Sun Hai-Yan, Chen Zhi-Hua, Hu Bing, Tang Jun-Hao, Yang Lu, Guo Yan-Ling, Yao Yue-Xin, Feng Mei-Ling, Huang Xiao-Ying
State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian, 350002, P. R. China.
University of Chinese Academy of Sciences, Beijing, 100049, P. R. China.
Nat Commun. 2024 Oct 7;15(1):8681. doi: 10.1038/s41467-024-52920-3.
Selective separation of Cs is significant for the sustainable development of nuclear energy and environmental protection, due to its strong radioactivity and long half-life. However, selective capture of Cs from radioactive liquid waste is challenging due to strong coulomb interactions between the adsorbents and high-valency metal ions. Herein, we propose a strategy to resolve this issue and achieve specific Cs ion recognition and separation by modulating the stacking modes of layered perovskites. We demonstrate that among niobate-based perovskites, ALaNbO (A = Cs, H, K, and Li), HLaNbO shows an outstanding selectivity for Cs even in the presence of a large amount of competing M ions (M = K, Ca, Mg, Sr, Eu, and Zr) owing to its suitable void fraction and space shape, brought by the stacking mode of layers. The Cs capture mechanism is directly elucidated at molecular level by single-crystal structural analyses and density functional theory calculations. This work not only provides key insights in the design and property optimization of perovskite-type materials for radiocesium separation, but also paves the way for the development of efficient inorganic materials for radionuclides remediation.
由于铯具有强放射性和长半衰期,其选择性分离对于核能的可持续发展和环境保护具有重要意义。然而,由于吸附剂与高价金属离子之间存在强烈的库仑相互作用,从放射性废液中选择性捕获铯具有挑战性。在此,我们提出一种策略来解决这一问题,并通过调节层状钙钛矿的堆积模式实现特定的铯离子识别和分离。我们证明,在铌酸盐基钙钛矿ALaNbO(A = Cs、H、K和Li)中,HLaNbO即使在存在大量竞争性M离子(M = K、Ca、Mg、Sr、Eu和Zr)的情况下,对铯仍表现出出色的选择性,这归因于其由层堆积模式带来的合适孔隙率和空间形状。通过单晶结构分析和密度泛函理论计算,在分子水平上直接阐明了铯的捕获机制。这项工作不仅为用于放射性铯分离的钙钛矿型材料的设计和性能优化提供了关键见解,也为开发用于放射性核素修复的高效无机材料铺平了道路。