Modeling Dipolar Nonprotogenic Solvents with PC-SAFT-Type Equations of State: Pure Substance Properties

IF 2.1 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Martin Klajmon*, 
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引用次数: 0

Abstract

Dipolar nonprotogenic solvents (DNSs) are interesting and important substances widely used in various applications, including organic syntheses, sustainable fuels, and organic electronics. They exhibit intriguing molecular and interactional properties, characterized by large dipole moments, strong dipole–dipole interactions, hydrogen bond (HB) acceptor ability, and the formation of dimer complexes. The latter aspect, along with the traditional view of DNSs as having a weak or negligible HB donor ability, has led to debates about the origin (dipolar vs HB) of these complexes. Therefore, modeling and predicting the thermodynamic properties of DNSs is challenging and requires sophisticated approaches. The PC-SAFT-type equations of state are powerful tools for describing the macroscopic thermodynamic properties of fluid systems, including DNSs. In this work, we explore and compare the performance of various modeling strategies within PC-SAFT for pure DNSs, including nonpolar, explicitly dipolar, and pseudo-associating approaches. These strategies differ in the treatment of the strongly dipolar character of DNSs. The PC-SAFT parameter sets for each DNS and strategy were determined de novo by fitting them to reliable reference data on the liquid density and vapor pressure. A comprehensive computational evaluation of the results for the fluid-phase thermodynamic properties of six DNSs in their pure form is provided, and the merits and drawbacks of the considered strategies are discussed. The pure-compound parameter values are also analyzed. The best results are obtained from the pseudo-association strategy, which considers DNSs to be self-associating with both HB acceptor and donor sites, followed by an explicitly dipolar approach with optimized dipole moment values. Surprisingly, a nonpolar strategy without any explicit dipolar treatment provides results comparable to those of the above models. It is also demonstrated that optimized or gas-phase dipole moments of DNSs are significantly better for use within PC-SAFT in the context of pure DNSs than those related to the liquid phase calculated quantum-mechanically using a polarizable continuum model. Possible explanations for these observations are provided.

用pc - saft型状态方程模拟偶极非原生溶剂:纯物质性质
偶极非原生溶剂是一种重要而有趣的物质,广泛应用于有机合成、可持续燃料和有机电子等领域。它们表现出有趣的分子和相互作用特性,其特点是大的偶极矩、强的偶极-偶极相互作用、氢键(HB)受体能力和二聚体复合物的形成。后一个方面,以及传统观点认为dns具有弱或可忽略的HB供体能力,导致了关于这些复合物起源(偶极与HB)的争论。因此,建模和预测dns的热力学性质是具有挑战性的,需要复杂的方法。pc - saft型状态方程是描述流体系统(包括dns)宏观热力学性质的有力工具。在这项工作中,我们探索并比较了PC-SAFT中用于纯dns的各种建模策略的性能,包括非极性、显式偶极和伪关联方法。这些策略在处理dns的强偶极特性方面有所不同。每个DNS和策略的PC-SAFT参数集通过拟合可靠的液体密度和蒸汽压参考数据重新确定。对六种纯形式的dns的液相热力学性质进行了全面的计算评价,并讨论了所考虑的策略的优缺点。并对纯复合参数值进行了分析。伪关联策略获得了最好的结果,该策略认为dns与HB受体和供体位点都是自关联的,其次是具有优化偶极矩值的明确偶极方法。令人惊讶的是,没有任何明确的偶极处理的非极性策略提供了与上述模型相当的结果。研究还表明,在PC-SAFT中,在纯DNSs的情况下,优化的或气相的dss偶极矩比使用偏振连续体模型量子力学计算的与液相相关的dss偶极矩要好得多。对这些观察提供了可能的解释。
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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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