水、甲基丙烯酸和正烷基乙酸酯三元体系液-液平衡的测量和热力学分析

IF 2.1 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Mai Han, Zhenhai Bo, Mingjing Wu, Siying Tan and Meng Zheng*, 
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引用次数: 0

摘要

随着人们对生物质衍生燃料的兴趣日益浓厚,甲基丙烯酸(MAA)工业合成对环境的影响──特别是其废水的产生──需要有效的水相分离策略来优化工艺和生态可持续性。本研究在标准条件下系统表征了水- maa -酯溶剂三元体系的液-液平衡。使用非随机双液体(NRTL)和通用准化学(UNIQUAC)模型(均产生1%的均方根偏差(RMSD%))的热力学相关性证明了对MAA回收率的卓越预测准确性,乙酸丁酯具有最佳的分离性能。LLE数据的严格统计验证和二元相互作用参数的独立验证保证了模型预测的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Measurement and Thermodynamic Analysis of Liquid–Liquid Equilibrium for Ternary Systems of Water, Methacrylic Acid, and n-Alkyl Acetates

Measurement and Thermodynamic Analysis of Liquid–Liquid Equilibrium for Ternary Systems of Water, Methacrylic Acid, and n-Alkyl Acetates

Amid growing interest in biomass-derived fuels, the environmental impact of methacrylic acid (MAA) industrial synthesis─particularly its wastewater generation─has necessitated efficient aqueous phase separation strategies for process optimization and ecological sustainability. This study systematically characterized the liquid–liquid equilibrium (LLE) of water-MAA-ester solvent ternary systems under standard conditions. Thermodynamic correlations using nonrandom two-liquid (NRTL) and UNiversal QUAsi Chemical (UNIQUAC) models (both yielding 1% root-mean-square deviation (RMSD%)) demonstrated exceptional predictive accuracy for MAA recovery, with butyl acetate exhibiting optimal separation performance. Rigorous statistical validation of LLE data and independent verification of binary interaction parameters ensured the reliability of model predictions.

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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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