Enhanced Selective Electrosorption of Nitrate from Wastewater by Controllably Doping Nitrogen into Porous Carbon with Micropores
The biological NO3 – removal process might be accompanied by high CO2 emissions and operation costs. Capacitive deionization (CDI) has been widely studied as a very efficient method to purify water. Here, a porous carbon material with a tunable nitrogen configuration was developed. Characterization...
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Published in | Langmuir Vol. 40; no. 12; pp. 6353 - 6362 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Chemical Society
26.03.2024
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Online Access | Get full text |
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Summary: | The biological NO3 – removal process might be accompanied by high CO2 emissions and operation costs. Capacitive deionization (CDI) has been widely studied as a very efficient method to purify water. Here, a porous carbon material with a tunable nitrogen configuration was developed. Characterization and density functional theory calculation show that nitrogenous functional groups have a higher NO3 – binding energy than Cl–, SO4 2–, and H2PO4 –. In addition, the selectivity of NO3 – is improved after the introduction of micropores by using the pore template. The NO3 – ion removal and selectivity of MN-C-12 are 4.57 and 3.46–5.42 times that of activated carbon (AC), respectively. The high NO3 – selectivity and electrosorption properties of MN-C-12 (the highest N content and micropore area) are due to the synergistic effect of the affinity of nitrogen functional groups to NO3 – and microporous ion screening. A CDI unit for the removal of nitrogen from municipal wastewater was constructed and applied to treat wastewater meeting higher discharge standards of A (N: 15 mg L–1) and B (N: 20 mg L–1) ((GB18918–2002), China). This work provides new insights into enhanced carbon materials for the selective electrosorption of wastewater by CDI technology. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0743-7463 1520-5827 |
DOI: | 10.1021/acs.langmuir.3c03934 |