热响应型LCST离子液体的建模和行为分析。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Hussen O Mohammed, Abel de Cozar, Ronen Zangi
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引用次数: 0

摘要

通过正向渗透淡化海水是一种有可能解决全球水资源短缺问题的技术。限制其广泛实际应用的主要挑战是抽吸溶质的设计,这种抽吸溶质可以通过高效的工艺从水中分离出来,然后在下一个循环中重复使用。最近的实验表明,正向渗透脱盐的一个很有前途的吸收溶质是四丁基磷酸2,4,6-三甲基苯磺酸盐([P4444][TMBS])。当与水混合时,这种离子液体(IL)具有热响应性,并表现出较低的临界溶液温度(LCST),在此温度以上,它分相为富IL相和富水相。阐明液液相分离的物理机理,合理设计优化衍生物,需要一个准确的模型来描述这一过程和相关的液相分离。本文采用显式溶剂全原子分子动力学模拟方法,对部分电荷由RESP拟合得到的阳离子采用基于amber的力场参数。利用同样的方法,我们将阴离子参数化。模拟结果表明,在实验临界组成下,只有当离子的部分电荷按比例减小时,IL/水混合物才能明确地相分离。然而,我们发现表现最好的电荷比例因子为0.95,这个值比纯相的电荷比例因子要温和得多。这可以解释为当IL与水混合时,离子内的电荷转移或诱导偶极子减少。通过这种电荷缩放,模拟可以很好地再现LCST成分-温度相图,尽管将临界温度高估了10 K。特别是,两个分离相的组成得到了很好的一致性。黏度的估计指出,在模拟中,IL/水混合物的黏度几乎是实验报告的两倍。此外,我们分析了混合物中不同组分之间的能量变化,发现相分离的驱动力至少是焓。离子的结构分析及其与水分子的相互作用证实了水分子在调节阴离子的结构组织以及加强阳离子之间的相互作用方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Elucidating the Behavior of a Thermoresponsive LCST Ionic Liquid.

Desalination of seawater by forward osmosis is a technology potentially able to address the global water scarcity problem. The major challenge limiting its widespread practical application is the design of a draw solute that can be separated from water by an energetically efficient process and then reused for the next cycle. Recent experiments demonstrate that a promising draw solute for forward-osmosis desalination is tetrabutylphosphonium 2,4,6-trimethylbenzenesulfonate ([P4444][TMBS]). When mixed with water, this ionic liquid (IL) is thermoresponsive and exhibits a lower critical solution temperature (LCST), above which it phase-separates into an IL-rich phase and a water-rich phase. Elucidating the physical mechanism of the liquid-liquid phase separation, as well as rationally designing optimized derivatives, necessitates an accurate model to describe this and related ILs. In this paper, we resort to explicit-solvent all-atom molecular dynamics simulations and adopt AMBER-based force-field parameters for the cation whose partial charges were assigned by the RESP fitting procedure. Utilizing the same methodology, we parametrize the anion. The simulations' results indicate the IL/water mixture, at the experimental critical composition, can unambiguously phase-separate only when the partial charges of the ions are scaled down. Nevertheless, the best-performing charge scaling factor is found to be 0.95, a value much milder than those reported for ILs in neat phases. This can be explained by a diminished charge transfer, or induced dipoles, within the ions when the IL is in a mixture with water. With this charge scaling, the simulations reproduce well the LCST composition-temperature phase diagram, albeit overestimation of the critical temperature by 10 K. In particular, very good agreement is obtained for the composition of the two segregated phases. Estimation of viscosity points to IL/water mixture that is almost twice as viscous in simulations than that reported experimentally. Furthermore, we analyze changes in energy between different components in the mixture and find that the driving force for phase separation is, at least, enthalpic. Structural analyses of the ions and their interactions with water molecules corroborate the importance of the latter in mediating structural organizations of the anions, as well as in strengthening the interactions between the cations.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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