Comparative Analysis of Selective Mining and XRT Sensor-Based Sorting for Copper Ore Pre-Concentration: Preliminary Studies Assessing Method Potential

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Authors: Jakub Progorowicz, Jakub Kurty, Michal Marcin, Martin Sisol, Anna Romanska
Cited by: 0
References: 10

Abstract

This study evaluates sensor-based pre-concentration using XRT technology as an alternative to selective mining for low-grade European copper ores (0.48% Cu), addressing the need for sustainable beneficiation amid declining ore grades and environmental pressures in green mining initiatives. Copper ore samples from Złote Hory mine (Czech Republic) were selectively extracted, mixed (1:1:1 ore 8-16 mm/ore 16-32 mm/waste rock 8-32 mm), and analyzed on Comex's LSX-MAX laboratory sorter with dual-energy XRT sensors, calibrated for maximum product recovery via density-based classification into High-Density (product) and Low-Density (waste) fractions. Sorting achieved a 1:1 product-to-waste mass split from feed (Cu = 0.5%, 100% mass), yielding pre-concentrate at 0.91% Cu (52.08% mass yield, 95.67% recovery) and waste at 0.04% Cu (47.92% mass, 4.33% loss)-a 1.82x grade upgrade superior to mixed feed and 1.42x superior to selective mining (0.64% Cu at 66.21% yield). Combined approaches promise further optimization; future work will assess downstream grinding/flotation impacts, industrial scaling, and economic/environmental benefits.

Fields of Study & Subjects

Mineral Processing and Grinding Minerals Flotation and Separation Techniques Metal Extraction and Bioleaching

Publication details

Journal / source
Sensors
Volume
26
Issue
1
Pages
261–261
Publication date
1 January 2026
Language
EN