Sulfur-Bridged Polymer Electrodes for Hybrid Capacitive Deionization: Ammonium Recovery and Multipollutant Removal

Abstract Pseudocapacitive electrode-based capacitive deionization (CDI) is a competitive water purification technology, yet organic electrodes are limited by insufficient redox activity and sluggish adsorption kinetics in practical use. A novel sulfur-bridged polymer (SPTCDA) was developed as the electrode for a hybrid CDI (HCDI) system to address efficient ammonium ion (NH4+) removal and recovery from industrial wastewater. Experimental characterizations and density functional theory calculations confirm that SPTCDA’s ladder-type conjugated structure, delocalized π-electron system, and structural flexibility synergistically boost conductivity, ion diffusion, and NH4+ affinity. The SPTCDA-HCDI system achieves a high NH4+ capacity of 190.87 mg g–1 at 1.6 V, a fast deammoniation rate (>18 mg g–1 min–1), low energy consumption (<60 kJ mol–1), and 91.5% capacity retention after 100 cycles. It also enables simultaneous removal of dyes and antibiotics, with the recovered ammonium solution reusable for irrigation. This sulfur-bridged polymer design provides a scalable route for high-performance electrochemical water treatment.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2026-09-12
DOI
https://doi.org/10.1021/acs.iecr.6c02270
Primary Topic
Membrane-based Ion Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Sulfur-Bridged Polymer Electrodes for Hybrid Capacitive Deionization: Ammonium Recovery and Multipollutant Removal

Minjie Shi, Jun Yang, Xuan Zhang, Na Zhang et al.
Industrial & Engineering Chemistry Research
Membrane-based Ion Separation Techniques
article

Sulfur-Bridged Polymer Electrodes for Hybrid Capacitive Deionization: Ammonium Recovery and Multipollutant Removal

Minjie Shi, Jun Yang, Xuan Zhang, Na Zhang, Jianming Pan, Yuting Peng, Jiaxin Gao
article en

Abstract

Abstract Pseudocapacitive electrode-based capacitive deionization (CDI) is a competitive water purification technology, yet organic electrodes are limited by insufficient redox activity and sluggish adsorption kinetics in practical use. A novel sulfur-bridged polymer (SPTCDA) was developed as the electrode for a hybrid CDI (HCDI) system to address efficient ammonium ion (NH4+) removal and recovery from industrial wastewater. Experimental characterizations and density functional theory calculations confirm that SPTCDA’s ladder-type conjugated structure, delocalized π-electron system, and structural flexibility synergistically boost conductivity, ion diffusion, and NH4+ affinity. The SPTCDA-HCDI system achieves a high NH4+ capacity of 190.87 mg g–1 at 1.6 V, a fast deammoniation rate (>18 mg g–1 min–1), low energy consumption (<60 kJ mol–1), and 91.5% capacity retention after 100 cycles. It also enables simultaneous removal of dyes and antibiotics, with the recovered ammonium solution reusable for irrigation. This sulfur-bridged polymer design provides a scalable route for high-performance electrochemical water treatment.

Industrial & Engineering Chemistry Research
Jiangsu University (CN), Nanjing Agricultural University (CN), Nanjing Tech University (CN), Jiangsu University of Science and Technology (CN), Nanjing University (CN)
Science and Technology Planning Social Development Project of Zhenjiang City, Basic Research Program of Jiangsu Province
Clean water and sanitation
Openalex Percentile: Top 20%
Membrane-based Ion Separation Techniques
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.