Broad‐spectrum corrosion‐resistant nanofiltration membranes via reactive site‐bridged nanofibrous network

Abstract Traditional nanofiltration membranes often struggle to maintain stability in harsh environments due to issues like swelling, chemical bond dissociation, and polymer chain creep. Fluoropolymers like poly(ethylene‐chlorotrifluoroethylene) (ECTFE) are promising substrate candidates for broad‐spectrum corrosion‐resistant nanofiltration (CRNF) membranes, but their solvent insolubility and hydrophobicity present significant processing challenges. This study harnesses the electrospinnability and abundant reactive sites of polyvinyl alcohol to create a reactive site‐bridged nanofibrous network. This network provides reactive sites to decorate the hydrophobic ECTFE substrate and bridges the molecular selective layer through aldolization, Schiff base reactions, and esterification. The resulting robust thin‐film nanofibrous composite membranes exhibit high rejection rates for small molecular dyes under a variety of harsh conditions, including exposure to 10 wt% H 2 SO 4 , 1 M NaOH, ethanol, N , N ‐dimethylformamide, N ‐methylpyrrolidone, and 80°C solutions. This work paves the way for designing next‐generation broad‐spectrum CRNF membranes, enhancing their applicability in diverse harsh environments.

Authors

Institutions

Publication Details

Journal
AIChE Journal
Published
2024-12-18
DOI
https://doi.org/10.1002/aic.18699
Citations
2
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Broad‐spectrum corrosion‐resistant nanofiltration membranes via reactive site‐bridged nanofibrous network

Yong Bai, Chuan‐Yu Chen, Xue‐Li Cao, Lili Zhao et al.
2 citations
AIChE Journal
Membrane Separation Technologies
0.40
article

Broad‐spectrum corrosion‐resistant nanofiltration membranes via reactive site‐bridged nanofibrous network

Yong Bai, Chuan‐Yu Chen, Xue‐Li Cao, Lili Zhao, Shi‐Peng Sun, Cong Luo, Tian Tian, Chun Cui, Jiandong Xing
article en
2 citations

Abstract

Abstract Traditional nanofiltration membranes often struggle to maintain stability in harsh environments due to issues like swelling, chemical bond dissociation, and polymer chain creep. Fluoropolymers like poly(ethylene‐chlorotrifluoroethylene) (ECTFE) are promising substrate candidates for broad‐spectrum corrosion‐resistant nanofiltration (CRNF) membranes, but their solvent insolubility and hydrophobicity present significant processing challenges. This study harnesses the electrospinnability and abundant reactive sites of polyvinyl alcohol to create a reactive site‐bridged nanofibrous network. This network provides reactive sites to decorate the hydrophobic ECTFE substrate and bridges the molecular selective layer through aldolization, Schiff base reactions, and esterification. The resulting robust thin‐film nanofibrous composite membranes exhibit high rejection rates for small molecular dyes under a variety of harsh conditions, including exposure to 10 wt% H 2 SO 4 , 1 M NaOH, ethanol, N , N ‐dimethylformamide, N ‐methylpyrrolidone, and 80°C solutions. This work paves the way for designing next‐generation broad‐spectrum CRNF membranes, enhancing their applicability in diverse harsh environments.

AIChE JournalVol. 71(4)
Nanjing Tech University (CN), The Synergetic Innovation Center for Advanced Materials (CN)
National Natural Science Foundation of China, Nanjing Tech University, Jiangsu Science and Technology Department, Southwest Forestry University
Openalex Percentile: Top 37%
Membrane Separation Technologies
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.