Yan Gangbin, Wei Jialiang, Apodaca Emory, Choi Suin, Eng Peter J, Stubbs Joanne E, Han Yu, Zou Siqi, Bera Mrinal K, Wu Ronghui, Karapetrova Evguenia, Zhou Hua, Chen Wei, Liu Chong
Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.
Department of Mechanical, Materials and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL, 60616, USA.
Nat Commun. 2024 Jun 7;15(1):4859. doi: 10.1038/s41467-024-49191-3.
One-dimensional (1D) olivine iron phosphate (FePO) is widely proposed for electrochemical lithium (Li) extraction from dilute water sources, however, significant variations in Li selectivity were observed for particles with different physical attributes. Understanding how particle features influence Li and sodium (Na) co-intercalation is crucial for system design and enhancing Li selectivity. Here, we investigate a series of FePO particles with various features and revealed the importance of harnessing kinetic and chemo-mechanical barrier difference between lithiation and sodiation to promote selectivity. The thermodynamic preference of FePO provides baseline of selectivity while the particle features are critical to induce different kinetic pathways and barriers, resulting in different Li to Na selectivity from 6.2 × 10 to 2.3 × 10. Importantly, we categorize the FePO particles into two groups based on their distinctly paired phase evolutions upon lithiation and sodiation, and generate quantitative correlation maps among Li preference, morphological features, and electrochemical properties. By selecting FePO particles with specific features, we demonstrate fast (636 mA/g) Li extraction from a high Li source (1: 100 Li to Na) with (96.6 ± 0.2)% purity, and high selectivity (2.3 × 10) from a low Li source (1: 1000 Li to Na) with (95.8 ± 0.3)% purity in a single step.
一维(1D)磷酸铁橄榄石(FePO)被广泛提议用于从稀水源中进行电化学锂提取,然而,对于具有不同物理属性的颗粒,观察到锂选择性存在显著差异。了解颗粒特征如何影响锂和钠(Na)的共嵌入对于系统设计和提高锂选择性至关重要。在此,我们研究了一系列具有各种特征的FePO颗粒,并揭示了利用锂化和钠化之间的动力学和化学机械势垒差异来提高选择性的重要性。FePO的热力学偏好提供了选择性的基线,而颗粒特征对于诱导不同的动力学途径和势垒至关重要,从而导致锂对钠的选择性从6.2×10到2.3×10不等。重要的是,我们根据锂化和钠化时明显配对的相演变将FePO颗粒分为两组,并生成锂偏好、形态特征和电化学性质之间的定量相关图。通过选择具有特定特征的FePO颗粒,我们展示了从高锂源(锂与钠的比例为1:100)中快速(636 mA/g)提取锂,纯度为(96.6±0.2)%,以及在一步中从低锂源(锂与钠的比例为1:1000)中以(95.8±0.3)%的纯度实现高选择性(2.3×10)。