Suppr超能文献

水合阴离子:从团簇到具有准化学理论的体相溶液。

Hydrated Anions: From Clusters to Bulk Solution with Quasi-Chemical Theory.

机构信息

Department of Chemical & Biomolecular Engineering, Tulane University, New Orleans, Louisiana 70118, United States.

Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77005, United States.

出版信息

Acc Chem Res. 2022 Aug 16;55(16):2201-2212. doi: 10.1021/acs.accounts.2c00078. Epub 2022 Jul 13.

Abstract

The interactions of hydrated ions with molecular and macromolecular solution and interface partners are strong on a chemical energy scale. Here, we recount the foremost ab initio theory for the evaluation of the hydration free energies of ions, namely, quasi-chemical theory (QCT). We focus on anions, particularly halides but also the hydroxide anion, because they have been outstanding challenges for all theories. For example, this work supports understanding the high selectivity for F over Cl in fluoride-selective ion channels despite the identical charge and the size similarity of these ions. QCT is built by the identification of inner-shell clusters, separate treatment of those clusters, and then the integration of those results into the broader-scale solution environment. Recent work has focused on a close comparison with mass-spectrometric measurements of ion-hydration equilibria. We delineate how ab initio molecular dynamics (AIMD) calculations on ion-hydration clusters, elementary statistical thermodynamics, and electronic structure calculations on cluster structures sampled from the AIMD calculations obtain just the free energies extracted from the cluster experiments. That theory-experiment comparison has not been attempted before the work discussed here, but the agreement is excellent with moderate computational effort. This agreement reinforces both theory and experiment and provides a numerically accurate inner-shell contribution to QCT. The inner-shell complexes involving heavier halides display strikingly asymmetric hydration clusters. Asymmetric hydration structures can be problematic for the evaluation of the QCT outer-shell contribution with the polarizable continuum model (PCM). Nevertheless, QCT provides a favorable setting for the exploitation of PCM when the inner-shell material shields the ion from the outer solution environment. For the more asymmetrically hydrated, and thus less effectively shielded, heavier halide ions clustered with waters, the PCM is less satisfactory. We therefore investigate an inverse procedure in which the inner-shell structures are sampled from readily available AIMD calculations on the bulk solutions. This inverse procedure is a remarkable improvement; our final results are in close agreement with a standard tabulation of hydration free energies, and the final composite results are independent of the coordination number on the chemical energy scale of relevance, as they should be. Finally, a comparison of anion hydration structure in clusters and bulk solutions from AIMD simulations emphasize some differences: the asymmetries of bulk solution inner-shell structures are moderated compared with clusters but are still present, and inner hydration shells fill to slightly higher average coordination numbers in bulk solution than in clusters.

摘要

水合离子与分子和高分子溶液及界面配体的相互作用在化学能量尺度上非常强烈。在这里,我们回顾了评估离子水合自由能的最重要的从头算理论,即准化学理论(QCT)。我们专注于阴离子,特别是卤化物,但也包括氢氧化物阴离子,因为它们是所有理论的突出挑战。例如,这项工作支持了对氟离子选择性离子通道中 F 对 Cl 高选择性的理解,尽管这些离子具有相同的电荷和尺寸相似性。QCT 通过识别内壳簇、单独处理这些簇,然后将这些结果整合到更广泛的溶液环境中构建而成。最近的工作侧重于与离子水合平衡的质谱测量进行密切比较。我们描述了如何通过对离子水合簇的从头算分子动力学(AIMD)计算、基本统计热力学以及从 AIMD 计算中采样的簇结构的电子结构计算,获得仅从簇实验中提取的自由能。在讨论的工作之前,还没有尝试过这种理论-实验比较,但结果非常吻合,只需要适度的计算工作量。这种一致性既加强了理论和实验,又为 QCT 提供了数值准确的内壳贡献。涉及较重卤化物的内壳络合物显示出明显不对称的水合簇。对于用极化连续体模型(PCM)评估 QCT 外壳贡献,不对称水合结构可能是一个问题。然而,当内壳材料将离子与外溶液环境屏蔽时,QCT 为利用 PCM 提供了一个有利的环境。对于更不对称地水合的、因此屏蔽效果较差的较重卤化物离子与水形成的簇,PCM 的效果较差。因此,我们研究了一种反演过程,其中从易于获得的 bulk 溶液 AIMD 计算中采样内壳结构。这种反演过程是一个显著的改进;我们的最终结果与标准的水合自由能表密切一致,并且最终的复合结果在相关的化学能量尺度上与配位数无关,正如它们应该的那样。最后,对 AIMD 模拟中簇和 bulk 溶液中阴离子水合结构的比较强调了一些差异:与簇相比,bulk 溶液的内壳结构的不对称性有所缓和,但仍然存在,并且内水合壳在 bulk 溶液中的平均配位数略高于簇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4db/9386901/acd06f126d58/ar2c00078_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验