Ag nanowire/lignin-derived carbon aerogels with enhanced interfacial charge transfer for efficient chloride removal in capacitive deionization

Silver-based nanomaterials have demonstrated great potential for chloride removal via capacitive deionization (CDI) due to high conductivity, tunable surface/interface properties, and excellent selectivity. Unlike silver nanoparticles, silver nanowires (Ag NWs) can more easily form 3D conductive networks. In this work, hierarchical porous Ag NWs/lignin-based carbon aerogels (Ag NWs/CAs) were fabricated using a super-fast freezing and ice-segregation-induced self-assembly method. Specifically, we utilize the strong chelating ability and abundant surface functional groups of lignin to effectively anchor and disperse Ag NWs while significantly shortening the sol-gel and aging processes during aerogel preparation. In Ag NWs/CAs, the Ag NWs form a 3D interconnected framework that establishes an efficient conductive network, substantially enhancing charge and ion transport rates. Meanwhile, the lignin-derived carbon contributes excellent conductivity and electrolyte wettability. Benefiting from these unique structural and surface advantages, the optimized Ag NWs/CA, utilized as a CDI electrode, demonstrates superior electrochemical chloride removal performances under 1.2 ​V applied voltage in a solution with initial conductivity of 1 000 ​μS ​cm −1 , achieving a Cl − adsorption capacity of 90.4 ​mg ​g −1 and an average Cl − adsorption rate of 1.5 ​mg ​g −1 min −1 . This study provides new insights into the development high-performance CDI electrodes for chloride removal.

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Publication Details

Journal
Nano Materials Science
Published
2025-11-01
DOI
https://doi.org/10.1016/j.nanoms.2025.10.005
Citations
1
Primary Topic
Membrane-based Ion Separation Techniques
Type
article
Field-Weighted Citation Impact
0.67
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article

Ag nanowire/lignin-derived carbon aerogels with enhanced interfacial charge transfer for efficient chloride removal in capacitive deionization

Youfang Zhang, Qunchao Zhang, Jun Jin, Dean Shi et al.
1 citations
Nano Materials Science
Membrane-based Ion Separation Techniques
0.67
article

Ag nanowire/lignin-derived carbon aerogels with enhanced interfacial charge transfer for efficient chloride removal in capacitive deionization

Youfang Zhang, Qunchao Zhang, Jun Jin, Dean Shi, Robert K.Y. Li, Xiang Fu, Zhaoyang Wei, Xin Li, Mengying Sun, Ke Wang
article en
1 citations

Abstract

Silver-based nanomaterials have demonstrated great potential for chloride removal via capacitive deionization (CDI) due to high conductivity, tunable surface/interface properties, and excellent selectivity. Unlike silver nanoparticles, silver nanowires (Ag NWs) can more easily form 3D conductive networks. In this work, hierarchical porous Ag NWs/lignin-based carbon aerogels (Ag NWs/CAs) were fabricated using a super-fast freezing and ice-segregation-induced self-assembly method. Specifically, we utilize the strong chelating ability and abundant surface functional groups of lignin to effectively anchor and disperse Ag NWs while significantly shortening the sol-gel and aging processes during aerogel preparation. In Ag NWs/CAs, the Ag NWs form a 3D interconnected framework that establishes an efficient conductive network, substantially enhancing charge and ion transport rates. Meanwhile, the lignin-derived carbon contributes excellent conductivity and electrolyte wettability. Benefiting from these unique structural and surface advantages, the optimized Ag NWs/CA, utilized as a CDI electrode, demonstrates superior electrochemical chloride removal performances under 1.2 ​V applied voltage in a solution with initial conductivity of 1 000 ​μS ​cm −1 , achieving a Cl − adsorption capacity of 90.4 ​mg ​g −1 and an average Cl − adsorption rate of 1.5 ​mg ​g −1 min −1 . This study provides new insights into the development high-performance CDI electrodes for chloride removal.

Nano Materials Science
Castle Peak Hospital (CN), China University of Geosciences (CN), Hubei University (CN)
Openalex Percentile: Top 24%
Membrane-based Ion Separation Techniques
0.67
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