Biochemical Engineering Journal, Год журнала: 2024, Номер 215, С. 109618 - 109618
Опубликована: Дек. 14, 2024
Язык: Английский
Biochemical Engineering Journal, Год журнала: 2024, Номер 215, С. 109618 - 109618
Опубликована: Дек. 14, 2024
Язык: Английский
Environmental Pollution, Год журнала: 2025, Номер unknown, С. 126095 - 126095
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Environmental Research, Год журнала: 2024, Номер 258, С. 119456 - 119456
Опубликована: Июнь 19, 2024
Язык: Английский
Процитировано
3The Science of The Total Environment, Год журнала: 2024, Номер 951, С. 175457 - 175457
Опубликована: Авг. 11, 2024
Язык: Английский
Процитировано
3Bioresource Technology, Год журнала: 2024, Номер 406, С. 130961 - 130961
Опубликована: Июнь 12, 2024
This study investigates the potential of humic substances (HS) and graphene oxide (GO), as extracellular electron acceptors (EEA) for nitrification, aiming to explore alternatives sustain this process in wastewater treatment systems. Experimental results demonstrate conversion ammonium nitrate (up 87 % conversion) coupled reduction either HS or GO by anaerobic consortia. Electron balance confirmed contribution oxidation. Tracer analysis incubations performed with 15NH4+ demonstrated 15NO3- main product a minor fraction ending 29N2. Phylogenetic identified Firmicutes, Euryarchaeota, Chloroflexi microbial lineages potentially involved anoxic nitrification linked reduction. introduces new avenue research which carbon-based materials electron-accepting capacity may support oxidation ammonium, instance bioelectrochemical systems anodes could novel process.
Язык: Английский
Процитировано
1Environmental Research, Год журнала: 2024, Номер 262, С. 119778 - 119778
Опубликована: Авг. 22, 2024
Язык: Английский
Процитировано
1Frontiers in Marine Science, Год журнала: 2024, Номер 11
Опубликована: Сен. 4, 2024
Achieving carbon neutrality in wastewater treatment plants relies heavily on mainstream anaerobic ammonia oxidation. However, the stability of this process is often compromised, largely due to significant influence microbial morphology. This study analyzed 208 samples using bioinformatics and machine learning (ML) across four different morphologies: Suspended Sludge (SS), Biofilm, Granular (GS) Integrated Fixed-film Activated (IFAS). The results revealed IFAS’s notably complex stable community structure, along with identification endemic genera common among morphologies. Through co-occurrence network analysis, interaction between microorganisms various was displayed. Utilizing Extreme Gradient Boosting (XGBoost) model, a ML modeling framework based microbiome data developed. ML-based feature importance analysis identified LD-RB-34 as key organism SS BSV26 an important bacterium IFAS. Additionally, functional bacteria KF-JG30-C25 occupied higher proportion GS, Unclassified Brocadiaceae Biofilm. Furthermore, dissolved oxygen, temperature pH were primary factors determining communities influencing anammox activity. Overall, deepens our understanding bacterial enhance nitrogen removal.
Язык: Английский
Процитировано
0Biochemical Engineering Journal, Год журнала: 2024, Номер 215, С. 109618 - 109618
Опубликована: Дек. 14, 2024
Язык: Английский
Процитировано
0