All-Solid-State Piezocatalytic Destruction of Dibenzofuran via Atomic Hydrogen Abstraction and Mechano-Radicals in Hazardous Solid Matrices
Developing a facile and efficient method of dioxin removal from hazardous solid waste presents a compelling yet challenging avenue. Herein, an all-solid-state piezoelectric-mediated strategy is proposed for the piezocatalytic destruction of dioxins induced by ball milling (BM) under ambient and solvent-free conditions. Dioxin-like compounds of harmful solid substances including fly ash (FA), sediment, and soil can be effectively eliminated, filling the gap between dioxin-contaminated matrices purification and piezocatalytic technology. Using the dibenzofuran as a dioxin model pollutant, an optimized removal efficiency up to 100% (below the detection limit) in the FA of municipal waste incineration was obtained after stainless-steel BM with the rotary speed of 600 rpm. This process was affected by piezocatalyst species, moisture content, ball-sample mass ratio, and ball size. Under the initiation of ball collisions, a surface piezopotential of 200 mV on commercially tetragonal barium titanate with a piezoelectric coefficient of 195.3 pm/V appeared, enabling favorable charge transfer between the interface. A unique mechanism of combining mechanochemical activation, hydrogen-atom abstraction, and mechano-radicals attack is ascribed to the elimination of dibenzofuran in the all-solid-state system. Multiple reactions such as cleavage, hydrogenation, rearrangement, and mineralization/coupling were subsequently involved. This approach demonstrates a promising way of destructing dioxins in hazardous solid waste without the need of additional solvent, heating, or pressurization.
Authors
- Wen Liu (ORCID: https://orcid.org/0000-0002-6787-2431)
- Huixuan Zhang (ORCID: https://orcid.org/0000-0001-7914-192X)
- Peng Qian (ORCID: https://orcid.org/0000-0002-2123-6173)
- Chencheng Qin
- Zhiyan Feng
- Mingshan Zhu (ORCID: https://orcid.org/0000-0002-5926-5383)
- Zichen Shangguan
- Hou Wang
- Xiaoai Guo
- Zihan Shu
- Xingzhong Yuan (ORCID: https://orcid.org/0000-0001-6226-4085)
- Miao Li (ORCID: https://orcid.org/0000-0003-3720-5336)
- Lin Liu (ORCID: https://orcid.org/0000-0001-7558-7289)
- Aoqiang Shu
- Luna Zhao
- Hui Zeng (ORCID: https://orcid.org/0009-0000-0061-3171)
Institutions
- Jinan University (CN)
- Hunan University (CN)
- Peking University (CN)
- State Key Laboratory of Pollution Control and Resource Reuse (CN)
Publication Details
- Journal
- Environmental Science & Technology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1021/acs.est.5c01314
- Citations
- 1
- Primary Topic
- Forensic Fingerprint Detection Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.37
Funders
- National Natural Science Foundation of China
- Hunan Provincial Science and Technology Department
- Natural Science Foundation of Hunan Province
- Fundamental Research Funds for the Central Universities