草酸在12种溶剂中固液平衡特性的探索:溶解度、模型相关性和分子模拟的研究

IF 2.1 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Ni Zhang, Jiang Gong, Hao Wang, Fengling Zheng, Hanqing Zhang, Weihan Shu, Zhoulin Hu, Jianwei Li and Chuancai Zhang*, 
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引用次数: 0

摘要

在283.15-323.15 K范围内,用重量法测定了草酸在12种溶剂(甲醇、乙醇、正丙醇、异丙醇、正丁醇、乙二醇、乙酸甲酯、乙酸乙酯、乙腈、N、N-二甲基甲酰胺、甲基丙烯酸甲酯(MMA)和去离子水)中的溶解度。结果表明,草酸在所有溶剂中的平衡溶解度均与温度呈正相关。在298.15 K时,乙二醇和乙腈在醇类和非醇类中分别表现出最大的溶解能力,而正丁醇和MMA表现出最小的溶解能力。采用修正Apelblat、λh、van 't Hoff、NRTL四种热力学模型进行数据关联,修正Apelblat模型拟合最优。分子静电势和Hirshfeld表面分析揭示了分子间相互作用能,而热力学参数(ΔmixG <;0, ΔmixH >;0, ΔmixS >;0)确定了具有吸热特性的自发、熵驱动的溶解。原子水平的分子动力学模拟通过径向分布函数分析进一步解码了溶质-溶剂亲和关系。这些发现建立了结晶优化的预测模型,并从机制上解释了溶剂系统中固液平衡的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploration of the Solid–Liquid Equilibrium Characteristics of Oxalic Acid in 12 Solvents: Investigation into Solubility, Model Correlation, and Molecular Simulation

Exploration of the Solid–Liquid Equilibrium Characteristics of Oxalic Acid in 12 Solvents: Investigation into Solubility, Model Correlation, and Molecular Simulation

The solubility of oxalic acid in 12 solvents (methanol, ethanol, n-propanol, isopropanol, n-butanol, ethylene glycol, methyl acetate, ethyl acetate, acetonitrile, N,N-dimethylformamide, methyl methacrylate(MMA), and DI water) was quantified via gravimetry across 283.15–323.15 K. Our results indicate that the equilibrium solubility of oxalic acid in all investigated solvents exhibits a positive correlation with temperature. At 298.15 K, ethylene glycol and acetonitrile demonstrated maximum dissolution capacities in alcohol and nonalcohol categories, respectively, whereas n-butanol and MMA exhibited minimal values. Four thermodynamic models (modified Apelblat, λh, van’t Hoff, NRTL) were applied for data correlation, with the modified Apelblat model achieving optimal fit. Molecular electrostatic potential and Hirshfeld surface analyses revealed intermolecular interaction energies, while thermodynamic parameters (ΔmixG < 0, ΔmixH > 0, ΔmixS > 0) confirmed spontaneous, entropy-driven dissolution with endothermic characteristics. Atomic-level molecular dynamics simulations further decoded the solute–solvent affinity through radial distribution function analysis. These findings establish predictive models for crystallization optimization and mechanistically interpret solid–liquid equilibrium variations across solvent systems.

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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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