Cargando…
Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway
This study aimed to explore the performance of denitrification deep-bed filter (DN-DBF) to treat municipal sewage for meeting a more stringent discharge standard of total nitrogen (TN) (10.0 mg L(–1)). A lab-scale DN-DBF was conducted to optimize operation parameters and reveal the microbiological m...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825488/ https://www.ncbi.nlm.nih.gov/pubmed/35154036 http://dx.doi.org/10.3389/fmicb.2021.811697 |
_version_ | 1784647219557695488 |
---|---|
author | Huang, Xiao Xing, Yixiao Wang, Hongjie Dai, Zhongyi Chen, Tiantian |
author_facet | Huang, Xiao Xing, Yixiao Wang, Hongjie Dai, Zhongyi Chen, Tiantian |
author_sort | Huang, Xiao |
collection | PubMed |
description | This study aimed to explore the performance of denitrification deep-bed filter (DN-DBF) to treat municipal sewage for meeting a more stringent discharge standard of total nitrogen (TN) (10.0 mg L(–1)). A lab-scale DN-DBF was conducted to optimize operation parameters and reveal the microbiological mechanism for TN removal. The results showed that more than 12.7% TN removal was obtained by adding methanol compared with sodium acetate. The effluent TN concentration reached 6.0–7.0 mg L(–1) with the optimal influent carbon and nitrogen ratio (C/N) and hydraulic retention time (HRT) (3:1 and 0.25 h). For the nitrogen removal mechanism, Blastocatellaceae_Subgroup_4 and norank_o_JG30-KF-CM45 were dominant denitrification floras with an abundance of 6–10%. Though large TN was removed at the top layer of DN-DBF, microbial richness and diversity at the middle layer were higher than both ends. However, the relative abundance of nitrite reductase enzymes (EC1.7.2.1) gradually increases as the depth increases; conversely, the relative abundance of nitrous oxide reductase gradually decreased. |
format | Online Article Text |
id | pubmed-8825488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88254882022-02-10 Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway Huang, Xiao Xing, Yixiao Wang, Hongjie Dai, Zhongyi Chen, Tiantian Front Microbiol Microbiology This study aimed to explore the performance of denitrification deep-bed filter (DN-DBF) to treat municipal sewage for meeting a more stringent discharge standard of total nitrogen (TN) (10.0 mg L(–1)). A lab-scale DN-DBF was conducted to optimize operation parameters and reveal the microbiological mechanism for TN removal. The results showed that more than 12.7% TN removal was obtained by adding methanol compared with sodium acetate. The effluent TN concentration reached 6.0–7.0 mg L(–1) with the optimal influent carbon and nitrogen ratio (C/N) and hydraulic retention time (HRT) (3:1 and 0.25 h). For the nitrogen removal mechanism, Blastocatellaceae_Subgroup_4 and norank_o_JG30-KF-CM45 were dominant denitrification floras with an abundance of 6–10%. Though large TN was removed at the top layer of DN-DBF, microbial richness and diversity at the middle layer were higher than both ends. However, the relative abundance of nitrite reductase enzymes (EC1.7.2.1) gradually increases as the depth increases; conversely, the relative abundance of nitrous oxide reductase gradually decreased. Frontiers Media S.A. 2022-01-26 /pmc/articles/PMC8825488/ /pubmed/35154036 http://dx.doi.org/10.3389/fmicb.2021.811697 Text en Copyright © 2022 Huang, Xing, Wang, Dai and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Huang, Xiao Xing, Yixiao Wang, Hongjie Dai, Zhongyi Chen, Tiantian Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway |
title | Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway |
title_full | Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway |
title_fullStr | Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway |
title_full_unstemmed | Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway |
title_short | Nitrogen Advanced Treatment of Urban Sewage by Denitrification Deep-Bed Filter: Removal Performance and Metabolic Pathway |
title_sort | nitrogen advanced treatment of urban sewage by denitrification deep-bed filter: removal performance and metabolic pathway |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825488/ https://www.ncbi.nlm.nih.gov/pubmed/35154036 http://dx.doi.org/10.3389/fmicb.2021.811697 |
work_keys_str_mv | AT huangxiao nitrogenadvancedtreatmentofurbansewagebydenitrificationdeepbedfilterremovalperformanceandmetabolicpathway AT xingyixiao nitrogenadvancedtreatmentofurbansewagebydenitrificationdeepbedfilterremovalperformanceandmetabolicpathway AT wanghongjie nitrogenadvancedtreatmentofurbansewagebydenitrificationdeepbedfilterremovalperformanceandmetabolicpathway AT daizhongyi nitrogenadvancedtreatmentofurbansewagebydenitrificationdeepbedfilterremovalperformanceandmetabolicpathway AT chentiantian nitrogenadvancedtreatmentofurbansewagebydenitrificationdeepbedfilterremovalperformanceandmetabolicpathway |