Metal-Assisted Deprotonation as a Key Step in Selective Copper Extraction: A Theoretical and Experimental Study

The growing demand for copper, together with the environmental limitations of conventional recovery methods, has intensified the search for extractants capable of operating directly in acidic mining solutions. In this work, a combined experimental-theoretical approach is presented to understand the coordination and extraction behaviour of Cu<sup>2+</sup>, Ni<sup>2+</sup>, Co<sup>2+</sup> and Cd<sup>2+</sup> ions with the ligand HDDMP (4-hexyl-dithiocarboxylate-5-hydroxy-3-methyl-1-phenylpyrazole). Experimental solvent-extraction tests show that copper forms stable coordination complexes even under highly acidic conditions (pH ≈ 0), unlike Ni<sup>2+</sup>, Co<sup>2+</sup> and Cd<sup>2+</sup>, which require higher pH values for efficient extraction. DFT calculations reveal that Cu<sup>2+</sup> promotes a spontaneous, low-barrier deprotonation-coordination process that is exergonic and electronically stabilised through strong Cu-S orbital interactions. This mechanism explains the exceptional selectivity of HDDMP towards copper, in which the copper ion acts simultaneously as both a coordinating centre and a deprotonating agent. These findings provide a molecular basis for designing new extractants suited to hydrometallurgical environments, offering direct industrial relevance for acidic copper-recovery circuits, minimising reagent consumption and improving selectivity in solvent-extraction processes widely used in mining operations.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-12-11
DOI
https://doi.org/10.3390/ijms262411955
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metal-Assisted Deprotonation as a Key Step in Selective Copper Extraction: A Theoretical and Experimental Study

René Maurelia, Felipe M. Galleguillos Madrid, P. P. Zamora, Víctor M. Jiménez-Arévalo
International Journal of Molecular Sciences
Extraction and Separation Processes
article

Metal-Assisted Deprotonation as a Key Step in Selective Copper Extraction: A Theoretical and Experimental Study

René Maurelia, Felipe M. Galleguillos Madrid, P. P. Zamora, Víctor M. Jiménez-Arévalo
article en

Abstract

The growing demand for copper, together with the environmental limitations of conventional recovery methods, has intensified the search for extractants capable of operating directly in acidic mining solutions. In this work, a combined experimental-theoretical approach is presented to understand the coordination and extraction behaviour of Cu<sup>2+</sup>, Ni<sup>2+</sup>, Co<sup>2+</sup> and Cd<sup>2+</sup> ions with the ligand HDDMP (4-hexyl-dithiocarboxylate-5-hydroxy-3-methyl-1-phenylpyrazole). Experimental solvent-extraction tests show that copper forms stable coordination complexes even under highly acidic conditions (pH ≈ 0), unlike Ni<sup>2+</sup>, Co<sup>2+</sup> and Cd<sup>2+</sup>, which require higher pH values for efficient extraction. DFT calculations reveal that Cu<sup>2+</sup> promotes a spontaneous, low-barrier deprotonation-coordination process that is exergonic and electronically stabilised through strong Cu-S orbital interactions. This mechanism explains the exceptional selectivity of HDDMP towards copper, in which the copper ion acts simultaneously as both a coordinating centre and a deprotonating agent. These findings provide a molecular basis for designing new extractants suited to hydrometallurgical environments, offering direct industrial relevance for acidic copper-recovery circuits, minimising reagent consumption and improving selectivity in solvent-extraction processes widely used in mining operations.

International Journal of Molecular SciencesVol. 26(24)
Universidad de Santiago de Chile (CL), Universidad de Antofagasta (CL), University of Atacama (CL)
Openalex Percentile: Top 59%
Extraction and Separation Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.