Choi Jun-Ho, Cho Minhaeng
Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science, Korea University, Seoul 02841, South Korea.
J Chem Phys. 2016 Nov 7;145(17):174501. doi: 10.1063/1.4966246.
Carrying out molecular dynamics simulations and graph theoretical analyses of high salt solutions, and comparing numerically calculated vibrational spectroscopic properties of water with femtosecond IR pump-probe experimental data, we have recently found that ions in high salt solutions can form two morphologically different ion aggregate structures. In the cases of NaCl solutions, Na and Cl tend to form compact cluster-like ion aggregate in high NaCl solutions. In contrast, K and SCN form spatially extended network-like ion aggregates that also exhibit a percolating network behavior. Interestingly, a variety of graph theoretical properties of ion network in high KSCN solutions were found to be very similar to those of water H-bonding network. It was shown that spatially extended ion networks in high KSCN solutions are completely intertwined with water H-bonding networks, which might be the key to understand the high solubility of thiocyanate salts in water. Here, we further consider two salts that have been extensively studied experimentally by using femtosecond IR pump-probe technique, which are NaClO and NaBF. Note that ClO and BF are well-known chaotropic ions that have been believed to behave as water structure breaker. To understand how such chaotropic ions affect water H-bonding structure, we carried out spectral graph analyses of molecular dynamics simulation data of these aqueous solutions. Graph spectra and degree distribution of ion aggregates formed in high NaBF and NaClO solutions show that these chaotropic anions also have a strong propensity to form ion networks. The fact that salts containing chaotropic ions like SCN, BF, and ClO have very high solubility limits in water could then be related to our observation that these chaotropic anions with counter cations in high salt solutions are capable of forming intricate ion networks intertwined with water H-bonding networks. We anticipate that the present graph theoretical analysis method would be of use in further studying both various anomalous behaviors of interfacial water and fundamental physical chemistry of mixing and salt solubility in water.
通过对高盐溶液进行分子动力学模拟和图论分析,并将数值计算得到的水的振动光谱特性与飞秒红外泵浦 - 探测实验数据进行比较,我们最近发现高盐溶液中的离子可以形成两种形态不同的离子聚集体结构。在氯化钠溶液的情况下,钠和氯在高浓度氯化钠溶液中倾向于形成紧密的簇状离子聚集体。相比之下,钾和硫氰根形成空间扩展的网络状离子聚集体,其还表现出渗流网络行为。有趣的是,发现高浓度硫氰酸钾溶液中离子网络的各种图论性质与水的氢键网络非常相似。结果表明,高浓度硫氰酸钾溶液中空间扩展的离子网络与水的氢键网络完全交织在一起,这可能是理解硫氰酸盐在水中高溶解度的关键。在此,我们进一步考虑两种已通过飞秒红外泵浦 - 探测技术进行广泛实验研究的盐,即次氯酸钠和硼酸钠。请注意,次氯酸根和硼酸根是众所周知的离液序列高的离子,一直被认为是水结构破坏剂。为了理解这种离液序列高的离子如何影响水的氢键结构,我们对这些水溶液的分子动力学模拟数据进行了光谱图分析。在高浓度硼酸钠和次氯酸钠溶液中形成的离子聚集体的图谱和度分布表明,这些离液序列高的阴离子也有很强的形成离子网络的倾向。那么,含有如硫氰根、硼酸根和次氯酸根等离子的盐在水中具有非常高的溶解度极限这一事实,可能与我们的观察结果有关,即在高盐溶液中这些离液序列高的阴离子与抗衡阳离子能够形成与水的氢键网络交织在一起的复杂离子网络。我们预计,目前的图论分析方法将有助于进一步研究界面水的各种异常行为以及水混合和盐溶解的基础物理化学。