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首页> 外文期刊>The Journal of Chemical Physics >Ion aggregation in high salt solutions. V. Graph entropy analyses of ion aggregate structure and water hydrogen bonding network
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Ion aggregation in high salt solutions. V. Graph entropy analyses of ion aggregate structure and water hydrogen bonding network

机译:高盐溶液中的离子聚集。五,离子团聚体结构与水氢键网络的图熵分析

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Dissolved ions in water tend to form polydisperse ion aggregates such as ion pairs, relatively compact ion clusters, and even spatially extended ion networks with increasing salt concentration. Combining molecular dynamics simulation and graph theoretical analysis methods, we recently studied morphological structures of ion aggregates with distinctively different characteristics. They can be distinguished from each other by calculating various spectral graph theoretical properties such as eigenvalues and eigenvectors of adjacency matrices of ion aggregates and water hydrogen-bonding networks, minimum path lengths, clustering coefficients, and degree distributions. Here, we focus on percolation and graph entropic properties of ion aggregates and water hydrogen-bonding networks in high salt solutions. Ion network-forming K+ and SCN- ions at high concentrations show a percolating behavior in their aqueous solutions, but ion cluster-forming ions in NaCl solutions do not show such a transition from isolated ion aggregates to percolating ion-water mixture morphology. Despite that the ion aggregate structures are strikingly different for either cluster-or network-forming ions in high salt solutions, it is interesting that the water structures remain insensitive to the electrostatic properties, such as charge densities and polydentate properties, of dissolved ions, and morphological structures of water H-bonding networks appear to be highly robust regardless of the nature and concentration of salt. We anticipate that the present graph entropy analysis results would be of use in understanding a variety of anomalous behaviors of interfacial water around biomolecules as well as electric conductivities of high electrolyte solutions. Published by AIP Publishing.
机译:水中溶解的离子往往会形成多分散的离子聚集体,例如离子对,相对紧凑的离子簇,甚至随着盐浓度增加而在空间上扩展的离子网络。结合分子动力学模拟和图论分析方法,我们最近研究了具有明显不同特征的离子聚集体的形态结构。通过计算各种光谱图的理论特性(例如离子聚集体和水氢键网络的邻接矩阵的特征值和特征向量),最小路径长度,聚类系数和度分布,可以将它们彼此区分开。在这里,我们专注于高盐溶液中离子聚集体和水氢键网络的渗透和图熵性质。在高浓度下形成离子网络的K +和SCN-离子在其水溶液中显示出渗滤行为,但在NaCl溶液中形成离子簇的离子并未显示出从分离的离子聚集体到渗滤的离子水混合物形态的过渡。尽管在高盐溶液中无论是形成簇离子还是形成网络的离子,离子聚集体结构都显着不同,但有趣的是,水结构仍然对溶解的离子的静电性质(如电荷密度和多齿性质)不敏感,并且无论盐的性质和浓度如何,水H键网络的形态结构似乎都非常坚固。我们预计,目前的图熵分析结果将有助于理解生物分子周围的界面水的各种异常行为以及高电解质溶液的电导率。由AIP Publishing发布。

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