Effective separation of aromatic hydrocarbons by pyridine-based deep eutectic solvents
Effective separation of aromatic hydrocarbons by pyridine-based deep eutectic solvents
复制标题
吡啶基低共熔溶剂有效分离芳香烃
DOI：
10.1002/cjce.23606
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发表时间：
2019
影响因子：
2.1
通讯作者：
Liu Wei
中科院分区：
文献类型：
--
作者：
Feng Shanhua;Sun Jianjun;Ren Zhongqi;Zhou Zhiyong;Zhang Fan;Liu Wei
低共熔溶剂的许多有前途的品质使其成为分离过程中的合适溶剂。本文以N-乙基溴化吡啶和两种HBD（N-甲酰吗啉和乙酰丙酸）为原料，设计合成了吡啶基低共熔溶剂。采用液-液萃取法研究了苯+环己烷+己烯雌酚和甲苯+正庚烷+己烯雌酚两个三元体系。考察了不同HBD、萃取时间、DES与体系液体积比、芳烃初始浓度等因素对萃取效果的影响。N-甲酰吗啉的DES比乙酰丙酸的DES具有更好的分离性能。可在10分钟内获得液-液萃取平衡。DES与系统溶液的体积比设定为1：1。两种DES在低温（20°C）和低芳烃浓度体系中显示出最佳的分离性能。对于苯+环己烷体系，在20°C时，苯的分配系数为1.733，选择性为23.8。对于甲苯+正庚烷体系，甲苯的分配系数为0.853，选择性为40.7。获得了两个三元体系的联络线，并使用Othmer-Tobias关联式来检查所获得的液-液萃取实验数据的可靠性。用NRTL模型对实验液液平衡数据进行了关联，计算值与实验值相关性显著。
Many promising qualities of deep‐eutectic solvents made them suitable solvents in separation process. In this work, the pyridine‐based deep eutectic solvents were designed and synthesized withN‐ethylpyridinium bromide and two HBDs (N‐formyl morpholine and levulinic acid). Two ternary systems, benzene + cyclohexane + DES and toluene +n‐heptane + DES, were studied by the liquid‐liquid extraction. The effect of different HBDs, extraction time, volume ratio of DES to system solution, and the initial concentration of aromatic were studied. The DES withN‐formyl morpholine showed better separation performance than that with levulinic acid. The liquid‐liquid extraction equilibrium could be obtained in 10 minutes. The volume ratio of DES to system solution was set as 1:1. Both DESs showed their best separation performance at low temperatures (20°C) and low aromatic concentration system. For the benzene + cyclohexane system, the distribution coefficient of benzene was 1.733 and the selectivity was 23.8 at 20°C. For the toluene +n‐heptane system, the distribution coefficient of toluene was 0.853 and the selectivity was 40.7. Tie‐lines for two ternary systems were obtained, and the Othmer‐Tobias correlation was used to check the reliability of the obtained liquid‐liquid extraction experimental data. The experimental LLE data were correlated using the NRTL model and the calculated data correlated significantly with the experimental data.