The DOI matches its Crossref record.
Selective recovery of cobalt from mixed lithium ion battery wastes using deep eutectic solvent
Open accessAbstract
Abstract Despite the efforts devoted to the development of new cathodic materials, cobalt-based lithium-ion batteries (LIBs) remain the first choice for many applications, turning cobalt into a critical raw material. Here, we report a method for the selective recovery of cobalt from mixed LIBs electrode materials. The method relies on the application of a green deep eutectic solvent (DES) and yields an extraction of 90% for cobalt and only 10% for nickel. A solvent extraction procedure was optimized to recover cobalt as cobalt oxalate, which was employed to produce lithium cobalt oxide cathode material. This produced cathode material delivered a discharge capacity of 150 mAh g−1 and a capacity retention between 10 and 100 galvanostatic cycles of 83%. Remarkably, the residual DES solution was reused delivering the same cobalt extraction attained using the fresh DES. Cobalt separation constitutes one of the major bottleneck during LIBs recycling, requiring costly and complex hydrometallurgical operations. The demonstrated selectivity of the implemented leaching method, along with the possibility to reuse the residual DES solution, paves the way to a green recycling alternative allowing for the reintroduction of strategic materials into the LIBs production chain.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Mao, J., Ye, C., Zhang, S., Xie, F., Zeng, R., Davey, K., Guo, Z., & Qiao, S. (2022) · Energy & Environmental Science · doi:10.1039/d2ee00162d · Cited by 365
Abidli, A., Huang, Y., Ben Rejeb, Z., Zaoui, A., & Park, C. B. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2021.133102 · Cited by 194
Metadata
- Authors
- Schiavi, P. G., Altimari, P., Branchi, M., Zanoni, R., Simonetti, G., Navarra, M. A., & Pagnanelli, F.
- Venue
- Chemical Engineering Journal
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 417
- Pages
- 129249
- ISSN
- 1385-8947 (ISSN-L)
- OpenAlex
- W3135043094
- Cited by
- 236
- References
- 0
- FWCI
- 15.95
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Selective recovery of cobalt from mixed lithium ion battery wastes using deep eutectic solvent. https://app.cochat.ai/papers/10.1016/j.cej.2021.129249
- The paper
- Schiavi, P. G., Altimari, P., Branchi, M., Zanoni, R., Simonetti, G., Navarra, M. A., & Pagnanelli, F. (2021). Selective recovery of cobalt from mixed lithium ion battery wastes using deep eutectic solvent. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2021.129249
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.