Simultaneous nitritation, denitritation and phosphorus removal in an algal-bacterial consortium system treating low-strength mariculture wastewater

Liu, Jiajing; Zhang, Qi; Xu, Guangjing; Gao, Fan

doi:10.1016/j.jwpe.2022.103056

Cited by 10 publications

(2 citation statements)

References 41 publications

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“…In both Stages 1 and 2, NH 4 + -N was mainly (61%-82%) removed by nitrification-denitrification process in both reactors, while 18%-39% of NH 4 + -N was removed by algal assimilation (Table 1). Similar results were observed from other algal-bacterial granular reactor studies (Liu et al 2022a, Wang et al 2023). In this study, R2-High had a higher nitrification rate than R1-Low in both Stages 1 and 2, while R1-Low had a higher percentage of NH 4 + -N removed by algal assimilation and a higher Chlorophyll content (15 mg/g VSS and 13 mg/g VSS for Stage 1 and Stage 2 respectively) (Fig.…”

Section: Resultssupporting

confidence: 91%

Insight into the Impact of Air Flow Rate on Algal-Bacterial Granules: Reactor Performance, Hydrodynamics by Computational Fluid Dynamics (CFD) and Microbial Community Analysis

Zhang,

El-Sayed,

Zhang

et al. 2024

Preprint

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Algal-bacterial granules have been drawing attention in wastewater treatment due to their rapid settling ability and efficient nutrient removal performance. This study evaluated the impact of air flow rates on nitrogen removal and the formation of algal-bacterial granules in domestic wastewater treatment. The highest nitrogen removal efficiency was achieved by operating with two separate feedings and the addition of an external carbon source. The higher air flow rate resulted in a higher nitrification rate and produced smaller and more compact granules on average. However, increasing the air flow rate did not necessarily increase extracellular polymeric substances (EPS) production. Computational Fluid Dynamics (CFD) simulations revealed that mechanical mixing was the primary source of shear force. Increasing the air flow rate from 0.2 LPM to 0.5 LPM only yielded a 12% increment in the volume-averaged strain rate. Further analysis of microbial communities showed that changes in bioreactor operation, especially sodium acetate addition and aerations, shifted the microbial community composition. The sodium acetate addition led to the increase of microbial diversity and the relative abundance of denitrifiers such as Thauera, while the aeration caused the increasing relative abundances of nitrogen-related genera (such as Nitrospira) and the decreasing relative abundances of cyanobacteria and Chlorella in the long-term operation of the photobioreactors. Moreover, the decrease in total abundance of grazers and pathogens along with the operation, including Chytridiomycetes, Sessilida, and Operculariidae, might result from the shear force and the decrease of prokaryotic species, such as Chlorella spp..

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Section: Resultssupporting

confidence: 91%

Insight into the Impact of Air Flow Rate on Algal-Bacterial Granules: Reactor Performance, Hydrodynamics by Computational Fluid Dynamics (CFD) and Microbial Community Analysis

Zhang,

El-Sayed,

Zhang

et al. 2024

Preprint

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“…21 In addition, chlorophyll a was extracted with 95% alcohol and determined according to a previous study (Text S4). 22 2.6. Statistical Analysis.…”

Section: Characterization Of the Physicochemicalmentioning

confidence: 99%

Zero-Valent Iron Enhances Nutrient Removal and Long-Term Stability of Algal–Bacterial Granular Sludge under Low Carbon Conditions

Fan,

Zhang,

Lens

et al. 2024

ACS EST Water

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Achieving stable wastewater treatment performance of algal−bacterial granular sludge (ABGS) remains challenging under low-carbon conditions. Iron plays a pivotal role in enhancing microbial metabolism under low carbon conditions. Herein, zerovalent iron (ZVI) was applied to expedite the granulation process and enhance the sludge stability and nutrient removal of the ABGS system. ZVI served as a carrier facilitating the adhesion of algae and bacteria, subsequently stimulating the secretion of extracellular polymeric substance (EPS) to expedite microbial aggregation, ultimately augmenting the granular size, sludge density, and settleability of ABGS. Moreover, ZVI suppressed the growth of filamentous bacteria (e.g., Neomegalonema) and phototrophs (e.g., Cyanobacteria), which was essential for maintaining ABGS stability during long-term operation. Compared to the aerobic granular sludge (AGS) and ABGS systems, the nitrogen and phosphorus removal efficiencies of ZVI-enhanced ABGS system were increased by 6.1−20.7 and 18.3−37.4%, respectively, probably due to the selective enrichment of bacteria and microalgae, the up-regulated functional enzymes (e.g., nitrite reductase, polyphosphate kinase), and the enhanced electron transport capacity and energy metabolism. This study aids in understanding the enhancement mechanism behind the improved treatment performance and stability of the ABGS system by ZVI, and provides a novel strategy for rapid development of ABGS under low carbon conditions.

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Integrated partial nitrification and Tribonema minus cultivation for cost-effective ammonia recovery and lipid production from slaughterhouse wastewater

Wang,

Hu,

Elshobary

et al. 2024

Chemical Engineering Journal

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Simultaneous nitritation, denitritation and phosphorus removal in an algal-bacterial consortium system treating low-strength mariculture wastewater

Cited by 10 publications

References 41 publications

Insight into the Impact of Air Flow Rate on Algal-Bacterial Granules: Reactor Performance, Hydrodynamics by Computational Fluid Dynamics (CFD) and Microbial Community Analysis

Insight into the Impact of Air Flow Rate on Algal-Bacterial Granules: Reactor Performance, Hydrodynamics by Computational Fluid Dynamics (CFD) and Microbial Community Analysis

Zero-Valent Iron Enhances Nutrient Removal and Long-Term Stability of Algal–Bacterial Granular Sludge under Low Carbon Conditions

Integrated partial nitrification and Tribonema minus cultivation for cost-effective ammonia recovery and lipid production from slaughterhouse wastewater

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