Iron-cobalt loading carbon nitride bimetallic catalyst activates peroxymonosulfate for bisphenol A degradation
In order to reduce metal leaching loss and carbon emissions, an active Peroxymonosulfate (PMS) catalyst (Fe/Co–CN) was prepared using a one-step thermal polycondensation method for the efficient treatment of wastewater containing bisphenol A (BPA). Fe/Co–CN has a low metal leaching (<1 mg/L) and has good catalytic degradation performance for BPA. The degradation efficiency was 90.7% in 5 min and ∼100% in 10 min, which is much higher than single metal-loaded Fe–CN (77.2%) and Co–CN (73.2%). Nonradical species dominated by 1 O 2 and high-valent species were the main reactive oxygen species that degraded BPA in the Fe/Co–CN/PMS system. By strictly controlling the energy consumption during the synthesis and application of Fe/Co–CN, lower carbon emissions have been achieved than most catalysts reported. This achievement is of great significance for applying advanced oxidation methods to treat organic micro-pollutants and provides reference for the calculation of PMS catalysts carbon emissions. • Fe/Co–CN has low metal leaching (<1 mg/L) and high BPA degradation performance. • 1 O 2 and high-valent species were the main ROSs in Fe/Co–CN/PMS system. • Fe/Co–CN has low carbon emissions in the synthesis and application process. • The calculation formula for carbon emissions has been proposed.
Authors
- Yanbo Zhou (ORCID: https://orcid.org/0000-0003-1756-7073)
- Jinjie Lu (ORCID: https://orcid.org/0000-0003-0239-4253)
- Jing Li
- Xinbai Jin
Institutions
- East China University of Science and Technology (CN)
- Jinggangshan University (CN)
- Dongfang Electric Corporation (China) (CN)
- Nano Carbon (Poland) (PL)
Publication Details
- Journal
- Journal of Cleaner Production
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1016/j.jclepro.2024.143392
- Citations
- 23
- Primary Topic
- Advanced oxidation water treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.64
Funders
- National Natural Science Foundation of China
- National Aerospace Science Foundation of China
- Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing