π‐Electron‐driven ionic liquids to enhance lithium recovery from spent batteries: Experimental and mechanistic insights
Abstract A novel strategy is proposed to enhance Li + extraction from spent lithium‐ion batteries (LIBs) by ionic liquid (IL)‐based extractants with π‐electron regulation. N ‐butyl‐4‐methylpyridinium bis(trifluoromethylsulfonyl)imide ([BMPy][Tf 2 N]) + tributyl phosphate (TBP) was designed as an optimal extractant resulting in extraction efficiency of Li + up to 98.4%, separation selectivities of Li + over other ions β Li + /Co 2+ , β Li + /Ni 2+ , and β Li + /Mn 2+ up to 705, 740, and 663, respectively, and Li 2 CO 3 product with 93.2 wt.% purity. The molecular‐level mechanism for enhancing Li + extraction was unraveled by quantum chemical calculations and molecular dynamics simulations. It is found that the [BMPy][Tf 2 N] + TBP system with moderate π‐electron density is not able to disrupt the strong hydration of divalent metal ions Co 2+ , Ni 2+ and Mn 2+ , but it can disrupt Li + hydration by so‐called the “π‐electron density matching effect.” This work provides theoretical guidance for rational design of specific IL‐based extractants to selective extraction of target metal ions from spent LIBs.
Authors
- Gangqiang Yu (ORCID: https://orcid.org/0000-0002-3595-6972)
- Christoph Held (ORCID: https://orcid.org/0000-0003-1074-177X)
- Gabriele Sadowski (ORCID: https://orcid.org/0000-0002-5038-9152)
- Biaohua Chen (ORCID: https://orcid.org/0000-0002-9871-9560)
- Yu Guo (ORCID: https://orcid.org/0000-0002-2401-4189)
- Xinhe Zhang (ORCID: https://orcid.org/0000-0002-4325-6079)
Institutions
- TU Dortmund University (DE)
- Beijing University of Technology (CN)
Publication Details
- Journal
- AIChE Journal
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1002/aic.18860
- Citations
- 5
- Primary Topic
- Extraction and Separation Processes
- Type
- article
- Field-Weighted Citation Impact
- 3.57
Funders
- Alexander von Humboldt-Stiftung
- National Natural Science Foundation of China
- Beijing Nova Program