Aggregation Behavior of Long-Chain Piperidinium Ionic Liquids in Ethylammonium Nitrate
Caili Dai,
Mingyong Du,
Yifei Liu,
Shilu Wang,
Jianhui Zhao,
Ang Chen,
Dongxu Peng,
Mingwei Zhao
Affiliations
Caili Dai
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Mingyong Du
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Yifei Liu
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Shilu Wang
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Jianhui Zhao
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Ang Chen
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Dongxu Peng
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Mingwei Zhao
State Key Laboratory of Heavy Oil Processing, School of Petroleum Engineering, China University of Petroleum (Huadong), Qingdao 266580, Shandong, China
Micelles formed by the long-chain piperidinium ionic liquids (ILs) N-alkyl-N-methylpiperidinium bromide of general formula CnPDB (n = 12, 14, 16) in ethylammonium nitrate (EAN) were investigated through surface tension and dissipative particle dynamics (DPD) simulations. Through surface tension measurements, the critical micelle concentration (cmc), the effectiveness of surface tension reduction (Πcmc), the maximum excess surface concentration (Гmax) and the minimum area occupied per surfactant molecule (Amin) can be obtained. A series of thermodynamic parameters (DG0 m, DH0 m and DS0 m) of micellization can be calculated and the results showed that the micellization was entropy-driven. In addition, the DPD simulation was performed to simulate the whole aggregation process behavior to better reveal the micelle formation process.
