| Titre | Multivariate statistical analysis of trace element compositions of native gold from orogenic gold deposits: implication for mineral exploration |
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| Auteur | Liu, H; Beaudoin, G; Makvandi, S; Jackson, S E ; Huang, X |
| Source | Ore Geology Reviews vol. 131, 104061, 2021 p. 1-17, https://doi.org/10.1016/j.oregeorev.2021.104061 |
| Image |  |
| Année | 2021 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20200777 |
| Éditeur | Elsevier |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1016/j.oregeorev.2021.104061 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Sujets | prospection minière; gisements minéraux; or natif; genèse des minerais; cristallisation; précipitation; analyses par microsonde électronique; analyse par spectromètre de masse; analyses microscopiques;
géochimie des éléments en trace; analyses statistiques; géochimie des éléments en trace; inclusions; associations de minéraux; textures; minéraux gangue; roches hôtes; paragenèse; système hydrothermal; fluage; géologie économique; géochimie;
minéralogie; Sciences et technologie; Nature et environnement |
| Illustrations | cartes de localisation; histogrammes; photomicrographies; graphiques; diagrammes schématiques |
| Diffusé | 2021 02 11 |
| Résumé | (disponible en anglais seulement)
The mineralogy and chemical composition of native gold from twenty-seven representative orogenic gold deposits were investigated using optical microscopy,
electron probe microanalysis (EPMA), and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS). Minor elements, such as Ag and Cu, occur in solid solution, while trace elements, such as Fe, As, S, Hg, form impurities or micro
inclusions in native gold. Partial least squares-discriminant analysis (PLS-DA) has identified compositional characteristics based on mineral association, gold texture and dominant country rocks. Gold grains are commonly associated with pyrite,
arsenopyrite, chalcopyrite, pyrrhotite, and tourmaline in the studied orogenic deposits. Chemical variations in gold with different associated mineral assemblages are related to the partitioning of trace elements between co-crystalizing minerals and
gold during precipitation. Gold inclusions in gangue minerals are discriminated from later gold in fractures based on contents of Ag, Fe, Pb, and Bi, which indicates that gold in different paragenetic stages of mineralization can be identified using
its trace element signature. Gold hosted in different regional country rocks can be discriminated by Ag, Cu, Pd, Sb, and Hg, likely because of reactions of hydrothermal fluids with the regional country rocks along the fluid flow paths. |
| Sommaire | (Résumé en langage clair et simple, non publié et disponible en anglais seulement)
In this study, researchers explored the characteristics of native gold found in twenty-seven different
orogenic gold deposits. They examined the mineralogy and chemical composition of the gold using various techniques like electron probe microanalysis and laser ablation-inductively coupled plasma-mass spectrometry.
They discovered that native gold
can contain minor elements like silver (Ag) and copper (Cu) within its structure, while trace elements like iron (Fe), arsenic (As), sulfur (S), and mercury (Hg) can form impurities or micro-inclusions in the gold.
The researchers used a method
called partial least squares-discriminant analysis (PLS-DA) to identify specific characteristics of the gold based on factors like the minerals it's associated with, its texture, and the rocks it's found in.
They found that the chemical variations
in gold were related to how it interacted with other minerals and elements during its formation. This information can help scientists distinguish between different types of gold based on their trace element signatures.
Understanding the
composition and characteristics of native gold is essential for the mining industry, as it can aid in the identification of potentially valuable gold deposits and the development of more efficient extraction methods. |
| GEOSCAN ID | 328159 |
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