{"title":"Comprehensive physicochemical characterization and property-process matrix for valorizing copper extraction wastes: Enabling technology selection and screening-level resource classification","authors":"Jayati Priya, Manish Kumar Jain, Navneet Singh Randhawa","doi":"10.1016/j.clet.2026.101281","DOIUrl":null,"url":null,"abstract":"<div><div>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<strong>.</strong> 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.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"33 ","pages":"Article 101281"},"PeriodicalIF":7.3000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666790826001400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/7/25 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
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.