Alliston Spencer P, Dames Chris, Powell-Palm Matthew J
Department of Mechanical Engineering, University of California, Berkeley, CA 94720.
J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, TX 77840.
Proc Natl Acad Sci U S A. 2025 Feb 25;122(8):e2415843122. doi: 10.1073/pnas.2415843122. Epub 2025 Feb 21.
Predictive synthesis of aqueous organic solutions with desired liquid-solid phase equilibria could drive progress in industrial chemistry, cryopreservation, and beyond, but is limited by the predictive power of current solution thermodynamics models. In particular, few analytical models enable accurate liquidus and eutectic prediction based only on bulk thermodynamic properties of the pure components, requiring instead either direct measurement or costly simulation of solution properties. In this work, we demonstrate that a simple modification to the canonical ideal solution theory accounting for the entropic effects of dissimilar molecule sizes can transform its predictive power. Incorporating a Flory-style entropy of mixing term that includes both the mole and volume fractions of each component, we derive size-dependent equations for the ideal chemical potential and liquidus temperature, and use them to predict the binary phase diagrams of water and 10 organic solutes of varying sizes. We show that size-dependent prediction outperforms the ideal model in all cases, reducing average error in the predicted liquidus temperature by 59% (to 5.6 K), eutectic temperature by 45% (to 9.7 K), and eutectic composition by 43% (to 4.7 mol%), as compared to experimental data. Furthermore, by retaining the ideal assumption that the enthalpy of mixing is zero, we demonstrate that, for aqueous organic solutions, much of the deviation from ideality that is typically attributed to molecular interactions may in fact be explained by simple entropic size effects. These results suggest an underappreciated dominance of mixing entropy in these solutions, and provide a simple approach to predicting their phase equilibria.
预测具有所需液 - 固平衡的有机水溶液能够推动工业化学、低温保存等领域的发展,但受到当前溶液热力学模型预测能力的限制。特别是,很少有分析模型能够仅基于纯组分的整体热力学性质准确预测液相线和共晶点,而是需要直接测量或对溶液性质进行昂贵的模拟。在这项工作中,我们证明了对经典理想溶液理论进行简单修改,考虑不同分子大小的熵效应,可以改变其预测能力。通过纳入一个弗洛里式的混合熵项,该项同时包含各组分的摩尔分数和体积分数,我们推导出了理想化学势和液相线温度的尺寸相关方程,并用它们来预测水与10种不同大小有机溶质的二元相图。我们表明,尺寸相关预测在所有情况下都优于理想模型,与实验数据相比,预测液相线温度的平均误差降低了59%(至(5.6K)),共晶温度降低了45%(至(9.7K)),共晶组成降低了43%(至(4.7mol%))。此外,通过保留混合焓为零的理想假设,我们证明,对于有机水溶液,通常归因于分子相互作用的大部分非理想偏差实际上可能由简单的熵尺寸效应来解释。这些结果表明在这些溶液中混合熵的主导作用未得到充分认识,并提供了一种预测其相平衡的简单方法。