Highly-efficient separation of pyromellitic acid and trimellitic acid mixtures via forming deep eutectic solvents: Experiment and calculation

被引:0
作者
Zhang, Wanxiang [1 ]
Ji, Lixia [1 ]
Hou, Yucui [2 ]
Ren, Shuhang [1 ]
Wu, Weize [1 ]
机构
[1] Beijing Univ Chem Technol, State Key Lab Chem Resource Engn, Beijing 100029, Peoples R China
[2] Taiyuan Normal Univ, Dept Chem & Mat, Jinzhong 030619, Shanxi, Peoples R China
来源
CHINESE JOURNAL OF CHEMICAL ENGINEERING | 2024年 / 76卷
基金
中国国家自然科学基金;
关键词
Separation; Pyromellitic acid; Trimellitic acid; Deep eutectic solvent; Quantum chemistry calculation; MODEL OILS; ZWITTERIONS; OXIDATION; PHENOLS; LIGNITE;
D O I
10.1016/j.cjche.2024.09.012
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Pyromellitic acid (PMA) and trimellitic acid (TMA) are significant chemical raw materials and intermediates. They simultaneously exist in the industry processes of synthesis and are difficult to be separated. In this work, several kinds of biodegradable compounds were chosen as hydrogen bond acceptors (HBAs) to separate PMA and TMA mixtures from acetone solutions via forming deep eutectic solvent (DES). It has been found that all these compounds can separate PMA and TMA mixtures to obtain pure PMA or TMA. However, the interaction between HBAs and PMA or TMA is quite different. Choline chloride cannot extract TMA but can form a DES with PMA in acetone. Hexamethylenetetramine (HA) and L-carnitine (L-car) can form DESs with both PMA and TMA in acetone solution. But when L-car or HA is added, the extraction rate of PMA is larger than that of TMA until the extraction rate of PMA reach 100%, and pure TMA is left in the acetone solution. The selective separation mechanism was explored by infrared spectroscopy combined with quantum chemistry calculation, and the strength and site of the interaction between extractants with PMA and TMA were calculated. (c) 2024 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:42 / 48
页数:7
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