Solute structure effect on polycyclic aromatics separation from fuel oil: Molecular mechanism and experimental insights DOI
Qinghua Liu, Ruisong Zhu, Fei Zhao

et al.

AIChE Journal, Journal Year: 2024, Volume and Issue: 70(11)

Published: Aug. 19, 2024

Abstract Ionic liquids (ILs) are promising solvents for separating aromatics from fuel oils. However, studies separate polycyclic with ILs rare and insufficient, the impact of solute structure on extraction performance still needs to be determined. In this work, we use 1‐ethyl‐3‐methylimidazolium bis([trifluoromethyl]sulfonyl)imide ([EMIM][NTF 2 ]) as an extractant 1‐methylnaphthalene, quinoline, benzothiophene dodecane mixtures. Liquid–liquid equilibrium experiments identified optimal operating conditions. Nine molecules, including five alkanes four aromatic hydrocarbons, were used study relationship between structure. Molecular dynamics simulation quantum chemistry calculations gave a deep insight reasonable interpretation structure‐performance at molecular level. An industrial‐scale process was proposed. The IL can easily regenerated using heptane back‐extractive solvent. A high‐purity oil content below 0.5 wt% is obtained after 8‐stage extraction.

Language: Английский

Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review DOI Creative Commons

Bilal Kazmi,

Syed Ali Ammar Taqvi,

Dagmar Juchelkov

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: 25, P. 103851 - 103851

Published: Jan. 5, 2025

Language: Английский

Citations

1

Systematic screening ionic liquid as extractant for benzene-cyclohexane separation DOI

Chuxin Qi,

Zhixiang Zhang,

Lifang Chen

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 345, P. 127168 - 127168

Published: March 23, 2024

Language: Английский

Citations

7

A critical methodological revisit on group-contribution based property prediction of ionic liquids with machine learning DOI
P.-L. Cao, Jiahui Chen, Guzhong Chen

et al.

Chemical Engineering Science, Journal Year: 2024, Volume and Issue: 298, P. 120395 - 120395

Published: June 17, 2024

Language: Английский

Citations

4

Rational design and experimental evaluation of novel amino acid-based natural deep eutectic solvents for CO2 capture DOI
Jie Cheng,

Yuxin Qiu,

Jiahui Chen

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: 361, P. 131554 - 131554

Published: Jan. 9, 2025

Language: Английский

Citations

0

Computer‐aided ionic liquids design and molecular insight for chloromethane dehydration DOI Open Access
Fei Zhao, Yongqiang Cheng, Ruisong Zhu

et al.

AIChE Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Abstract In the process of butyl rubber production, excessive water content in chloromethane has a significant impact on conversion and molecular weight distribution products. this work, computer‐aided ionic liquids design method was used for solvent dehydration process. The generate‐and‐test utilized to solve mixed‐integer nonlinear programming problem formed A multilayer perceptron trained predict surface tension liquids. Quantum chemical calculations dynamics simulations were employed test performance several designed candidate selected experimental synthesis characterization. different vapor–liquid equilibrium measured confirm feasibility, which indicates that ILs exhibit better potential compared basement solvent, 1‐Ethyl‐3‐methylimidazolium tetrafluoroborate. Anions play leading role

Language: Английский

Citations

0

Multilevel screening and mechanism analysis of ionic liquids for separating pyridine from coal pyrolysis model oil DOI
Qian Liu, Wei Meng,

Yuxin Qiu

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131856 - 131856

Published: Jan. 1, 2025

Language: Английский

Citations

0

Magnesium extraction from salt lake brines by hydrophobic eutectic solvents: Experimental and molecular insights DOI
Xinhe Zhang, Yufeng Li, Biaohua Chen

et al.

Chemical Engineering Science, Journal Year: 2025, Volume and Issue: 306, P. 121285 - 121285

Published: Jan. 29, 2025

Language: Английский

Citations

0

ChemBERTa Embeddings and Ensemble Learning for Prediction of Density and Melting Point of Deep Eutectic Solvents with Hybrid Features DOI
Ting Wu, Peng Zhan, Weiqiu Chen

et al.

Computers & Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 109065 - 109065

Published: Feb. 1, 2025

Language: Английский

Citations

0

Applications of Predictive Modeling for Various Properties of Ionic Liquids DOI
Shahram Lotfi, Shahin Ahmadi, Parvin Kumar

et al.

Challenges and advances in computational chemistry and physics, Journal Year: 2025, Volume and Issue: unknown, P. 205 - 229

Published: Jan. 1, 2025

Language: Английский

Citations

0

Message passing neural network-based contribution analysis towards CO2 solubility prediction in ionic liquids DOI

Jun Zhang,

Pan Dai,

Ao Yang

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: 364, P. 132361 - 132361

Published: March 4, 2025

Language: Английский

Citations

0