Electrochemical Leaching of Cobalt from Cobaltite: Box-Behnken Design and Optimization with Response Surface Methodology
Cobalt, a critical metal, is anticipated to increase in market demand in the next couple of decades, particularly as a battery material used in electric vehicle application. To boost the domestic production of cobalt in the United States, an electrochemical process has been developed to recover cobalt from a cobaltite-rich concentrate and produce cobalt- and arsenic-rich leachate. The leaching efficiency of cobalt was optimized with a response surface methodology by modifying the electrochemical parameters. A series of experiments based on the Box-Behnken design of experiments were carried out using ferric iron as an electrochemically generated oxidant to leach metals from the concentrate. Operating parameters, such as electrochemical cell current, iron/arsenic molar ratio, and anolyte acidity, were optimized for maximum cobalt recovery. A predicted 73% cobalt extraction efficiency can be achieved with the electrochemically assisted leaching method within 24 h. Compared to other leaching methods, such as bioleaching, electrochemically assisted leaching shows a promising alternative for extracting metals from mining concentrates, showing higher efficiency in less time and under mild conditions.
Authors
- Nighat Afroz Chowdhury (ORCID: https://orcid.org/0000-0002-6120-1995)
- Arindam Mukhopadhyay (ORCID: https://orcid.org/0000-0002-0620-4157)
- Caleb Stetson (ORCID: https://orcid.org/0000-0003-0729-1261)
- Meng Shi (ORCID: https://orcid.org/0000-0002-0892-4828)
- Reyixiati Repukaiti (ORCID: https://orcid.org/0000-0002-2860-3888)
- Luis A. Diaz (ORCID: https://orcid.org/0000-0003-4895-464X)
- Hongyue Jin (ORCID: https://orcid.org/0000-0002-9531-340X)
Institutions
- University of Arizona (US)
- Idaho National Laboratory (US)
- Rogers (United States) (US)
Publication Details
- Journal
- ACS Omega
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1021/acsomega.4c07361
- Citations
- 2
- Primary Topic
- Extraction and Separation Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.43