Optimal Aqueous Biphasic Systems Design for the Recovery of Ionic Liquids
文献类型：期刊论文
| 作者 | Chen, Yuqiu1; Meng, Xianglei2; Cai, Yingjun2; Liang, Xiaodong1; Kontogeorgis, Georgios M.1 |
| 刊名 | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
 |
| 出版日期 | 2021-11-03 |
| 卷号 | 60期号:43页码:15730-15740 |
| ISSN号 | 0888-5885 |
| DOI | 10.1021/acs.iecr.1c03341 |
| 英文摘要 | Ionic liquid-based aqueous biphasic systems (IL-ABS) have attracted much attention in both academia and industries due to their superior performance in many applications. In order to better utilize these novel biphasic liquid-liquid systems for recovering hydrophilic ILs from their dilute aqueous solutions, a machine learning (ML)-based ABS design method is proposed for such a purpose in this work. In this method, an ML-based model, i.e., artificial neural network (ANN)-group contribution (GC) model, is employed to predict the phase equilibrium behaviors of IL-ABS. Based on the integration with a computer-aided design technique, the optimal IL-ABS is determined by formulating and solving an optimization-based mixed-integer non-linear programming problem, where the structure of IL-ABS is denoted as the input vector in the ANN-GC model. As a proof of the concept, results of the recovery of 1-butyl-3-methylimidazolium chloride ([C(4)mIm][Cl]) and n-butylpyridinium trifluoromethanesulfonate ([C4Py][TfO]) from aqueous solutions are presented. The ABS [C(4)mIm][Cl]-H2O-(NH)(2)SO3 (identified in this work) gives an IL recovery efficiency of 95.0 wt % and a salting-out agent input of 2.36 kg/kg IL recovery, and for the ABS [C(4)mIm][Cl]-H2O-K2CO3 (reported in the literature), they are 81.7 and 5.25, respectively. For the second case, our proposed ABS [C4Py][TfO]-H2O-KH2PO4 gives an IL recovery efficiency of 95.6 wt % and a salting-out agent input of 1.81 kg/kg IL recovery, and for the reported ABS [C4Py][TfO]-H2O(NH4)(2)SO4, they are 80.6 and 3.16, respectively. |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORK ; 2-PHASE SYSTEMS ; CO2 CAPTURE ; PHASE-SEPARATION ; REACTION MEDIA ; PREDICTION ; SOLUBILITY ; EXTRACTION ; CARBON ; SALTS |
| 资助项目 | Department of Chemical and Biochemical Engineering, Technical University of Denmark |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000715847300033 |
| 出版者 | AMER CHEMICAL SOC |
| 资助机构 | Department of Chemical and Biochemical Engineering, Technical University of Denmark |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/51173]  |
| 专题 | 中国科学院过程工程研究所 |
| 通讯作者 | Kontogeorgis, Georgios M. |
| 作者单位 | 1.Tech Univ Denmark, Dept Chem & Biochem Engn, DK-2800 Lyngby, Denmark 2.Chinese Acad Sci, Beijing Key Lab Ion Liquids Clean Proc, State Key Lab Multiphase ComplexSyst, CAS Key Lab Green Proc & Engn,Inst Proc Engn, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yuqiu,Meng, Xianglei,Cai, Yingjun,et al. Optimal Aqueous Biphasic Systems Design for the Recovery of Ionic Liquids[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,2021,60(43):15730-15740. |
| APA | Chen, Yuqiu,Meng, Xianglei,Cai, Yingjun,Liang, Xiaodong,&Kontogeorgis, Georgios M..(2021).Optimal Aqueous Biphasic Systems Design for the Recovery of Ionic Liquids.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,60(43),15730-15740. |
| MLA | Chen, Yuqiu,et al."Optimal Aqueous Biphasic Systems Design for the Recovery of Ionic Liquids".INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 60.43(2021):15730-15740. |
入库方式： OAI收割
来源：过程工程研究所
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