Principles for Optimal Electrode Design and Operation for Desalination with Electrochemical Ion Pumping

Electrochemical ion pumping (EIP) is an emerging electrochemical separation form that eliminates solution mixing in conventional capacitive deionization and enables pseudocontinuous desalination with unidirectional ion flux. In this work, we systematically investigate electrode design and operational parameters governing the performance of EIP desalination using both experiments and modeling. We first evaluated the effect of carbon and polymer fractions on ionic and electronic transport within the cation-shuttling electrodes, demonstrating that optimal performance requires balancing ion mobility through the polymer phase and the electronic conductivity and ion storage capacity provided by the carbon phase. We then assessed the impact of electrode capacity and conductivity on EIP performance by varying the ratio of activated carbon and carbon black, showing that desalination performance is relatively stable over a wide range of capacity and is only undermined at extremely low capacity. Finally, we analyze the role of cycle time and show that EIP has similar specific energy consumption with very different cycle times as long as electrolysis is prevented. Overall, these results establish guiding principles for rational electrode design and operation to achieve optimal EIP performance.

Authors

Institutions

Publication Details

Journal
Environmental Science & Technology
Published
2026-02-23
DOI
https://doi.org/10.1021/acs.est.5c15799
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

Principles for Optimal Electrode Design and Operation for Desalination with Electrochemical Ion Pumping

Weifan Liu, Shihong Lin, Longqian Xu
Environmental Science & Technology
Membrane-based Ion Separation Techniques
article

Principles for Optimal Electrode Design and Operation for Desalination with Electrochemical Ion Pumping

Weifan Liu, Shihong Lin, Longqian Xu
article en

Abstract

Electrochemical ion pumping (EIP) is an emerging electrochemical separation form that eliminates solution mixing in conventional capacitive deionization and enables pseudocontinuous desalination with unidirectional ion flux. In this work, we systematically investigate electrode design and operational parameters governing the performance of EIP desalination using both experiments and modeling. We first evaluated the effect of carbon and polymer fractions on ionic and electronic transport within the cation-shuttling electrodes, demonstrating that optimal performance requires balancing ion mobility through the polymer phase and the electronic conductivity and ion storage capacity provided by the carbon phase. We then assessed the impact of electrode capacity and conductivity on EIP performance by varying the ratio of activated carbon and carbon black, showing that desalination performance is relatively stable over a wide range of capacity and is only undermined at extremely low capacity. Finally, we analyze the role of cycle time and show that EIP has similar specific energy consumption with very different cycle times as long as electrolysis is prevented. Overall, these results establish guiding principles for rational electrode design and operation to achieve optimal EIP performance.

Environmental Science & TechnologyVol. 60(9)
Vanderbilt University (US), Rice University (US)
Office of Naval Research
Affordable and clean energy
Openalex Percentile: Top 47%
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.