Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
---|---|---|
Article Number | 04024 | |
Number of page(s) | 4 | |
Section | Environmental Protection and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202019404024 | |
Published online | 15 October 2020 |
Study of nitrate contaminants removal from groundwater on copper modified BDD electrode
1 Key Laboratory of Biotechnology and Bioresources Utilization, Ministry of Education, Dalian Minzu University, 18 Liaohe Road West, Dalian Economic and Technological Development Zone, Dalian 116600, China
2 College of Environment and Resources, Dalian Minzu University, Dalian, 116600, China
3 School of Water Resources and Environment, China University of Geosciences (Beijing), 29 Xue Yuan Road, Haidian District, Beijing 100083, China
4 Department of Chemistry, Keio University, 3-14-1 Hiyoshi, Yokohama 223-8522, Japan
5 JST-ACCEL, 3-14-1 Hiyoshi, Yokohama 223-8522, Japan
* Corresponding author: einaga@chem.keio.ac.jp
The electrochemical nitrate reduction by using boron-doped diamond (BDD) and copper modified boron-doped diamond (Cu-BDD) electrodes was investigated at various potentials. Nitrate reduction efficiency and the products distribution was strongly dependent on the applied potential for both electrodes. The highest nitrate reduction efficiency of 77% was obtained at −2.0 V (vs. Ag/AgCl) by using Cu-BDD. Compared with BDD electrode, nitrate reduction on Cu-BDD electrode occurred at more positive potential. Copper oxides formed on BDD surface efficiently promoted enhanced conductivity of electrode to promote electrons transfer during nitrate reduction process. Meanwhile, the catalytic ability of copper was also conductive to the nitrate transformation. Therefore, the developed Cu-BDD would be a promising approach for efficient nitrate removal from groundwater.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.