Chloride ion-capturing La<sub>0.7</sub>Sr<sub>0.3</sub>BO<sub>3</sub> (B = Fe, Co) perovskite oxides achieving superior electrochemical desalination performance
Perovskite oxides (ABO<sub>3</sub>), with a designable crystal structure, excellent conductivity and inherent oxygen vacancies, hold great promise in addressing the sluggish kinetics and poor stability of conventional Cl<sup>-</sup> capturing electrodes used in capacitive deionization (CDI) for saline water desalination. However, Cl<sup>-</sup> storage in perovskite oxides remains largely unexplored in the CDI field. This work unprecedentedly demonstrates that Cl<sup>-</sup> intercalation can be realized for perovskite oxides. The cell parameters and formation energies of a series of ABO<sub>3</sub> perovskite oxides were precisely predicted using machine learning (ML), while promising candidates (<i>i.e.</i>, LaFeO<sub>3</sub> and LaCoO<sub>3</sub>) for CDI were screened from unknown perovskite oxides. With partial substitution of Sr<sup>2+</sup> at the A-site of LaFeO<sub>3</sub>, the La<sub>0.7</sub>Sr<sub>0.3</sub>FeO<sub>3</sub> anode displays an excellent desalination rate (6.26 mg g min<sup>-1</sup>) and superior stability (80% retention after 100-cycle desalination), comparable to state-of-the-art Cl<sup>-</sup> capturing electrodes. The superior desalination performance is attributed to the reversible redox activity of the Fe ions and the abundant oxygen vacancies. The underlying mechanism was revealed through various quasi-<i>in situ</i> characterization studies and density functional theory calculations. This work pioneers the application of perovskite oxides in CDI and realizes the accelerated discovery of high-performance perovskite oxides for desalination <i>via</i> an ML approach.
Authors
- Hao Wang (ORCID: https://orcid.org/0000-0002-4932-6840)
- Xingtao Xu (ORCID: https://orcid.org/0000-0002-2286-4307)
- Fanyue Meng (ORCID: https://orcid.org/0000-0002-8933-3981)
- Yuquan Li (ORCID: https://orcid.org/0009-0007-0024-0732)
- Likun Pan (ORCID: https://orcid.org/0000-0001-9294-1972)
- Yong Liu (ORCID: https://orcid.org/0000-0003-3045-0179)
- Xiaoyang Xuan (ORCID: https://orcid.org/0000-0003-0599-1862)
Institutions
- Qingdao University of Science and Technology (CN)
- Zhejiang Ocean University (CN)
- Taishan University (CN)
- East China Normal University (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- Materials Horizons
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5mh00603a
- Citations
- 2
- Primary Topic
- Membrane-based Ion Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Natural Science Foundation of Shanghai
- National Natural Science Foundation of China
- East China Normal University
- Natural Science Foundation of Qingdao