Selective Recovery of Critical Minerals from Simulated Electronic Wastes Via Reaction‐Diffusion Coupling

Atom- and energy-efficient chemical separations are urgently needed to meet the surging demand for critical materials that has strained supply chains and threatened environmental damage. In this study, we used reaction-diffusion coupling to separate iron, neodymium, and dysprosium ions from model feedstocks of permanent magnets, which are typically found in electronic wastes. Feedstock solutions were placed in contact with a hydrogel loaded with potassium hydroxide and/or dibutyl phosphate, resulting in complex precipitation patterns as the various metal ions diffused into the reaction medium. Specifically, we observed the precipitation of up to 40 mM of iron from the feedstock, followed by the enrichment of 73 % dysprosium, and the extraction of >95 % neodymium product at a further distance from the solution-gel interface. We designed a series of experiments and simulations to determine the relevant ion diffusivities, D<sub>Nd</sub>=5.4×10<sup>-10</sup> and D<sub>Dy</sub>=5.1×10<sup>-10</sup> m<sup>2</sup>/s, and precipitation rates, k<sub>Nd</sub> =1.0×10<sup>-5</sup> and k<sub>Dy</sub>=5.0×10<sup>-3</sup> m<sup>9</sup> mol<sup>-3</sup> s<sup>-1</sup>, which enabled a numerical model to be established for predicting the distribution of products in the reaction medium. Our proof-of-concept study validates reaction-diffusion coupling as an effective and versatile approach for critical materials separations, without relying on ligands, membranes, resins, or other specialty chemicals.

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Publication Details

Journal
ChemSusChem
Published
2025-02-05
DOI
https://doi.org/10.1002/cssc.202402372
Citations
8
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
5.71

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article

Selective Recovery of Critical Minerals from Simulated Electronic Wastes Via Reaction‐Diffusion Coupling

Erin A. Miller, Qingpu Wang, Philip J. Brahana, Elias Nakouzi et al.
8 citations
ChemSusChem
Extraction and Separation Processes
5.71
article

Selective Recovery of Critical Minerals from Simulated Electronic Wastes Via Reaction‐Diffusion Coupling

Erin A. Miller, Qingpu Wang, Philip J. Brahana, Elias Nakouzi, Grant E. Johnson, Duo Song, Yucheng Fu, Bhuvnesh Bharti, Maria L. Sushko, Andrew Ritchhart, Zhijie Xu
article en
8 citations

Abstract

Atom- and energy-efficient chemical separations are urgently needed to meet the surging demand for critical materials that has strained supply chains and threatened environmental damage. In this study, we used reaction-diffusion coupling to separate iron, neodymium, and dysprosium ions from model feedstocks of permanent magnets, which are typically found in electronic wastes. Feedstock solutions were placed in contact with a hydrogel loaded with potassium hydroxide and/or dibutyl phosphate, resulting in complex precipitation patterns as the various metal ions diffused into the reaction medium. Specifically, we observed the precipitation of up to 40 mM of iron from the feedstock, followed by the enrichment of 73 % dysprosium, and the extraction of >95 % neodymium product at a further distance from the solution-gel interface. We designed a series of experiments and simulations to determine the relevant ion diffusivities, D<sub>Nd</sub>=5.4×10<sup>-10</sup> and D<sub>Dy</sub>=5.1×10<sup>-10</sup> m<sup>2</sup>/s, and precipitation rates, k<sub>Nd</sub> =1.0×10<sup>-5</sup> and k<sub>Dy</sub>=5.0×10<sup>-3</sup> m<sup>9</sup> mol<sup>-3</sup> s<sup>-1</sup>, which enabled a numerical model to be established for predicting the distribution of products in the reaction medium. Our proof-of-concept study validates reaction-diffusion coupling as an effective and versatile approach for critical materials separations, without relying on ligands, membranes, resins, or other specialty chemicals.

ChemSusChemVol. 18(10)
Louisiana State University (US), Pacific Northwest National Laboratory (US)
National Science Foundation, U.S. Department of Energy, Battelle, University of Washington, Laboratory Directed Research and Development, Pacific Northwest National Laboratory
Openalex Percentile: Top 4%
Extraction and Separation Processes
5.71
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