非随机双液模型
化学
薄荷醇
三元运算
色谱法
萃取(化学)
水溶液
共晶体系
COSMO-RS公司
愈创木酚
丁香酚
深共晶溶剂
苯酚
癸酸
有机化学
活度系数
离子液体
合金
计算机科学
程序设计语言
催化作用
作者
Pierre-Alann Cablé,Yann Le Brech,Fabrice Mutelet
标识
DOI:10.1016/j.molliq.2022.120266
摘要
This work evaluates the efficiency of extracting phenolic compounds (phenol, guaiacol, eugenol and pyrocatechol) from aqueous solution using Hydrophobic Deep Eutectic Solvents (HDESs). Four solvents were selected by screening HDESs database using the predictive model COSMO-RS (Conductor like Screening Model for Real Solvent): menthol: dodecanoic acid [2:1], decanoic acid: dodecanoic acid [2:1], octanoic acid: menthol [2:1] and thymol: menthol [1:1]. Experimental liquid–liquid equilibria of ternary systems {water – HDESs – phenolic compounds} measured at 298.15 K under atmospheric pressure were used to determine the distribution coefficient and selectivity values. Experimental data were used to determine the interaction parameters of the thermodynamic Non-Random Two-Liquid model (NRTL). NRTL model represents with good accuracy experimental data. COSMO-RS model predicts well the ternary systems containing phenolic compounds except those containing pyrocatechol. Finally, extraction of the four phenolic compounds from synthetic oil and kinetics study were performed. The extraction process using HDES: octanoic acid: menthol [2:1] exhibits the highest efficiency and more than 85 % of phenolic compounds are extracted after 5 min.
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