Yihan Wang , Zhenjun Wu , Qingwen Qin , Lijie Chen , Ming Cai , Xin Chen , Yutong Liu , Ziang Su , Xinyi Fan , Lang Cheng
{"title":"硝化反硝化步进序批式反应器系统脱氮性能及进料策略优化","authors":"Yihan Wang , Zhenjun Wu , Qingwen Qin , Lijie Chen , Ming Cai , Xin Chen , Yutong Liu , Ziang Su , Xinyi Fan , Lang Cheng","doi":"10.1016/j.bej.2025.109761","DOIUrl":null,"url":null,"abstract":"<div><div>A 90-day experiment was conducted to optimise the stability of Nitritation Denitrification and improve COD utilisation. The results showed that Nitritation Denitrification in a step-feed sequencing batch reactor using the influent-anoxic/aerobic (IA/O) mode can achieve efficient and stable nitrogen removal at C/N = 4. The removal efficiencies of NH<sub>4</sub><sup>+</sup>-N and total inorganic nitrogen (TIN) were 95 % and 85.5 % respectively. Batch experiments were conducted that an unlimited increase in the number of step feeds in a limited time would affect the nitrogen removal. Extending the duration of the aerobic phase inhibited <em>Flavobacterium</em> and favoured the relative abundance of the <em>nirS</em> and <em>nirK</em> genes. This study may provide a reference for optimising the Nitritation Denitrification process.</div></div>","PeriodicalId":8766,"journal":{"name":"Biochemical Engineering Journal","volume":"220 ","pages":"Article 109761"},"PeriodicalIF":3.7000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nitrogen removal performance and feeding strategy optimisation in a nitritation denitrification step-feed sequencing batch reactor system\",\"authors\":\"Yihan Wang , Zhenjun Wu , Qingwen Qin , Lijie Chen , Ming Cai , Xin Chen , Yutong Liu , Ziang Su , Xinyi Fan , Lang Cheng\",\"doi\":\"10.1016/j.bej.2025.109761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A 90-day experiment was conducted to optimise the stability of Nitritation Denitrification and improve COD utilisation. The results showed that Nitritation Denitrification in a step-feed sequencing batch reactor using the influent-anoxic/aerobic (IA/O) mode can achieve efficient and stable nitrogen removal at C/N = 4. The removal efficiencies of NH<sub>4</sub><sup>+</sup>-N and total inorganic nitrogen (TIN) were 95 % and 85.5 % respectively. Batch experiments were conducted that an unlimited increase in the number of step feeds in a limited time would affect the nitrogen removal. Extending the duration of the aerobic phase inhibited <em>Flavobacterium</em> and favoured the relative abundance of the <em>nirS</em> and <em>nirK</em> genes. This study may provide a reference for optimising the Nitritation Denitrification process.</div></div>\",\"PeriodicalId\":8766,\"journal\":{\"name\":\"Biochemical Engineering Journal\",\"volume\":\"220 \",\"pages\":\"Article 109761\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biochemical Engineering Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1369703X25001354\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369703X25001354","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Nitrogen removal performance and feeding strategy optimisation in a nitritation denitrification step-feed sequencing batch reactor system
A 90-day experiment was conducted to optimise the stability of Nitritation Denitrification and improve COD utilisation. The results showed that Nitritation Denitrification in a step-feed sequencing batch reactor using the influent-anoxic/aerobic (IA/O) mode can achieve efficient and stable nitrogen removal at C/N = 4. The removal efficiencies of NH4+-N and total inorganic nitrogen (TIN) were 95 % and 85.5 % respectively. Batch experiments were conducted that an unlimited increase in the number of step feeds in a limited time would affect the nitrogen removal. Extending the duration of the aerobic phase inhibited Flavobacterium and favoured the relative abundance of the nirS and nirK genes. This study may provide a reference for optimising the Nitritation Denitrification process.
期刊介绍：
The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology.
The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields:
Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics
Biosensors and Biodevices including biofabrication and novel fuel cell development
Bioseparations including scale-up and protein refolding/renaturation
Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells
Bioreactor Systems including characterization, optimization and scale-up
Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization
Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals
Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release
Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites
Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation
Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis
Protein Engineering including enzyme engineering and directed evolution.
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