A critical assessment of ionic liquid-based aqueous biphasic systems for biomolecules extraction and CO2 absorption

被引：1

作者：

Tan, Viggy Wee Gee ^{[1
]}

Abuhasheesh, Yazan ^{[2
]}

Tang, Doris Ying Ying ^{[2
]}

Zhang, Yongyu ^{[3
]}

Ma, Zengling ^{[4
]}

Chen, Lin ^{[5
]}

Krishnamoorthy, Rambabu ^{[2
]}

Show, Pau Loke ^{[2
]}

机构：

[1] Univ Nottingham Malaysia, Dept Chem & Environm Engn, Broga Rd, Semenyih 43500, Selangor Darul, Malaysia

[2] Khalifa Univ, Dept Chem & Petr Engn, POB 127788, Abu Dhabi, U Arab Emirates

[3] Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao, Peoples R China

[4] Wenzhou Univ, Natl & Local Joint Engn Res Ctr Ecol Treatment Tec, Wenzhou 325035, Peoples R China

[5] Zhejiang Acad Agr Sci, Inst Sericultural & Tea, Hangzhou 310021, Zhejiang, Peoples R China

来源：

CHEMICAL ENGINEERING JOURNAL ADVANCES | 2025年 / 21卷

关键词：

Ionic liquids; Bioactive compounds; Machine learning; Separation; CO2; capture; MICELLAR 2-PHASE SYSTEMS; DEEP EUTECTIC SOLVENTS; CARBON-DIOXIDE CAPTURE; CATALYTIC-ACTIVITY; BACILLUS-CEREUS; PHASE-BEHAVIOR; CANDIDA-RUGOSA; SERUM-ALBUMIN; SEPARATION; WATER;

D O I：

10.1016/j.ceja.2024.100670

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Ionic liquids (ILs) are green designer solvents that have gained research interest in industrial applications, including solvent chemistry, catalysis, and electrochemistry. Recent advances in ionic liquid-based aqueous biphasic systems (IL-ABSs) have broadened their biological applications. This review discusses the state-of-theart of its biotechnological application in biomolecules recovery and phase separation mechanism. The prospects of ILs as green solvents and their toxicity and applicability in carbon dioxide (CO2) capture are discussed. The correlation between the structures and toxicity of ILs is also provided, with a special emphasis on the synthesis of safer ILs. This review examines the significance and techniques in recovering and reusing phase-forming agents such as ILs. The incorporation of machine learning (ML) algorithms to predict the toxicity and CO2 capture properties, as well as the scaling up of IL-ABSs, is also explored.

引用

页数：15

共 185 条

[1] Screening of Ionic Liquids and Deep Eutectic Solvents for Physical CO2 Absorption by Soft-SAFT Using Key Performance Indicators [J].