Simultaneous Removal of Heavy Metals And Bioelectricity Generation In Microbial Fuel Cell Coupled With Constructed Wetland: An Optimization Study On Substrate And Plant Types
| Autor: | Zhengkai Tao, Xu Dayong, Qingyun Zhang, Wang Lu, Liu Tingting |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Microbial fuel cell
biology Chemistry Hyacinth Bioelectric Energy Sources Health Toxicology and Mutagenesis Substrate (chemistry) Heavy metals General Medicine Wastewater biology.organism_classification Pollution Metal Electricity Iris pseudacorus visual_art Environmental chemistry Metals Heavy Wetlands visual_art.visual_art_medium Constructed wetland Environmental Chemistry Ecotoxicology Electrodes |
| DOI: | 10.21203/rs.3.rs-494707/v1 |
| Popis: | A microbial fuel cell coupled with constructed wetland (CW-MFC) was built to remove heavy metals (Zn and Ni) from sludge. The performance for the effects of substrates (granular activated carbon (GAC), ceramsite) and plants (Iris pseudacorus, Water hyacinth) towards the heavy metal treatment as well as electricity generation were systematically investigated. The CW-MFC systems possessed higher Zn and Ni removal efficiencies as compared to CW. The maximal removal rates of Zn (76.88%) and Ni (66.02%) were obtained in system CW-MFC based on GAC and Water hyacinth (GAC- and WH-CW-MFC). Correspondingly, the system produced the maximum voltage of 534.30 mV and power density of 70.86 mW·m-3, respectively. Plant roots and electrodes contributed supremely to the removal of heavy metals, especially for GAC- and WH-CW-MFC systems. The coincident enrichment rates of Zn and Ni reached 21.10% and 26.04% for plant roots, 14.48% and 16.50% for electrodes, respectively. A majority of the heavy metals on the sludge surface were confirmed as Zn and Ni. Furthermore, the high-valence Zn and Ni were effectively reduced to low-valence or elemental metals. This study provides a theoretical guidance for the optimal construction of CW-MFC and the resource utilization of sludge containing heavy metals. |
| Databáze: | OpenAIRE |
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