Mineralogical characterization using QEMSCAN® and leaching potential study of REE within silicate ores: A case study of the Matamec project, Québec, Canada

Edahbi, Mohamed; Benzaazoua, Mostafa; Plante, Benoît; Doire, S.; Kormos, L.J.

doi:10.1016/j.gexplo.2017.11.007

Cited by 28 publications

(18 citation statements)

References 17 publications

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“…These results are consistent with those found by Edahbi et al [24] on the Kipawa alkaline intrusion REE deposit. In this geological context the leached REE is below 15 µg/L [24]. Moreover, Purdy [42] demonstrated that the REE concentrations in the leachate using shake flask tests on REE tailings of the Nechalacho Deposit, Northwest Territories, vary between 1 µg/L and 12 µg/L, with a maximum concentration in the tests using distilled deionized water and the minimum concentration in the tests using pilot plant water.…”

Section: Geochemical Behaviorsupporting

confidence: 93%

“…The LREE concentrations are higher in the leachates from the REE concentrate (1-133 µg/L) compared to those of HREE (0.03-61 µg/L). These results are consistent with those found by Edahbi et al [24] on the Kipawa alkaline intrusion REE deposit. In this geological context the leached REE is below 15 µg/L [24].…”

Section: Geochemical Behaviorsupporting

confidence: 93%

“…In order to further understand the effect of mineralogy, mineral size distributions, and effect of liberation on the geochemical behavior of REE-bearing minerals, a QEMSCAN (Quantitative Evaluation of Materials by Scanning Electron Microscopy) analysis was performed [24,40]. QEMSCAN is an automated system that produces particle maps (color coded by mineral) through the collection of rapidly acquired X-rays.…”

Section: Mineralogical Characterizationmentioning

confidence: 99%

“…The authors also demonstrated that more than 90% of the leached REE were presented in the colloidal phase [42]. In addition, other authors showed that REE fractionation is promoted by an increase in pH [24,43,44]. Edahbi et al showed, using thermodynamic equilibrium calculations on the humidity cell leachate data, that REE concentrations decreased significantly (from 10 −8 to 10 −16 mg/L) when pH values increase from 2.6 to 10 [45].…”

Section: Geochemical Behaviormentioning

confidence: 99%

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Rare Earth Elements (La, Ce, Pr, Nd, and Sm) from a Carbonatite Deposit: Mineralogical Characterization and Geochemical Behavior

et al. 2018

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Geochemical characterization including mineralogical measurements and kinetic testing was completed on samples from the Montviel carbonatite deposit, located in Quebec (Canada). Three main lithological units representing both waste and ore grades were sampled from drill core. A rare earth element (REE) concentrate was produced through a combination of gravity and magnetic separation. All samples were characterized using different mineralogical techniques (i.e., quantitative evaluation of minerals by scanning electron microscopy (QEMSCAN), X-ray diffraction (XRD), and scanning electron microscopy with X-ray microanalysis (SEM-EDS)) in order to quantify modal mineralogy, liberation, REE deportment and composition of REE-bearing phases. The REE concentrate was then submitted for kinetic testing (weathering cell) in order to investigate the REE leaching potential. The mineralogical results indicate that: (i) the main REE-bearing minerals in all samples are burbankite, kukharenkoite-Ce, monazite, and apatite; (ii) the samples are dominated by REE-free carbonates (i.e., calcite, ankerite, and siderite); and (iii) LREE is more abundant than HREE. Grades of REE minerals, sulfides and oxides are richer in the concentrate than in the host lithologies. The geochemical test results show that low concentrations of light REE are leached under kinetic testing conditions (8.8-139.6 µg/L total light REE). These results are explained by a low reactivity of the REE-bearing carbonates in the kinetic testing conditions, low amounts of REE in solids, and by precipitation of secondary REE minerals.

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Section: Geochemical Behaviorsupporting

confidence: 93%

Section: Geochemical Behaviorsupporting

confidence: 93%

Section: Mineralogical Characterizationmentioning

confidence: 99%

Section: Geochemical Behaviormentioning

confidence: 99%

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Rare Earth Elements (La, Ce, Pr, Nd, and Sm) from a Carbonatite Deposit: Mineralogical Characterization and Geochemical Behavior

et al. 2018

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“…As such, many projects have been initiated all over the world, which seek to find alternative sources of REE outside China [10][11][12]. Except the secondary resources, a variety of potential unconventional deposits have also been explored, such as REE-bearing laterite, peralkaline granite, ferromanganese nodules, and silicate deposits, including eudialyte, mosandrite, and britholite [13][14][15][16]. Among the minerals mentioned, Eudialyte is a promising REE resource, which contains 1.5-2% REE [17].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Modeling for the Extraction of Rare Earth Elements from Eudialyte Concentrate by Dry Digestion and Leaching

Stopić

Gronen

et al. 2018

Metals

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Eudialyte is a promising mineral for rare earth elements (REE) extraction due to its good solubility in acid, low radioactive, and relatively high content of REE. In this paper, a two stage hydrometallurgical treatment of eudialyte concentrate was studied: dry digestion with hydrochloric acid and leaching with water. The hydrochloric acid for dry digestion to eudialyte concentrate ratio, mass of water for leaching to mass of eudialyte concentrate ratio, leaching temperature and leaching time as the predictor variables, and the total rare earth elements (TREE) extraction efficiency as the response were considered. After experimental work in laboratory conditions, according to design of experiment theory (DoE), the modeling process was performed using Multiple Linear Regression (MLR), Stepwise Regression (SWR), and Artificial Neural Network (ANN). The ANN model of REE extraction was adopted. Additional tests showed that values predicted by the neural network model were in very good agreement with the experimental results. Finally, the experiments were performed on a scaled up system under optimal conditions that were predicted by the adopted ANN model. Results at the scale-up plant confirmed the results that were obtained in the laboratory.

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Application of Geochemical Modeling in Rare Earth Elements Leaching of Coal Combustion and Secondary Residues

Odimba

2021

Clean Coal Technologies

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Mineralogical characterization using QEMSCAN® and leaching potential study of REE within silicate ores: A case study of the Matamec project, Québec, Canada

Cited by 28 publications

References 17 publications

Rare Earth Elements (La, Ce, Pr, Nd, and Sm) from a Carbonatite Deposit: Mineralogical Characterization and Geochemical Behavior

Rare Earth Elements (La, Ce, Pr, Nd, and Sm) from a Carbonatite Deposit: Mineralogical Characterization and Geochemical Behavior

Neural Network Modeling for the Extraction of Rare Earth Elements from Eudialyte Concentrate by Dry Digestion and Leaching

Application of Geochemical Modeling in Rare Earth Elements Leaching of Coal Combustion and Secondary Residues

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