SinoTechIntel Academic Portal
Open AccessDOI: 10.1007/s12613-025-3334-0Original Research

Mechanistic insights into the synergistic depression of pyrite by H2O2 and Fe3+ in low-alkalinity Cu–S flotation separation

Yubin Sun¹,Qian Zhang¹,Shuming Wen¹,Yongchao Miao¹,Ping Zhang¹

State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China

Read Executive PreviewQuick FAQ
Mechanistic insights into the synergistic depression of pyrite by H2O2 and Fe3+ in low-alkalinity Cu–S flotation separation
Graphical Abstract / Figure
Published In
Journal of Mineral Metallurgy and Materials Science
Published:April 5, 2025Edition:Vol. 32, Issue 4 • pp. 231-243Citation:Yubin Sun et al. (2025), Journal of Mineral Metallurgy and Materials Science
Impact Factor3.5 (Q2 - USTB)
Sponsored Research Partner
Keywords & Index Terms:chalcopyritepyriteflotation separationdepression mechanismH2O2/Fe3+low alkalinitysurface hydrophobicitysulfide ore processing

Key Takeaways & Executive Findings

  • • H2O2/Fe3+ as a combined depressant enables efficient chalcopyrite–pyrite separation under low-alkalinity conditions, achieving a copper concentrate with 30.51 wt% chalcopyrite grade and >88% recovery. • Mechanistic analysis reveals that H2O2 selectively oxidizes pyrite disulfide to sulfate and promotes Fe2+→Fe3+, generating hydrophilic Fe–SO4/Fe–OOH/Fe–OH coatings; Fe3+ hydrolysis products further adsorb to form dense hydrophilic layers. • Chalcopyrite's stable covalent Cu–S bonds resist oxidation and limit Fe3+ adsorption, preserving SEX collector adsorption at copper-active sites and minimizing depression of chalcopyrite. • The low-alkalinity H2O2/Fe3+ system offers a sustainable, high-selectivity alternative to lime depressants, mitigating scaling, corrosion, and target-metal recovery losses in industrial Cu–S flotation separation.
Sponsored Research Highlight

Abstract

Conventional lime depressants used in copper sulfide flotation separation are limited by persistent challenges of scaling, corrosion, and compromised target-metal recovery, which necessitates the development of efficient and green alternatives. This study demonstrates the synergistic depression of pyrite by H2O2/Fe3+ under low-alkalinity conditions. The complementary action pathways were systematically elucidated by multiscale characterization techniques including mono- and mixed-mineral flotation tests and surface and solution analysis. Flotation test results showed that the combined depressant system H2O2/Fe3+ enabled efficient separation of chalcopyrite and pyrite. Under the optimal mixed-mineral separation conditions of 0.025vol% H2O2 and 2 × 10−5 mol/L Fe3+, the artificial mixed-mineral flotation test yielded a copper concentrate with a chalcopyrite grade of 30.51wt%, while chalcopyrite recovery remained stably above 88%. Investigations into the depression mechanism and surface hydrophobicity revealed that H2O2 selectively oxidized disulfide (S2−) to sulfate (SO4 2−) while facilitating Fe2+ conversion to Fe3+, generating hydrophilic Fe–SO4/Fe–OOH/Fe–OH coatings that disrupted natural surface natural hydrophobicity. Simultaneously, Fe3+ hydrolyzed to hydroxyl complexes ([Fe(OH)2]+ and Fe(OH)3), which electrostatically adsorbed onto and chemically bonded to H2O2-oxidized pyrite surfaces, forming dense hydrophilic layers. The faster oxidation of pyrite resulted from its fundamental structural properties, specifically its high surface electronic activity and relatively weak Fe–S bonds, which collectively rendered it more susceptible to H2O2 attack, unlike chalcopyrite with its stable lattice and strong covalent Cu–S bonds. Consequently, the robust covalent Cu–S bonds of chalcopyrite effectively resisted oxidation, while its limited Fe3+ adsorption capacity favored the adsorption of sodium ethyl xanthate (SEX) at copper-active sites. As a result, the H2O2/Fe3+ system exerted only minimal depression on chalcopyrite, providing a sound theoretical basis and a practical technical strategy for the selective separation of copper-sulfide ores. Furthermore, the findings of this study contribute to the development of low-alkalinity, high-selectivity sulfide-ore processing methods, demonstrating considerable potential for industrial application.

1. Introduction

Copper is a strategically indispensable metal for modern industrial infrastructure, advanced technologies, and global economic security [1–2]. It is derived primarily from chalcopyrite (CuFeS2), the dominant copper sulfide mineral governing global resource extraction [3]. It frequently cooccurs with pyrite in sulfide deposits, necessitating effective separation for efficient chalcopyrite recovery [4–5]. Flotation remains the industrial benchmark for Cu–Fe sulfide separation, where depressants enhance pyrite hydrophilicity to achieve selective chalcopyrite enrichment [6]. Although lime (CaO) can achieve effective pyrite depression [7], its application poses significant operational challenges: reaction with pulp CO2 and sulfates generates insoluble CaCO3 and CaSO4 scales, respectively, which foul pipelines, pumps, and flotation cells, impairing efficiency and increasing maintenance requirements. The resulting high alkalinity accelerates the corrosion of metallic equipment, thereby reducing service life [8–9]. Notably, excessive lime suppresses target-metal recovery, compromising the extraction of copper and precious metals [10]. Consequently, contemporary depressant research prioritizes environmental compatibility, efficiency, and selectivity to address the inherent constraints of conventional toxic or low-selectivity reagents in complex ore processing [11–13]. Although organic alternatives (polysaccharides, chelators, and plant extracts) have garnered interest owing to their eco-friendliness and abundance, they are limited by their performance instability under fluctuating conditions, high dosage demands, and marginal economics [14–15]. While inorganic depressants maintain industrial prevalence owing to their cost-effectiveness and technological maturity, their toxicity, selectivity deficits, and environmental incompatibilities demand urgent resolution. Thus, the development of high-performance, eco-compatible pyrite depressants constitutes a critical pathway towards sustainable polymetallic sulfide mineral processing [16–17].

