Efficient leaching process of rare earth, alkali and alkaline earth metals from phosphogypsum based on methanesulfonic acid (MSA) as green &amp; eco-friendly lixiviant

Brahim, Jamal Ait; Merroune, Amal; Boulif, Rachid; Mounir, El Mahdi; Beniazza, Rédouane

doi:10.1039/d2ra04124c

Cited by 15 publications

(1 citation statement)

References 49 publications

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“…For instance, the unque chemistry of the sulfonic group has inspired its application for several industrial processes, such as organosulfonic acid functionalized montmorillonites as solid catalysts for transesterification of free fatty acid and waste (Silva et al, 2020) and highly active organosulfonic aryl-silica nanoparticles as efficient catalysts for biomass derived biodiesel and fuel additive (Peixoto, et al, 2021). Moreover, in line with the exponential demand for RREs to fuel the globally anticipated energy transition to envirnmentally benign and sustainable energy supplies, their recovery from industrial wastes has been proven to be technically feasible (Elbashier et al, 2021;Castro et al, 2021;Binnemans et al, 2016;Gulliani et al, 2023;Kozakiewicz et al, 2019;Brahim et al, 2022) (Elbashier, Mussa, Hafiz, & Hawari, 2021). The following sections will be devoted to the roles organic derivatives of sulfonic acids in REEs extration from coal ash.…”

Section: Hydrometallurgical Aspectsmentioning

confidence: 99%

Rare Erath Elements: Their Geological Sources and the Potential of Organosulfonic Acids For Rare Earth Elements Leaching from Coal Ash and Process Optimization

Miadonye,

Amadu

2023

Preprint

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The orbital elactronic structure of Rare Earth Elements (REEs) contains many unpaired electrons which render them capable of storing large amount of magnetic energy in addition to being critical for hitech applications. Geological deposits are their conventional sources, and the current supply chain relies on production from these deposits. However, given their critical roles in the anticipated global energy transition, there is the need to explore other viable sources to supplement current and future supplies chains. REEs occur in coal as accessory minerals and their concentration in coal ash to levels that rival those of geological deposits has been estab;ished by sophisticated analytical chemical methods. Conmventional hydrometallurgical processes rely on acid leaching, using tioxic mineral acids. Meanwhile, organosulfonic acids have pKa values that rival those of conventional minerals acid and can, therefore, be used in hydrometallurgy but their uses in this regard are not well documented in the literature. In this extensive review, we have covered geological sources of REEs exaustively in addition to showing the potential of organosulfonic acids as environmentally benign lixiviants for REEs extraction from coal ash. We have also shown how process optimization can be achieved using advance technologies while using organisulfonic acids. Moreover, we have shown current and future global market trends regarding the production of select organosulfonic acids, and the anticipated global increase in their production motivates the use of organosulfonic acids as viable lixiviants for REEs extraction from caol ash deposits.

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Section: Hydrometallurgical Aspectsmentioning

confidence: 99%

Rare Erath Elements: Their Geological Sources and the Potential of Organosulfonic Acids For Rare Earth Elements Leaching from Coal Ash and Process Optimization

Miadonye,

Amadu

2023

Preprint

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Challenges and Recovery Opportunities in Waste Management During the Mining and Enrichment Processes of Rare Earth Elements Containing Ores

Yıldız,

Tombal-Kara,

Kurşun-Ünver

2024

Trash or Treasure

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Rare earths leaching from Philippine phosphogypsum using Taguchi method, regression, and artificial neural network analysis

Diwa

Tabora²,

Haneklaus

et al. 2023

J Mater Cycles Waste Manag

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The Philippines produce some 2.1–3.2 million t phosphogypsum (PG) per year. PG can contain elevated concentrations of rare earth elements (REEs). In this work, the leaching efficiency of the REEs from Philippine PG with H2SO4 was for the first time studied. A total of 18 experimental setups (repeated 3 times each) were conducted to optimize the acid concentration (1–10%), leaching temperature (40–80 °C), leaching time (5–120 min), and solid-to-liquid ratio (1:10–1:2) with the overall goal of maximizing the REE leaching efficiency. Applying different optimizations (Taguchi method, regression analysis and artificial neural network (ANN) analysis), a total REEs leaching efficiency of 71% (La 75%, Ce 72%, Nd 71% and Y 63%) was realized. Our results show the importance of the explanatory variables in the order of acid concentration > temperature > time > solid-to-liquid ratio. Based on the regression models, the REE leaching efficiencies are directly related to the linear combination of acid concentration, temperature, and time. Meanwhile, the ANN recognized the relevance of the solid-to-liquid ratio in the leaching process with an overall R of 0.97379. The proposed ANN model can be used to predict REE leaching efficiencies from PG with reasonable accuracy.

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Efficient leaching process of rare earth, alkali and alkaline earth metals from phosphogypsum based on methanesulfonic acid (MSA) as green & eco-friendly lixiviant

Abstract: Development of green and eco-friendly leaching process of rare earth elements from phosphogypsum using methanesulfonic acid (MSA). A kinetics investigation was carried out to describe the leaching mechanisms of REEs.

Cited by 15 publications

References 49 publications

Rare Erath Elements: Their Geological Sources and the Potential of Organosulfonic Acids For Rare Earth Elements Leaching from Coal Ash and Process Optimization

Rare Erath Elements: Their Geological Sources and the Potential of Organosulfonic Acids For Rare Earth Elements Leaching from Coal Ash and Process Optimization

Challenges and Recovery Opportunities in Waste Management During the Mining and Enrichment Processes of Rare Earth Elements Containing Ores

Rare earths leaching from Philippine phosphogypsum using Taguchi method, regression, and artificial neural network analysis

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