Mapping TpPa-1 covalent organic framework (COF) molecular interactions in mixed solvents via atomistic modeling and experimental study

被引:2
|
作者
Barnes, Anastasia M. [1 ]
Afroz, Mohammad M. [1 ]
Shin, Yun Kyung [2 ]
van Duin, Adri C. T. [1 ]
Li-Oakey, Katie D. [1 ]
机构
[1] Univ Wyoming, Dept Chem & Biomed Engn, Laramie, WY 82071 USA
[2] Penn State Univ, Dept Mech Engn, University Pk, PA 16802 USA
关键词
Mixed solvents; Force field modeling; TpPa-1 composite membrane; Organic solvent nanofiltration; Solvated dye in mixed solvents; NANOFILTRATION MEMBRANES; COMPUTATIONAL DESIGN; GRAPHENE OXIDE; FORCE-FIELD; WATER; DYNAMICS; CRYSTALLINE; SOLVATION; CHARGE; PURIFICATION;
D O I
10.1016/j.memsci.2024.122613
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Complex solvent environments continue to limit the widespread adoption of organic solvent nanofiltration (OSN) in many chemical industry applications. In this paper we employ a commercially available covalent organic framework (COF), TpPa-1, and force field models to molecularly map separation performance of TpPa-1 membrane in mixed solvents. To minimize time and length scale mismatch between atomistic modeling and experiments, solvent permeance was normalized with water in modeling and experimental results to enable direct comparison. Model outputs, such as organic solvent permeance and solute rejection rate, matched well with filtration results. Since the atomistic models assume that all mass transfer is via through-pore transport, the discrepancies between modeling and experimental results provide insights on the effect of linear polymer defects, adsorption and interstitial mass transfer on polycrystalline COF membrane performance. In sum, force field models can serve as digital twins of COF membranes to simulate separation processes while capturing the effects of COF structure, chemistry, and crystallinity on membrane performance in complex organic solvent environments. This approach will provide insight into future COF design and synthesis for persisting separation challenges.
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页数:14
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