Ionic polymer absorbents inspired by deep eutectic solvents to recover cobalt and nickel

Cobalt and nickel are vital metals for the transition to a decarbonized society, currently in critical supply conditions to meet future demands. The recovery of those metals from secondary sources can mitigate this issue, as well as treating hazardous waste and increasing its economic value. In this...

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Veröffentlicht in:New journal of chemistry 2024-08, Vol.48 (33), p.14672-14683
Hauptverfasser: Bastos, Henrique, Gallastegui, Antonela, de Lacalle, Jon López, Schaeffer, Nicolas, Pringle, Jennifer M., Mecerreyes, David, Pozo-Gonzalo, Cristina
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Sprache:eng
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Zusammenfassung:Cobalt and nickel are vital metals for the transition to a decarbonized society, currently in critical supply conditions to meet future demands. The recovery of those metals from secondary sources can mitigate this issue, as well as treating hazardous waste and increasing its economic value. In this work, ionic polymers inspired by deep eutectic solvents (DES) were studied for cobalt and nickel recovery from representative recycling solutions. These polymers were prepared by simple and fast photopolymerization process combining [2-(methacryloyloxy) ethyl] trimethylammonium chloride (METAC) with a series of hydroxylated compounds ( e.g. alcohol and phenolic compounds). Different driving forces for metal absorption; ionic interactions, hydrogen bonding coordination, acidity of the media and polymer swelling have been investigated. The poly(METAC:1-butanol) polymer showed the highest absorption capacity (46 ± 5 mg g −1 and 46 ± 4 mg g −1 for cobalt and nickel, respectively), competing with conventional materials. Moreover, the metal stripping and recovery step was investigated. Favourably, deionized water presented the highest desorption efficiency, in comparison with HCl, rendering this process ‘greener’ and highly cost-effective. Finally, the ionic polymers were successfully reused as absorbents for five absorption/desorption cycles, maintaining structural integrity. This approach can pose an alternative way of using systems inspired by DES, with application at a larger scale upon further optimizations.
ISSN:1144-0546
1369-9261
DOI:10.1039/D4NJ02316A