Mechanochemical Reduction of Perchlorate under Ambient Conditions

Perchlorate (ClO4–) is a widespread contaminant that poses a significant threat to human health. Its reductive removal is typically challenging, requiring carefully engineered catalysts or harsh reaction conditions. In this study, we report a catalyst-free process for ClO4– reduction that operates without the need for heating or pressurization. By leveraging the hot-spot theory in mechanochemical ball milling, transient high temperatures, estimated as 400–500 °C, are generated at localized impact sites, enabling the reduction of ClO4– by iron from stainless steel (SS) milling balls. The ball milling approach proves highly effective for ClO4– reduction in both solid and aqueous phases. Notably, the ClO4– reduction kinetics in water are 3 orders of magnitude faster than those reported in previous studies using zerovalent iron as the reductant. The process also demonstrated strong durability in the presence of common competitive anions. Additionally, by combining theoretical modeling and scale-up treatment, we confirmed that the proof-of-concept developed on a bench-scale planetary ball mill is effectively transferable to pilot-scale tumbler ball mills, featuring the scalability and practical applicability of this new reaction principle.

Authors

Institutions

Publication Details

Journal
ACS ES&T Engineering
Published
2025-05-07
DOI
https://doi.org/10.1021/acsestengg.5c00150
Citations
1
Primary Topic
Chemical Analysis and Environmental Impact
Type
article
Field-Weighted Citation Impact
1.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanochemical Reduction of Perchlorate under Ambient Conditions

Ming‐Han Tsai, Yunqiao Guan, Chihpin Huang, Nanyang Yang et al.
1 citations
ACS ES&T Engineering
Chemical Analysis and Environmental Impact
1.20
article

Mechanochemical Reduction of Perchlorate under Ambient Conditions

Ming‐Han Tsai, Yunqiao Guan, Chihpin Huang, Nanyang Yang, Victor Melgarejo Cazares, Yang Yang, Jinyuan Zhu
article en
1 citations

Abstract

Perchlorate (ClO4–) is a widespread contaminant that poses a significant threat to human health. Its reductive removal is typically challenging, requiring carefully engineered catalysts or harsh reaction conditions. In this study, we report a catalyst-free process for ClO4– reduction that operates without the need for heating or pressurization. By leveraging the hot-spot theory in mechanochemical ball milling, transient high temperatures, estimated as 400–500 °C, are generated at localized impact sites, enabling the reduction of ClO4– by iron from stainless steel (SS) milling balls. The ball milling approach proves highly effective for ClO4– reduction in both solid and aqueous phases. Notably, the ClO4– reduction kinetics in water are 3 orders of magnitude faster than those reported in previous studies using zerovalent iron as the reductant. The process also demonstrated strong durability in the presence of common competitive anions. Additionally, by combining theoretical modeling and scale-up treatment, we confirmed that the proof-of-concept developed on a bench-scale planetary ball mill is effectively transferable to pilot-scale tumbler ball mills, featuring the scalability and practical applicability of this new reaction principle.

ACS ES&T EngineeringVol. 5(8)
National Yang Ming Chiao Tung University (TW), Clarkson University (US), Institute of Environmental Engineering (PL)
National Science and Technology Council, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Climate action
Openalex Percentile: Top 23%
Chemical Analysis and Environmental Impact
1.20
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.