Flotation fundamentally relies on the selective adhesion of target minerals to bubbles, governed by surface hydrophobicity modulation. In this process, the pulp system comprises a complex multi-phase suspension typically containing dissolved metal ions originating from mineral dissolution and fluid-inclusion release [18]. These metal ions critically influence flotation performance through their multifaceted effects on pulp conditions.

SinoTechIntel Interactive Document Reader
Page 1–5 of Preview
100%
Download Full PDF

Loading authentic research manuscript (Pages 1–5)...

Sponsored Research Partner
Cite This Research Paper
Yubin Sun, Qian Zhang, Shuming Wen, Yongchao Miao, Ping Zhang (2025). Mechanistic insights into the synergistic depression of pyrite by H2O2 and Fe3+ in low-alkalinity Cu–S flotation separation. Journal of Mineral Metallurgy and Materials Science. https://doi.org/10.1007/s12613-025-3334-0
SinoTechIntel Academic & Legal Disclaimer

Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoTechIntel are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.

Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoTechIntel claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.

Frequently Asked Questions

What is the main finding of the study?

The study demonstrates that a combined depressant system of H2O2 and Fe3+ achieves efficient selective separation of chalcopyrite and pyrite under low-alkalinity conditions by synergistically depressing pyrite through oxidation and hydrophilic layer formation, while minimally affecting chalcopyrite.

How does the H2O2/Fe3+ system depress pyrite?

H2O2 selectively oxidizes pyrite surface disulfide to sulfate, promotes Fe2+ to Fe3+, and generates hydrophilic Fe–SO4/Fe–OOH/Fe–OH coatings. Fe3+ hydrolysis produces hydroxyl complexes that adsorb onto the oxidized pyrite surface, forming dense hydrophilic layers that destroy natural hydrophobicity.

Why is chalcopyrite minimally depressed?

Chalcopyrite has a stable lattice with strong covalent Cu–S bonds that resist oxidation, and its limited Fe3+ adsorption capacity favors the adsorption of sodium ethyl xanthate at copper-active sites, preserving its floatability.

What are the advantages over conventional lime depressants?

The H2O2/Fe3+ system operates at low alkalinity, avoiding scaling, corrosion, and recovery losses associated with lime, offering a more sustainable, high-selectivity alternative for industrial copper-sulfide flotation.

What flotation performance was achieved?

Under optimal conditions (0.025 vol% H2O2 and 2 × 10−5 mol/L Fe3+), the artificial mixed-mineral flotation test yielded a copper concentrate with a chalcopyrite grade of 30.51 wt% and chalcopyrite recovery above 88%.

Recommended Scientific Literature & Research Partners

Related Technical Papers & Translations

Research Paper
Design and optimization of a high-efficiency distillation process for cellulosic fuel ethanol integrated with thermal coupling and molecular sieve adsorption

Design and optimization of a high-efficiency distillation process for cellulosic fuel ethanol integrated with thermal coupling and molecular sieve adsorption

To address the challenges of high energy consumption and prominent costs in the traditional three-columns distillation process for cellulosic fuel ethanol, a distillation—molecular sieve coupling separation process is proposed. This process integrates a three-column (crude distillation column, first distillation column, second distillation column) system with a 3A molecular sieve adsorption deep dehydration unit. A thermal coupling network is constructed via differential pressure design (steam from medium/high-pressure columns as mutual heat sources, reboiler liquid waste heat for feed preheating), and molecular sieve adsorption conditions are optimized. The study first performs a thermodynamic consistency test on the ethanol—water system, determines optimal non-random two-liquid (NRTL) model binary interaction parameters via experimental data regression for Aspen Plus simulation. Aiming at minimum total annual cost (TAC), Aspen Plus is used to optimize process parameters (theoretical tray number, feed location, reflux ratio, side-draw position, etc.). Economic analysis shows this process reduces CO2 emission costs by 27.56%, TAC by 15.58% (to 5.123 × 106 USD·a-1), and increases ethanol purity to >99.6%, providing an effective solution for green, efficient separation.

Read Abstract & PDF
Research Paper
A cohesion loss model for determining residual strength of deep bedded sandstone

A cohesion loss model for determining residual strength of deep bedded sandstone

Rock residual strength, as an important input parameter, plays an indispensable role in proposing the reasonable and scientific scheme about stope design, underground tunnel excavation and stability evaluation of deep chambers. Therefore, previous residual strength models of rocks established were reviewed. And corresponding related problems were stated. Subsequently, starting from the effects of bedding and whole life-cycle evolution process, series of triaxial mechanical tests of deep bedded s

Read Abstract & PDF
Research Paper
Federated model with contrastive learning and adaptive control variates for human activity recognition

Federated model with contrastive learning and adaptive control variates for human activity recognition

Recent attention to privacy issues demands a communication-safe method for training human activity recognition (HAR) models on client activity data. Federated learning (FL) has become a compelling technique to facilitate model training between the server and clients while preserving data privacy. However, classical FL methods often assume independent and identically distributed (IID) data among clients. This assumption does not hold true in practical scenarios. Human activity in real-world scena

Read Abstract & PDF