Deep Eutectic Solvent-Mediated Engineering of Polyamide Membranes for High-Performance Loose Nanofiltration
With growing demands for the efficient separation and recovery of high-value components, loose nanofiltration (LNF) has emerged as a promising membrane technology. However, the development of LNF membranes presents ongoing challenges in achieving precise structural control through conventional water/alkane interfacial polymerization. Herein, we developed an innovative anhydrous interfacial polymerization strategy for fabricating high-performance polyamide membranes that can be tailored for LNF applications. This approach employs a deep eutectic solvent (DES) as the amine monomer solvent, interface regulator, and polymerization mediator. In contrast to water/alkane interfacial systems, the polymerization between piperazine and trimesoyl chloride at the DES/cyclohexane interface facilitates the formation of an ultrathin loose polyamide layer with precisely controlled pore architecture. The resultant membrane exhibits a high water permeance of 48 L m–2 h–1 bar–1 and exceptional molecular sieving capability, including unprecedented dye desalination efficiency (NaCl/Congo red selectivity of 954) and effective antibiotic desalination (NaCl/rifampicin selectivity of 72.7), surpassing state-of-the-art nanofiltration membranes. This work offers a breakthrough in both membrane technology development and interfacial polymerization methodology, enabling energy-efficient separation processes through innovative membrane design.
Authors
- Peiyi Wu (ORCID: https://orcid.org/0000-0001-7235-210X)
- Huiqing Wu (ORCID: https://orcid.org/0000-0003-4609-0323)
- Zhi Cao (ORCID: https://orcid.org/0000-0002-6638-8920)
- Yang Xu (ORCID: https://orcid.org/0000-0003-2324-1299)
Institutions
- Donghua University (CN)
Publication Details
- Journal
- Polymer science & technology.
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1021/polymscitech.5c00039
- Citations
- 1
- Primary Topic
- Membrane Separation Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.82