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

偏心因子 三元运算 共晶体系 热力学 二进制数 混合(物理) 材料科学 化学 计算机科学 物理 数学 冶金 量子力学 算术 程序设计语言 合金
作者
Abir Boublia,Tarek Lemaoui,Ghaiath Almustafa,Ahmad S. Darwish,Yacine Benguerba,Fawzi Banat,Inas M. AlNashef
出处
期刊:ACS omega [American Chemical Society]
卷期号:8 (14): 13177-13191 被引量:47
标识
DOI:10.1021/acsomega.3c00436
摘要

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.
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