Green Recovery of Precious Metals from E‐waste via Autocatalytic Leaching

The escalating global demand for precious metals necessitates sustainable recycling from secondary resources like electronic waste. Conventional leaching techniques, however, remain constrained by their dependence on volatile solvents, external catalysts, and energy-intensive operations. Herein, we introduce an autocatalytic leaching strategy employing a benign aqueous solution of peroxymonosulfate (PMS) and potassium chloride (KCl), which operates without any external catalyst. This system achieves near-quantitative dissolution (>98.2%) of gold (Au) within 20 min at ambient temperature. The process is autonomously driven by the precious metals themselves, which activate PMS and Cl<sup>-</sup> to generate singlet oxygen (<sup>1</sup>O<sub>2</sub>) and trace hypochlorous acid (HOCl), acting in synergy to oxidize Au to higher valent states and facilitate chlorine-coordinated extraction. An economic analysis confirms the system's compelling viability when applying to real e-waste, showing drastically reduced energy consumption (∼62.5%) and reagent costs (∼93.2%). This study provides key insights into the role of autocatalytically generated active species in metal leaching and offers a sustainable pathway toward resource circularity.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-11-28
DOI
https://doi.org/10.1002/anie.202523660
Citations
1
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
1.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green Recovery of Precious Metals from E‐waste via Autocatalytic Leaching

Xiaoyue Zhou, Gaixiu Yang, Zhiwei Zhou, Shujia Wang et al.
1 citations
Angewandte Chemie International Edition
Recycling and Waste Management Techniques
1.00
article

Green Recovery of Precious Metals from E‐waste via Autocatalytic Leaching

Xiaoyue Zhou, Gaixiu Yang, Zhiwei Zhou, Shujia Wang, Renli Yin, Chenghao Jia, Yan Chen, Jing Gu, Haoran Yuan
article en
1 citations

Abstract

The escalating global demand for precious metals necessitates sustainable recycling from secondary resources like electronic waste. Conventional leaching techniques, however, remain constrained by their dependence on volatile solvents, external catalysts, and energy-intensive operations. Herein, we introduce an autocatalytic leaching strategy employing a benign aqueous solution of peroxymonosulfate (PMS) and potassium chloride (KCl), which operates without any external catalyst. This system achieves near-quantitative dissolution (>98.2%) of gold (Au) within 20 min at ambient temperature. The process is autonomously driven by the precious metals themselves, which activate PMS and Cl<sup>-</sup> to generate singlet oxygen (<sup>1</sup>O<sub>2</sub>) and trace hypochlorous acid (HOCl), acting in synergy to oxidize Au to higher valent states and facilitate chlorine-coordinated extraction. An economic analysis confirms the system's compelling viability when applying to real e-waste, showing drastically reduced energy consumption (∼62.5%) and reagent costs (∼93.2%). This study provides key insights into the role of autocatalytically generated active species in metal leaching and offers a sustainable pathway toward resource circularity.

Angewandte Chemie International EditionVol. 65(4)
South China Agricultural University (CN), Ministry of Ecology and Environment (CN), Guangzhou Institute of Energy Conversion (CN), South China University of Technology (CN)
Openalex Percentile: Top 17%
Recycling and Waste Management Techniques
1.00
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.