Fine characterization of ore features in carbonatite-type Nb-REE deposits based on automated mineral quantitative analysis

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The study aims to characterize ore features in carbonatite-type niobium and rare earth element deposits using automated mineral analysis.
Utilized automated quantitative analysis system (TIMA) based on scanning electron microscopy and energy-dispersive spectrometry.
Characterized mineralogical features of calcite carbonatite and iron dolomite carbonatite ores.
Analyzed element distributions and calculated mineral compositions for comprehensive insights.
Calcite carbonatite contains 73.71% calcite and 21.25% apatite, with niobium mainly in ferrocolumbite (0.53%) and rare earths in monazite (0.41%).
Iron dolomite carbonatite primarily comprises iron dolomite (46.31%) and calcite (23.22%), with rare earths predominantly in fluorocarbonate (1.96%) and monazite (1.55%).
TIMA effectively identifies trace minerals down to 0.02% and accurately determines full rock elemental compositions quickly.

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Automated analysis reveals detailed mineral compositions in carbonatite-type niobium-REE deposits, indicating technological advantages.

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ZHAO et al. (2026) studied this question.

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