Catalytic activation of peroxydisulfate by alfalfa-derived nitrogen self-doped porous carbon supported CuFeO2 for nimesulide degradation: Performance, mechanism and DFT calculation
[Display omitted] •CuFeO2/NPC composites were prepared at no nitrogen sources and reductant.•CuFeO2/NPC can effectively activate PDS to degrade nimesulide.•The OH, SO4- and 1O2 were the main reactive species for nimesulide degradation.•Mechanism of PDS activated by CuFeO2/NPC was clarified in detail...
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Veröffentlicht in: | Applied catalysis. B, Environmental Environmental, 2021-10, Vol.294, p.120247, Article 120247 |
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Sprache: | eng |
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•CuFeO2/NPC composites were prepared at no nitrogen sources and reductant.•CuFeO2/NPC can effectively activate PDS to degrade nimesulide.•The OH, SO4- and 1O2 were the main reactive species for nimesulide degradation.•Mechanism of PDS activated by CuFeO2/NPC was clarified in detail.•Degradation pathway was proposed combined with HPLC/MS spectra and DFT calculation.
The nitrogen self-doped porous carbons (NPCs) were prepared using alfalfa as raw material by pyrolysis method without additional nitrogen sources at various pyrolysis temperatures. The NPC supported CuFeO2 (CuFeO2/NPC) composites with large BET surface area (113.18 - 517.56 m2 g−1) were successfully prepared by hydrothermal method without reductant. The NPC prepared at 600 °C (NPC-600) supported CuFeO2 (CuFeO2/NPC-600) possessed the highest catalytic performance for activating peroxydisulfate (PDS) to degrade nimesulide compared to other CuFeO2/NPC composites. The OH, SO4- and 1O2 were the main reactive species for nimesulide degradation. The oxygen-containing functional groups, pyridinic N, graphitic N, and Fe3+/Fe2+ and Cu2+/Cu+ redox cycles were demonstrated to be extremely important in activating PDS to produce reactive species. The degradation pathway of nimesulide was proposed combined with the HPLC/MS spectra and DFT calculation, and the overall toxicity of nimesulide were effectively alleviated in CuFeO2/NPC-600+PDS system according to toxicity prediction. |
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ISSN: | 0926-3373 1873-3883 |
DOI: | 10.1016/j.apcatb.2021.120247 |