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 程序设计语言 算术 合金 量子力学
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
shang tian bo发布了新的文献求助10
刚刚
1秒前
1秒前
Shirley.完成签到,获得积分20
1秒前
1秒前
A137发布了新的文献求助10
1秒前
2秒前
11111111发布了新的文献求助10
2秒前
清爽寒珊的应助被无奈的香旋采纳,获得10
3秒前
华仔的应助被烂漫的谷梦采纳,获得10
3秒前
sun关注了科研通微信公众号
3秒前
Yinxb的应助被Waldinsamkeit采纳,获得20
3秒前
3秒前
李陈发布了新的文献求助10
3秒前
领导范儿的应助被非官方个姐采纳,获得10
4秒前
漂亮的虎发布了新的文献求助10
5秒前
赵雨乐完成签到 ,获得积分10
6秒前
yzy发布了新的文献求助10
6秒前
珠珠完成签到,获得积分10
7秒前
SRSR完成签到,获得积分10
7秒前
Mess完成签到,获得积分10
8秒前
8秒前
玖十二完成签到 ,获得积分10
9秒前
亭瞳完成签到,获得积分20
9秒前
Ruan完成签到,获得积分10
9秒前
当当发布了新的文献求助10
9秒前
jitanxiang完成签到,获得积分10
10秒前
酷波er的应助被even采纳,获得10
11秒前
陈诗语发布了新的文献求助10
11秒前
白空猫头鹰完成签到,获得积分10
11秒前
11秒前
152455的应助被gaterina采纳,获得10
11秒前
大力秋蝶发布了新的文献求助10
11秒前
12秒前
12秒前
月亮之上完成签到,获得积分10
13秒前
彭于晏的应助被布布采纳,获得10
13秒前
领导范儿的应助被11111111采纳,获得10
14秒前
shang tian bo发布了新的文献求助10
14秒前
Ruan发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reagents for Organic Synthesis, 14 Volume Set, 2nd Edition(本书共14册,本求助8volume-14volume共7册,独立harcover版本,非网络版本e-EROS 版,不能网络版转化PDF或提取PDF) 2000
Aspects of Post-SPE Phonology 2000
Nanocomposite Removal of Pesticides from Wastewater 1500
Practical Manual of Forensic Psychophysiology: Methodology, Execution, and Fields of Application 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre 666
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 有机化学 物理 生物化学 化学工程 内科学 复合材料 催化作用 心理学 人工智能 细胞生物学 光电子学 无机化学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 7922626
求助须知:如何正确求助?哪些是违规求助? 9418474
关于积分的说明 20931055
捐赠科研通 7518063
什么是DOI,文献DOI怎么找? 3364448
关于科研通互助平台的介绍 2501575
邀请新用户注册赠送积分活动 2395701