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Updated: Sep 18, 2025

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Published on: May 1, 2020
Predictable Self-Assembly as an Unexplored Key Factor Influencing Membrane Separation: Insights from Monophenols
Qiuyu Han1,2, Lu Yin1,2, Tingting Mi1,2
1Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
This study reveals how monophenol self-assembly, driven by π-π stacking, enhances nanofiltration (NF) separation. Understanding solute self-assembly allows for tunable, selective separation of similar molecules.
Area of Science:
- Chemical Engineering
- Separation Science
Background:
- Nanofiltration (NF) is effective for small molecule separation.
- Separating structurally similar compounds like monophenols using NF is difficult.
Purpose of the Study:
- To develop a novel NF separation strategy for monophenols.
- To establish a link between monophenol self-assembly and NF rejection behavior.
Main Methods:
- Utilized experimental and computational approaches.
- Investigated solute self-assembly, focusing on π-π stacking interactions.
- Developed and validated a predictive model for monophenol self-assembly.
Main Results:
- Monophenol self-assembly significantly impacts rejection rates in NF.
- Larger, more numerous self-assemblies lead to higher rejection.
- Monophenol structure, specifically substituents, dictates self-assembly strength and H-bonding capacity.
Conclusions:
- Solute self-assembly is a key factor in NF separation of monophenols.
- Predictable differences in self-assembly behavior can be used for selective separation.
- Solute self-assembly can be tuned to improve NF performance for similar molecules.
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