Mechanochemically Synthesized Covalent Organic Framework Effectively Captures PFAS Contaminants

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants that pose significant health risks, prompting urgent efforts to develop effective removal methods and adsorbers. Covalent organic frameworks (COFs) are metal-free adsorbers with high stability and tunable porosity. A highly crystalline COF is synthesised mechanochemically using 1,3,5-tris(4-aminophenyl)benzene (TAPB) and 1,3,5-triformylbenzene (TFB). The formation dynamics are monitored in real time with time-resolved in situ synchrotron X-ray diffraction. The TAPB-TFB COF demonstrates good efficiency in eliminating PFAS from water. Perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) are effectively extracted, and most of the adsorption occurred within the first 10 min. Additionally, X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy, and DFT calculations are employed to elucidate the molecular interactions between PFAS and the COF framework. The rapid and efficient removal of PFAS makes TAPB-TFB COF a promising material for water treatment applications.

Authors

Institutions

Publication Details

Journal
Small
Published
2025-09-18
DOI
https://doi.org/10.1002/smll.202509275
Citations
3
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
2.58

Funders

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

Mechanochemically Synthesized Covalent Organic Framework Effectively Captures PFAS Contaminants

D. E. Rosenberger, Christian Heinekamp, Jan Lisec, Maroof Arshadul Hoque et al.
3 citations
Small
Per- and polyfluoroalkyl substances research
2.58
article

Mechanochemically Synthesized Covalent Organic Framework Effectively Captures PFAS Contaminants

D. E. Rosenberger, Christian Heinekamp, Jan Lisec, Maroof Arshadul Hoque, Prasenjit Das, Martin Etter, Thomas Sommerfeld, Biswajit Bhattacharya, Carsten Prinz, Tomislav Stolar, Franziska Emmerling, Janine George
article en
3 citations

Abstract

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants that pose significant health risks, prompting urgent efforts to develop effective removal methods and adsorbers. Covalent organic frameworks (COFs) are metal-free adsorbers with high stability and tunable porosity. A highly crystalline COF is synthesised mechanochemically using 1,3,5-tris(4-aminophenyl)benzene (TAPB) and 1,3,5-triformylbenzene (TFB). The formation dynamics are monitored in real time with time-resolved in situ synchrotron X-ray diffraction. The TAPB-TFB COF demonstrates good efficiency in eliminating PFAS from water. Perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS) are effectively extracted, and most of the adsorption occurred within the first 10 min. Additionally, X-ray photoelectron spectroscopy, Fourier transform infrared spectroscopy, and DFT calculations are employed to elucidate the molecular interactions between PFAS and the COF framework. The rapid and efficient removal of PFAS makes TAPB-TFB COF a promising material for water treatment applications.

SmallVol. 21(44)
Federal Institute For Materials Research and Testing (DE), Deutsches Elektronen-Synchrotron DESY (DE), Humboldt-Universität zu Berlin (DE), Technische Universität Berlin (DE), Friedrich Schiller University Jena (DE)
Deutsche Forschungsgemeinschaft, Gauss Centre for Supercomputing, Deutsches Elektronen-Synchrotron, Leibniz-Gemeinschaft, Leibniz-Rechenzentrum
Openalex Percentile: Top 10%
Per- and polyfluoroalkyl substances research
2.58
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.