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Order and correlation contributions to the entropy of hydrophobic solvation

机译:有序和相关性对疏水溶剂化熵的贡献

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The entropy of hydrophobic solvation has been explained as the result of ordered solvation structures, of hydrogen bonds, of the small size of the water molecule, of dispersion forces, and of solvent density fluctuations. We report a new approach to the calculation of the entropy of hydrophobic solvation, along with tests of and comparisons to several other methods. The methods are assessed in the light of the available thermodynamic and spectroscopic information on the effects of temperature on hydrophobic solvation. Five model hydrophobes in SPC/E water give benchmark solvation entropies via Widom's test-particle insertion method, and other methods and models are tested against these particle-insertion results. Entropies associated with distributions of tetrahedral order, of electric field, and of solvent dipole orientations are examined. We find these contributions are small compared to the benchmark particle-insertion entropy. Competitive with or better than other theories in accuracy, but with no free parameters, is the new estimate of the entropy contributed by correlations between dipole moments. Dipole correlations account for most of the hydrophobic solvation entropy for all models studied and capture the distinctive temperature dependence seen in thermodynamic and spectroscopic experiments. Entropies based on pair and many-body correlations in number density approach the correct magnitudes but fail to describe temperature and size dependences, respectively. Hydrogen-bond definitions and free energies that best reproduce entropies from simulations are reported, but it is difficult to choose one hydrogen bond model that fits a variety of experiments. The use of information theory, scaled-particle theory, and related methods is discussed briefly. Our results provide a test of the Frank-Evans hypothesis that the negative solvation entropy is due to structured water near the solute, complement the spectroscopic detection of that solvation structure by identifying the structural feature responsible for the entropy change, and point to a possible explanation for the observed dependence on length scale. Our key results are that the hydrophobic effect, i. e. the signature, temperature-dependent, solvation entropy of nonpolar molecules in water, is largely due to a dispersion force arising from correlations between rotating permanent dipole moments, that the strength of this force depends on the Kirkwood g-factor, and that the strength of this force may be obtained exactly without simulation. (C) 2015 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.
机译:疏水溶剂化的熵已被解释为有序溶剂化结构,氢键,水分子尺寸小,分散力和溶剂密度波动的结果。我们报告了一种新的疏水溶剂化熵的计算方法,以及对几种其他方法的测试和比较。根据可获得的热力学和光谱学信息对温度对疏水溶剂化的影响进行评估。通过Widom的测试粒子插入方法,SPC / E水中的五个疏水模型给出了基准溶剂化熵,并且针对这些粒子插入结果测试了其他方法和模型。检查与四面体顺序,电场和溶剂偶极子方向的分布相关的熵。我们发现与基准粒子插入熵相比,这些贡献很小。在准确性方面,与其他理论竞争或优于其他理论,但没有自由参数的是偶极矩之间的相关性所贡献的熵的新估计。偶极子相关性解释了所有研究模型的大部分疏水溶剂化熵,并捕获了在热力学和光谱实验中观察到的独特的温度依赖性。基于数密度对和多体相关性的熵接近正确的大小,但不能分别描述温度和尺寸的依赖性。据报道,氢键定义和自由能最能从模拟中再现熵,但是很难选择一种适合各种实验的氢键模型。简要讨论了信息论,标尺粒子论和相关方法的使用。我们的结果提供了对Frank-Evans假设的检验,该假设为负溶剂化熵是由于溶质附近的结构化水引起的,通过确定负责熵变化的结构特征来补充该溶剂化结构的光谱检测,并指出可能的解释对于观察到的对长度尺度的依赖。我们的主要结果是疏水作用,即。 e。非极性分子在水中的特征性,随温度变化的溶剂化熵,主要是由于旋转永久偶极矩之间的相关性而产生的分散力,该力的强度取决于柯克伍德g因子,并且无需模拟即可精确获得此力。 (C)2015年作者。除另有说明外,所有文章内容均根据知识共享署名3.0未移植许可证进行许可。

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