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Controlling solvation in conducting redox polymers for selective electrochemical separation of nitrate from wastewater

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posted on 2025-11-25, 16:47 authored by Shao-Wei Tsai, Alexandra Zagalskaya, Yurui Li, Ching-Yu Chen, Marcos Felipe Calegari Andrade, Riccardo Candeago, James F Browning, Rob HillmanRob Hillman, Roland D Cusick, Tuan Anh Pham, Xiao Su
<p dir="ltr">Selective capture of nitrate from wastewater is crucial for ensuring safe drinking water and promoting resource circularity. This study investigated alkylated polyaniline redox polymers as highly-selective electrosorbents to address this challenge. By controlling polymer solvation properties through synthetic functionalization, poly(N-methylaniline) (PNMA) achieves a nitrate uptake of up to 1.38 mmol g−1-polymer and a separation factor of 7 over chloride. Poly(N-butylaniline) (PNBA) further enhances selectivity, achieving a separation factor beyond 14 due to increased hydrophobicity. The mechanisms underlying this selectivity are investigated using ab initio molecular dynamics (AIMD) and in-situ electrochemical quartz crystal microbalance (EQCM) studies, which reveal that hydrophobicity reduces chloride binding. A technoeconomic analysis indicates that methylation on PANI reduces nitrate removal costs by 50% compared to non-functionalized PANI, due to enhanced selectivity and uptake, and decreased energy consumption. PNMA electrodes demonstrate practical nitrate selectivity over 20 versus chloride in real wastewater, while avoiding sulfate binding. This study highlights the potential of controlling solvation at electroactive polymers to enhance nitrate selectivity, offering a promising design path for redox-mediated electrochemical separations.</p>

History

Author affiliation

University of Leicester College of Science & Engineering Chemistry

Version

  • VoR (Version of Record)

Published in

Nature Communications

Volume

16

Issue

1

Publisher

Springer Science and Business Media LLC

eissn

2041-1723

Copyright date

2025

Available date

2025-11-25

Language

en

Deposited by

Professor Rob Hillman

Deposit date

2025-11-20

Data Access Statement

The data supporting the findings of the study are included in the main text and supplementary information files. Source data are provided with this paper. Raw data can be obtained upon request to the corresponding author. Source data are provided with this paper.

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