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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.

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1009240
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Title
Comparative Analysis of Selective Mining and XRT Sensor-Based Sorting for Copper Ore Pre-Concentration: Preliminary Studies Assessing Method Potential
Author
Progorowicz Jakub 1 ; Kurty Jakub 2 ; Marcin Michal 2 ; Sisol Martin 2 ; Romańska Anna 3 

 Institute of Earth Resources, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 1/9, 042 00 Košice, Slovakia; [email protected] (J.P.); [email protected] (J.K.); [email protected] (M.M.); [email protected] (M.S.), Comex Polska Sp. z o. o., ul. Kamieńskiego 51, 30-644 Kraków, Poland, Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland 
 Institute of Earth Resources, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 1/9, 042 00 Košice, Slovakia; [email protected] (J.P.); [email protected] (J.K.); [email protected] (M.M.); [email protected] (M.S.) 
 Faculty of Electrical and Computer Engineering, Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland 
Publication title
Sensors; Basel
Volume
26
Issue
1
First page
261
Number of pages
14
Publication year
2026
Publication date
2026
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2026-01-01
Milestone dates
2025-12-03 (Received); 2025-12-30 (Accepted)
Publication history
 
 
   First posting date
01 Jan 2026
ProQuest document ID
3291814146
Document URL
https://www.proquest.com/scholarly-journals/comparative-analysis-selective-mining-xrt-sensor/docview/3291814146/se-2?accountid=208611
Copyright
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2026-01-12
Database
ProQuest One Academic