critical properties and the acentric factor of ternary DESs based on their molecular structures is presented by adjusting the framework reported in the literature with an extended version of the Lee–Kesler mixing rules. The presented framework was applied to a data set consisting of 87 ternary DESs with 334 distinct compositions. For validation, the estimated critical properties and acentric factors were used to predict the densities of the ternary DESs. The results showed excellent agreement between the experimental and calculated data, with an average absolute relative deviation (AARD) of 5.203% for ternary DESs and 5.712% for 260 binary DESs (573 compositions). The developed methodology was incorporated into a user-friendly Excel worksheet for computing the critical properties and acentric factors of any ternary or binary DES, which is provided in the Supporting Information. This work promotes the creation of robust, accessible, and user-friendly models capable of predicting the properties of new ternary DESs based on critical properties, thus saving time and resources.

3,4-Dimethoxy phenyl thiosemicarbazone as an effective corrosion inhibitor of copper under acidic solution: comprehensive experimental, characterization and theoretical investigations

“…The visual depiction illustrates the following: regions designated as hydrogen bond acceptors (HBA) are colored red, while non-polar areas are represented by green; hydrogen bond donor sites (HBD) are represented by blue. 89–92 The σ-profile, as used in COSMO-RS analysis, represents a probability distribution of surface area vs. charge density. 93–95 Graphically depicted, the σ-profile is commonly divided into three discrete regions: (1) the HBA region, which signifies positive charge densities; (2) the non-polar region, which signifies nearly neutral charge densities; and (3) the HBD region, which represents negative charge densities.…”