Mounted Single Particle Characterization for 3D Mineralogical Analysis—MSPaCMAn

Godinho, José R. A.; Grilo, Barbara Luiza Danelon; Hellmuth, Friedrich; Siddique, Asim

doi:10.3390/min11090947

Cited by 10 publications

(5 citation statements)

References 39 publications

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“…The suggested reactivity map approach will certainly benefit ore leaching or batch mineral dissolution experiments, as it can provide constraints for the variability of dissolution rates based on the initial geometry of the particles in the studied material. In such bulk experiments, many particles with various geometry are simultaneously exposed to dissolution [33,34]. The geometry of these particles can be differentiated by calculating the distance of the surface towards relevant macroscopic features.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Macroscopic Particle Features on Mineral Dissolution

2023

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Mineral dissolution is a dynamic process in which kinetics depend on the reactive surface area, orientation, and geometry of the dissolving mineral grain. Dissolution rate is, thus, not represented by a single value, but rather, by a spectrum that is affected by the reactivity of different types of surface features. Such dissolution rate spectra are usually obtained by very detailed studies of perfectly cleaved surfaces by atomic force microscopy or in situ studies, such as flow-through experiments. This study visualizes dissolution progress by repeated X-ray computed tomography scans of a single particle. This allows studying the influence of larger particle features, such as corners and edges, at the interception of macroscopic faces of particles, as well as the influence of those macroscopic features on the dissolution rate spectra. As a suitable case study, the dissolution of a monomineralic galena (PbS) particle in ethaline is studied. The observed changes in particle geometry are evaluated using a newly developed empirical model in order to break down the rate spectra as a function of the particle geometry. Results illustrate that dissolution rates are exponentially correlated with the distance to crystal corners and edges. The reactivity map generated from these exponential relations shows a linear trendline with the dissolution rates over the entire surface of the studied galena particle. The empirical reactivity map developed here opens the possibility of predicting the dissolution rate of particulate materials based on computed tomography and the optimal geometrical properties of the particles that maximize the dissolution, e.g., size and shape.

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Section: Discussionmentioning

confidence: 99%

The Effect of Macroscopic Particle Features on Mineral Dissolution

2023

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“…A workflow named mounted single-particle characterization for mineralogical analyses (MSPaCMAn) has been shown to reduce the CT image artefacts described above (Godinho et al, 2021a). First, the particles are dispersed throughout a sample using a spacer to prevent particles from touching each other and to reduce the effect of beam hardening because all sections of a sample have similar densities.…”

Section: Methods Development Workflow Backgroundmentioning

confidence: 99%

“…The particle dispersions were prepared using a standardized procedure (Godinho et al, 2021a) that uses sugar particles as spacer in the ratio of 7 g of sugar and 1 g of sample particles. The resin used was a fast-curing acrylic polymer, Paladur (Kulzer, Mitsui Chemical Group).…”

Section: Experimental Sample Preparationmentioning

confidence: 99%

3D Quantitative Mineral Characterization of Particles Using X-ray Computed Tomography

2023

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A new method to measure and quantify the 3D mineralogical composition of particulate materials using X-ray computed micro-tomography (CT) is presented. The new method is part of a workflow designed to standardize the analysis of particles based on their microstructures without the need to segment the individual classes or grains. Classification follows a decision tree with criteria derived from particle histogram parameters that are specific to each microstructure, which in turn can be identified by 2D-based automated quantitative mineralogy. The quantification of mineral abundances is implemented at the particle level according to the complexity of the particle by taking into consideration the partial volume effect at interphases. The new method was tested on two samples with different particle size distributions from a carbonate rock containing various microstructures and phases. The method allowed differentiation and quantification of more mineral classes than traditional 3D image segmentation that uses only the grey-scale for mineral classification. Nevertheless, due to lower spatial resolution and lack of chemical information, not all phases identified in 2D could be distinguished. However, quantification of the mineral classes that could be distinguished was more representative than their 2D quantification, especially for coarser particle sizes and for minor phases. Therefore, the new 3D method shows great potential as a complement to 2D-based methods and as an alternative to traditional phase segmentation analysis of 3D images. Particle-based quantification of mineralogical and 3D geometrical properties of particles opens new applications in the raw materials and particle processing industries.

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“…The geometrical properties of the particles occurring in these magnetic susceptibility classes can be obtained using the MLA measurement. However, due to the 2D nature of MLA measurement, these properties will have stereological bias, which can be resolved by using X-ray micro-computed tomography measurements of the particles from each magnetic susceptibility class [41,42].…”

Section: Modal Mineralogymentioning

confidence: 99%

Characterization of Magnetic and Mineralogical Properties of Slag Particles from WEEE Processing

Siddique,

Boelens,

Long

et al. 2023

Minerals

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Magnetic separation has wide-ranging applications in both mineral processing and recycling industries. Nevertheless, its conventional utilization often overlooks the interplay between mineral and particle characteristics and their impact on operational conditions, ultimately influencing the efficacy of the separation process. This work describes a methodology able to achieve the comprehensive characterization and classification of Waste Electrical and Electronic Equipment (WEEE) slag. The primary objective is to establish a meaningful connection between the distinct properties of slag phases and their influence on the separation process. Our methodology consists of several stages. Firstly, the WEEE slag is sieved into distinct size classes, followed by classification into magnetic susceptibility classes by using the Frantz Isodynamic separator. To quantify the magnetic susceptibility of each class, we used a magnetic susceptibility balance, and to identify paramagnetic and ferromagnetic fractions and phases within these magnetic susceptibility classes, we conducted vibrating-sample magnetometer measurements. Finally, to establish a meaningful link between the magnetic characterization, mineralogical, and particle-level details, Mineral Liberation Analysis was conducted for each magnetic susceptibility class. This in-depth analysis, encompassing both particle properties and magnetic susceptibility classes, provides a better understanding of the separation behavior of different phases and can help to enrich phases with a specific range of magnetic susceptibility values. This knowledge advances progress towards the development of predictive separation models that are capable of bridging the gap between theoretical understanding and practical application in the field of magnetic separation.

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Mounted Single Particle Characterization for 3D Mineralogical Analysis—MSPaCMAn

Cited by 10 publications

References 39 publications

The Effect of Macroscopic Particle Features on Mineral Dissolution

The Effect of Macroscopic Particle Features on Mineral Dissolution

3D Quantitative Mineral Characterization of Particles Using X-ray Computed Tomography

Characterization of Magnetic and Mineralogical Properties of Slag Particles from WEEE Processing

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