Ammonium Removal from Domestic Wastewater Using Selective Battery Electrodes
Type
ArticleKAUST Grant Number
OSR-2017-CPF-2907-02Date
2018-08-13Online Publication Date
2018-08-13Print Publication Date
2018-09-11Permanent link to this record
http://hdl.handle.net/10754/629798
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Conventional technologies for ammonium removal from wastewaters are based on biological conversion to nitrogen gas, eliminating the possibility for ammonium recovery. A new electrochemical approach was developed here to selectively remove ammonium using two copper hexacyanoferrate (CuHCF) battery electrodes separated by an anion exchange membrane, at low applied voltages (0.1 to 0.3 V). The CuHCF battery electrodes removed NH4+ from a synthetic wastewater with a selectivity >5 (i.e., percent removed of NH4+/percent removed of Na+) when operated with a 0.1 V applied voltage, despite the much higher initial Na+ concentration in the sample (20 mM) than NH4+ (5 mM). In contrast, we observed only negligible selective removal of NH4+ over Na+ (<2) when using nonselective electrodes or ion-selective membranes (10 mM Na+, 5 mM NH4+, 0.1 V). The selectivity further increased to 9 when using equimolar concentrations of NH4+ and Na+ (10 mM). With an actual domestic wastewater, the CuHCF electrodes removed 85% of NH4+ (3.4 to 0.5 mM) with a selectivity >4 versus Na+ in the presence of other competing cations. These results demonstrate that CuHCF electrodes can be used to selectively remove NH4+ from various waters containing multiple ions.Citation
Kim T, Gorski CA, Logan BE (2018) Ammonium Removal from Domestic Wastewater Using Selective Battery Electrodes. Environmental Science & Technology Letters 5: 578–583. Available: http://dx.doi.org/10.1021/acs.estlett.8b00334.Sponsors
We thank Dr. Ruggero Rossi for the wastewater analysis. This research was supported by the National Science Foundation through CBET-1464891, the King Abdullah University of Science and Technology (KAUST; OSR-2017-CPF-2907-02), and Penn State University.Publisher
American Chemical Society (ACS)ae974a485f413a2113503eed53cd6c53
10.1021/acs.estlett.8b00334