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    固体–超临界流体二元系溶解度关联新模型的建立与验证

    Formulation and validation of a new solubility correlation model for solid-supercritical fluid binary systems

    • 摘要: 目前,已开发了多种超临界溶解度关联模型,其中大多数为半经验模型和基于状态方程的模型。本工作聚焦于基于密度的半经验模型,旨在评估其对超临界乙烷/二氧化碳(CO2)中固体溶解度的关联能力。为此,选择了17个超临界二元体系,使用的固体溶质包括正构烷烃(C24-C36)、菲、萘和三苯甲烷,相关溶解度数据均来源于文献。每个体系有1~3条等温线,共计37条等温线,通过计算这些等温线的平均误差,对Chrastil模型、del Valle-Aguilera模型、A-L模型、S-S模型、K-J模型和Tang模型等常见半经验模型进行了验证。接着,引入玻璃化模型描述临界现象,借鉴VFT(Verhulst-Fisher-Turing)方程的形式,对现有溶解度模型修正方法进行改进,开发出一种溶解度关联新模型,并对其关联性能进行验证。结果表明:上述6个半经验模型均属于Chrastil模型的不同修正类型,各自存在一定局限性,总体平均误差处于13.86%~23.28%,关联精度欠佳。与之相比,新模型实现了最低的总体平均误差,仅为6.74%,尤其在面对高溶解度溶质和体积较大的溶质时,新模型表现出极佳的关联性能。研究结论为超临界流体中固体溶解度的准确关联及相关模型的优化改进提供参考。

       

      Abstract: To data, various supercritical solubility correlation models have been developed, most of which are semi-empirical models and models based on equations of state. This work focused on density-based semi-empirical models, aiming to evaluate their correlation ability for the solubility of solids in supercritical ethane/carbon dioxide (CO2). For this purpose, 17 supercritical binary systems were selected; the solid solutes used included n-alkanes (C24-C36), phenanthrene, naphthalene, and triphenylmethane, and all relevant solubility data were obtained from the literature. Each system had 1-3 isotherms, totaling 37 isotherms. By calculating the average error of these isotherms, common semi-empirical models such as the Chrastil model, del Valle-Aguilera model, A-L model, S-S model, K-J model, and Tang model were verified. Subsequently, the vitrification model was introduced into the description of critical phenomena, and the form of the VFT equation was used for reference to improve the existing solubility model modification methods, thereby developing a new solubility correlation model. The correlation performance of this new model was also verified. The results showed that the above 6 semi-empirical models all belonged to different modified types of the Chrastil model, each with certain limitations. Their overall average errors ranged from 13.86% to 23.28%, indicating poor correlation accuracy. In contrast, the new model achieved the lowest overall average error of only 6.74%. Especially when dealing with solutes with high solubility and large molecular volume, the new model exhibited excellent correlation performance. The research conclusions provide a reference for the accurate correlation of solid solubility in supercritical fluids and the optimization and improvement of related models.

       

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