当前位置: X-MOL 学术J. Chem. Eng. Data › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Experimental and Modeling Study for the Salting-Out Extraction of Acetic Acid from Aqueous Solutions with Kerosene
Journal of Chemical & Engineering Data ( IF 2.0 ) Pub Date : 2022-08-10 , DOI: 10.1021/acs.jced.2c00320
Farnaz Jafari 1 , Javad Saien 1
Affiliation  

The outstanding salting-out effect on the liquid–liquid equilibrium of water + acetic acid + kerosene was studied at a temperature of T = 298.2 K and under the ambient pressure of p = 81.5 kPa. The importance of this study relates to the kerosene availability around the world and that water sources are salty in most cases. The results revealed that the recovery of acetic acid from aqueous solutions was considerably boosted with 0.005 and 0.010 mass fractions of NaCl, Na2SO4, and MgSO4. The separation factors with the maximum enhancements of 81.62, 158.43, and 287.74%, respectively, were achieved with the salts under the used higher concentration. Consistent with the Hofmeister series, the salting-out effect appeared in the order of MgSO4 > Na2SO4 > NaCl. Meanwhile, the validity of the experimental data was confirmed based on the Eisen–Joffe equation. By considering a surrogate mixture for kerosene, composed of 80 wt % n-decane and 20 wt % 1,2,4-trimethylbenzene, the thermodynamic models of NRTL and UNIQUAC were used to correlate the data. Excellent agreements between the experimental and predicted values were found with very low maximum root mean square deviations of 0.0062 and 0.0068 for the models, respectively.

中文翻译:

煤油盐析萃取水溶液中乙酸的实验与建模研究

在温度T = 298.2 K 和环境压力p = 81.5 kPa下研究了对水 + 乙酸 + 煤油液-液平衡的突出盐析效应。这项研究的重要性与世界各地的煤油可用性有关,而且水源在大多数情况下都是咸的。结果表明,0.005 和 0.010 质量分数的 NaCl、Na 2 SO 4和 MgSO 4显着提高了水溶液中乙酸的回收率. 在使用较高浓度的盐时,分离因子的最大增强分别为 81.62、158.43 和 287.74%。与Hofmeister系列一致,盐析效应的出现顺序为MgSO 4 > Na 2 SO 4 > NaCl。同时,基于 Eisen-Joffe 方程证实了实验数据的有效性。通过考虑由 80 wt% n组成的煤油替代混合物-癸烷和 20 wt% 1,2,4-三甲基苯,NRTL 和 UNIQUAC 的热力学模型用于关联数据。模型的最大均方根偏差非常低,分别为 0.0062 和 0.0068,实验值和预测值之间的一致性非常好。
更新日期:2022-08-10
down
wechat
bug