The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Highly Efficient p-Toluenesulfonic Acid-Based Deep-Eutectic Solvents for Cathode Recycling of Li-Ion Batteries
Abstract
The common use of Li-ion batteries (LIBs) in portable devices and electric vehicles is promoting an exponential growth of the rechargeable batteries market. Their use in electric vehicles while not yet so common will be favored in the near future by government incentives aiming to mitigate global warming effects coming from combustion engines. Despite the remote risk of cobalt (Co) and lithium (Li) supplies running low, metals recovery from “postconsumer” scrap is a rapidly expanding topic in the political agenda within the context of the circular economy. Among other recycling technologies, processes using mild conditions and providing high recycling efficiencies are gaining increased interest. For instance, organic acids are particularly interesting for LiCoO 2 dissolution even though they typically need the additional use of reducing agents. Herein, we explore the Co (and Li) recovery from spent LIBs using deep eutectic solvents (DESs) at temperatures as low as 90 °C, at times of dissolution as short as 15 min and without the use of any additional reducing agent. In particular, we used the eutectic mixture composed of p -toluenesulfonic acid (PTSA) monohydrate and choline chloride (ChCl) (e.g., PTSA·H 2 O·ChCl DES with a 1:1:1 molar ratio) and aqueous dilutions thereof (e.g., PTSA·2H 2 O·ChCl DES and PTSA·3H 2 O·ChCl DES with 1:2:1 and 1:3:1 molar ratios, respectively). Compared to organic acids, PTSAChCl-based DESs offered a significant reduction of the solute to solvent ratio (in g/L) needed for full Co dissolution. This brings benefits both in economic and sustainable terms that handling low solvent volumes has in industrial processes. Interestingly, Co recovery efficiencies from spent LIBs reached figures of up to 94% over the whole process relating to the extraction from spent LIBs using PTSAChCl-based DESs, the precipitation with either Na 2 CO 3 or (NH 4 ) 2 CO 3, and the final calcination to obtain Co 3 O 4 .
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
Cites
Abbott, A. P., Capper, G., Davies, D. L., Rasheed, R. K., & Tambyrajah, V. (2003) · Chemical Communications · doi:10.1039/b210714g · Cited by 5,738
Deep eutectic solvents: syntheses, properties and applications
Zhang, Q., De Oliveira Vigier, K., Royer, S., & Jérôme, F. (2012) · Chemical Society Reviews · doi:10.1039/c2cs35178a · Cited by 4,899
Abbott, A. P., Boothby, D., Capper, G., Davies, D. L., & Rasheed, R. K. (2004) · Journal of the American Chemical Society · doi:10.1021/ja048266j · Cited by 4,340
Design of Functional Therapeutic Deep Eutectic Solvents Based on Choline Chloride and Ascorbic Acid
Silva, J. M., Reis, R. L., Paiva, A., & Duarte, A. R. C. (2018) · ACS Sustainable Chemistry & Engineering · doi:10.1021/acssuschemeng.8b01687 · Cited by 142
Cited by
Neumann, J., Petranikova, M., Meeus, M., Gamarra, J. D., Younesi, R., Winter, M., & Nowak, S. (2022) · Advanced Energy Materials · doi:10.1002/aenm.202102917 · Cited by 805
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
A review on sustainable recycling technologies for lithium-ion batteries
Kader, Z. A., Marshall, A., & Kennedy, J. (2021) · Emergent Materials · doi:10.1007/s42247-021-00201-w · Cited by 78
Metadata
- Authors
- Roldán-Ruiz, M. J., Ferrer, M. L., Gutiérrez, M. C., & Monte, F. D.
- Venue
- ACS Sustainable Chemistry & Engineering
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-03-20
- Volume
- 8
- Issue
- 14
- Pages
- 5437-5445
- ISSN
- 2168-0485 (ISSN-L)
- OpenAlex
- W3010894839
- Cited by
- 197
- References
- 4
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- closed
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: Highly Efficient p-Toluenesulfonic Acid-Based Deep-Eutectic Solvents for Cathode Recycling of Li-Ion Batteries. https://app.cochat.ai/papers/10.1021/acssuschemeng.0c00892
- The paper
- Roldán-Ruiz, M. J., Ferrer, M. L., Gutiérrez, M. C., & Monte, F. D. (2020). Highly Efficient p-Toluenesulfonic Acid-Based Deep-Eutectic Solvents for Cathode Recycling of Li-Ion Batteries. ACS Sustainable Chemistry & Engineering. https://doi.org/10.1021/acssuschemeng.0c00892
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.