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DOI: https://doi.org/10.4491/eer.2020.526
The removal performance of nitrates in the novel 3D-BERS with GAC and diversity of immobilized microbial communities treating nitrate-polluted water: Effects of pH and COD/NO3- -N ratio
Mahdi Hassan1,2, Guangcan Zhu1,2,, Zhonglian Yang1,2, Yongze Lu1,2, Huang Shang1,2, Yan Lang1,2, and Liying Gong1,2
1School of Energy and Environment, Southeast University, Nanjing 210096, Jiangsu, China
2Key Laboratory of Environmental Medicine Engineering of the Ministry of Education, Southeast University, Nanjing 210096, Jiangsu, China
Corresponding Author: Guangcan Zhu ,Tel: +86-18912966396 , Email: gc-zhu@seu.edu.cn
Received: September 20, 2020;  Accepted: February 15, 2021.
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In this work, a three-dimensional bioelectrochemical reactor system (3D-BERs) with granular activated carbon (GAC) was utilized to study the feasibility of simultaneous removal of nitrates by autotrophic-heterotrophic denitrification process under different pH levels. In this present study, it was found that when the influent COD/ NO3- -N ratio ranged between 1.5 and 3.5, both autotrophic and heterotrophic denitrifying microorganisms played an important role in denitrification. The experimental results demonstrated that the highest removal efficiency of nitrates under the optimum COD/NO3--N ratio of 1.5 (98.62%) was achieved with an initial pH of 7.5 ± 0.4. Likewise, when the COD/NO3--N ratio of 3.5, the nitrates removal efficiency (81.12%) was achieved with an initial pH of 8.2 ± 0.3, respectively. Batch denitrification processes followed zero-order kinetics at various NO3--N concentrations obtained. The bacterial community structure and relative abundance of bacteria changed at the level of genes and the phylum of immobilized GAC particles. Moreover, the diversity of bacterial composition enhanced the removal of NO3--N at the inner surface (IS), and bottom surface (BS) of immobilized GAC carriers were Gammaproteobacteria, Bacilli, Proteobacteria, and Thauera. In general, this technique is more effective for enhancing the denitrification process in the 3D-BER system.
Keywords: Bacterial Community | Denitrification | Immobilized Granular activated carbon | Kinetic Models | 3D-BER system
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