Critical rare earth metal adsorption onto expanded vermiculite: Accurate modeling through response surface methodology and machine learning techniques

Brião, Giani de Vargas; Franco, Dison Stracke Pfingsten; Silva, Flávio Vasconcelos da; Silva, Meuris Gurgel Carlos da; Vieira, Melissa Gurgel Adeodato

doi:10.1016/j.scp.2022.100938

Cited by 7 publications

(3 citation statements)

References 58 publications

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“…One thing we want to mention here but not discuss in detail for this review paper is the artificial intelligence (AI) used for recovery of REEs. AI offers significant advantages in REE recovery, such as it can analyze vast datasets related to REE resources, mining operations, and processing techniques [100][101][102][103]. By predicting optimal mining sites or suggesting efficient extraction methods to optimize the REE recovery process, AI-powered robots and sorting systems can enhance the recovery of REEs from electronic waste and other recyclables.…”

Section: Nanocomposite Polymersmentioning

confidence: 99%

Polymeric Materials for Rare Earth Elements Recovery

Zhang,

Gao

2023

Gels

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Rare earth elements (REEs) play indispensable roles in various advanced technologies, from electronics to renewable energy. However, the heavy global REEs supply and the environmental impact of traditional mining practices have spurred the search for sustainable REEs recovery methods. Polymeric materials have emerged as promising candidates due to their selective adsorption capabilities, versatility, scalability, and regenerability. This paper provides an extensive overview of polymeric materials for REEs recovery, including polymeric resins, polymer membranes, cross-linked polymer networks, and nanocomposite polymers. Each category is examined for its advantages, challenges, and notable developments. Furthermore, we highlight the potential of polymeric materials to contribute to eco-friendly and efficient REEs recovery, while acknowledging the need to address challenges such as selectivity, stability, and scalability. The research in this field actively seeks innovative solutions to reduce reliance on hazardous chemicals and minimize waste generation. As the demand for REEs continues to rise, the development of sustainable REEs recovery technologies remains a critical area of investigation, with the collaboration between researchers and industry experts driving progress in this evolving field.

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Section: Nanocomposite Polymersmentioning

confidence: 99%

Polymeric Materials for Rare Earth Elements Recovery

Zhang,

Gao

2023

Gels

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“…These properties are beneficial for the adsorption of pollutants in the environment. Therefore, many scholars have studied the use of expanded Vrm to treat the environment [ 8 , 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

The Expanded Vermiculite Was Quickly Prepared by the Catalytic Action of Manganese Dioxide on Hydrogen Peroxide and Its Adsorption Properties to Cd

et al. 2023

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The structure and activity of vermiculite can be maintained by expanding vermiculite (Vrm) with hydrogen peroxide. However, it is time-consuming. In past studies, little attention has been paid to the catalytic properties of manganese dioxide on hydrogen peroxide to improve the swelling efficiency of vermiculite. In this experiment, this catalytic effect was utilized to swell Vrm in a short time. The samples were then used to adsorb Cd from the solution. Through a series of characterization tests. The results showed that the exothermic rate was 1960.42–2089.164 J/min and the total exothermic heat was 39,208.4–41,783.28 J when expanding 10 gVrm, which could have a good expansion effect. The expansion was completed in about 40 min. Compared with Vrm, the adsorption of Cd is enhanced by about 30%. It is consistent with the proposed secondary kinetic adsorption model. This study provides a new perspective and theoretical guidance for improving the efficiency of Vrm stripping by hydrogen peroxide. A kind of expanded Vrm with better Cd adsorption efficiency was also prepared.

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“…The application of ML algorithms has been applied to REE separation techniques [30] and adsorption [31]. Therefore, the objective of this study is to optimize the removal of REEs (La, Eu, Pr, Ce, Tb and Y) by adsorption on FAU structures in continuous flow assays, employing ML techniques for evaluation and system development.…”

Section: Introductionmentioning

confidence: 99%

Exploring Optimization of Zeolites as Adsorbents for Rare Earth Elements in Continuous Flow by Machine Learning Techniques

Barros,

Parpot,

Neves

et al. 2023

Molecules

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Unsupervised machine learning (ML) techniques are applied to the characterization of the adsorption of rare earth elements (REEs) by zeolites in continuous flow. The successful application of principal component analysis (PCA) and K-Means algorithms from ML allowed for a wide range assessment of the adsorption results. This global approach permits the evaluation of the different stages of the sorption cycles and their optimization and improvement. The results from ML are also used for the definition of a regression model to estimate other REEs’ recoveries based on the known values of the tested REEs. Overall, it was possible to remove more than 70% of all REEs from aqueous solutions during the adsorption assays and to recover over 80% of the REEs entrapped on the zeolites using an optimized desorption cycle.

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Critical rare earth metal adsorption onto expanded vermiculite: Accurate modeling through response surface methodology and machine learning techniques

Cited by 7 publications

References 58 publications

Polymeric Materials for Rare Earth Elements Recovery

Polymeric Materials for Rare Earth Elements Recovery

The Expanded Vermiculite Was Quickly Prepared by the Catalytic Action of Manganese Dioxide on Hydrogen Peroxide and Its Adsorption Properties to Cd

Exploring Optimization of Zeolites as Adsorbents for Rare Earth Elements in Continuous Flow by Machine Learning Techniques

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