Comprehensive physicochemical characterization and property-process matrix for valorizing copper extraction wastes: Enabling technology selection and screening-level resource classification

IF 7.3 Q2 ENGINEERING, ENVIRONMENTAL
Cleaner Engineering and Technology Pub Date : 2026-08-01 Epub Date: 2026-07-25 DOI:10.1016/j.clet.2026.101281
Jayati Priya, Manish Kumar Jain, Navneet Singh Randhawa
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引用次数: 0

Abstract

A comprehensive characterization of copper extraction wastes, namely, tailings, electrostatic precipitator (ESP) dust, and slag, was conducted to establish a baseline for selecting efficient metal recovery flowsheets at a screening level. Analytical techniques, including ICP-OES, XRD, and SEM-EDS, revealed distinct properties for each waste stream from a single plant of global relevance. ESP dust was identified as a critical metal-rich stream with high concentrations of copper (17.3%) and cobalt (360 mg/kg), but also poses a significant environmental hazard because cadmium leaching exceeds regulatory limits (2.12 mg/L). Its fine particle size and soluble copper minerals make it ideally suited for hydrometallurgical processing, provided that integrated hazardous-element removal is included. Conversely, slag's refractory fayalite matrix and entrapped copper phases suggest alternative routes, such as pyrometallurgical re-smelting or vitrification. Tailings, with their acidic pH and low-grade, poorly liberated metals, indicate potential for bioleaching. This study provides a screening-level property-process matrix that links material characteristics to hypothesized recovery pathways, however, full classification would require quantitative studies including life-cycle assessment (E-axis), pilot-scale validation (F-axis), and statistically robust volume estimation (G-axis). The findings provide a scientifically justified framework for converting complex metallurgical wastes into valuable secondary resources while highlighting the need for further dynamic testing.

Abstract Image

综合物理化学表征和产铜废物的性质-过程矩阵:使能技术选择和筛选级资源分类
对铜提取废弃物,即尾矿、电除尘器粉尘和矿渣进行了综合表征,为在筛选层面选择高效的金属回收流程建立了基准。分析技术,包括ICP-OES, XRD和SEM-EDS,揭示了来自全球相关的单个工厂的每个废物流的不同性质。电除尘器粉尘被确定为具有高浓度铜(17.3%)和钴(360 mg/kg)的临界富金属流,但由于镉浸出超过规定限值(2.12 mg/L),也会造成严重的环境危害。它的细粒度和可溶性铜矿物使其非常适合湿法冶金处理,前提是包括综合危险元素去除。相反,渣的难熔铁矾石基体和包裹的铜相表明了其他途径,如火法再冶炼或玻璃化。尾矿具有酸性pH值和低品位、难游离金属,具有生物浸出的潜力。该研究提供了一个筛选级别的属性过程矩阵,将材料特性与假设的回收途径联系起来,然而,完整的分类将需要定量研究,包括生命周期评估(e轴)、中试规模验证(f轴)和统计上可靠的体积估计(g轴)。这些发现为将复杂的冶金废物转化为有价值的二次资源提供了一个科学合理的框架,同时强调了进一步动态测试的必要性。
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来源期刊
Cleaner Engineering and Technology
Cleaner Engineering and Technology Engineering-Engineering (miscellaneous)
CiteScore
9.80
自引率
0.00%
发文量
218
审稿时长
21 weeks
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