4.5 Article

Influence of Electrolyte Impurities from E-Waste Electrorefining on Copper Extraction Recovery

期刊

METALS
卷 11, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/met11091383

关键词

e-waste; electrolyte recycling; solvent extraction; chelating extractants; copper; impurities influence; metal distribution

资金

  1. Ministry of Education, Science and Technological Development of Republic of Serbia [451-03-9/2021-14/200288]

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By utilizing a specifically designed electrolyte and copper solvent extraction process, efficient copper recovery can be achieved, leading to a better understanding and design for the more effective valorization of metals from e-waste.
In order to reflect possible issues in future sole e-waste processing, an electrolyte of complex chemical composition reflecting system of sole e-waste processing was obtained by following a specially designed pyro-electrometallurgical method. The obtained non-standard electrolyte was further used for the purpose of comprehensive metal interference evaluation on the copper solvent extraction (SX) process. Optimization of the process included a variation of several process parameters, allowing determination of the effect of the most abundant and potentially the most influential impurities (Ni, Sn, Fe, and Zn) and 14 other trace elements. Moreover, comparing three commercial extractants of different active chelating groups, it was determined that branched aldoxime reagent is favorable for Cu extraction from the chemically complex system, as can be expected in future e-waste recycling. The results of this study showed that, under optimal conditions of 20 vol.% extractant concentration, feed pH 1.5, O/A ratio 3, and 10-min phase contact time, 88.1% of one stage Cu extraction was achieved. Co-extraction of the Fe, Zn, Ni, and Sn was under 8%, while Pb and trace elements were negligible. Optimal conditions (H2SO4 180 g/L, O/A = 2, and contact time 5 min) enabled 95.3% Cu stripping and under 6% of the most influential impurities. In addition, an impurity monitoring and distribution methodology enabled a better understanding and design of the process for the more efficient valorization of metals from e-waste.

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