Researchers and engineers are committed to finding effective approaches to reduce dissolved organic nitrogen (DON) to meet more stringent effluent total nitrogen limits and minimize effluent eutrophication potential. Here, we provided a promising approach by adding specific doses of 2-hydroxy-1,4-naphthoquinone (HNQ) to postdenitrification bioreactors. This approach of adding a small dosage of 0.03-0.1 mM HNQ effectively reduced the concentrations of DON in the effluent (ANOVA, < 0.05) by up to 63% reduction of effluent DON with a dosing of 0.1 mM HNQ when compared to the control bioreactors. Notably, an algal bioassay indicated that DON played a dominant role in stimulating phytoplankton growth, thus effluent eutrophication potential in bioreactors using 0.1 mM HNQ dramatically decreased compared to that in control bioreactors. The microbe-DON correlation analysis showed that HNQ dosing modified the microbial community composition to both weaken the production and promote the uptake of labile DON, thus minimizing the effluent DON concentration. The toxic assessment demonstrated the ecological safety of the effluent from the bioreactors using the strategy of HNQ addition. Overall, HNQ is a promising redox mediator to reduce the effluent DON concentration with the purpose of meeting low effluent total nitrogen levels and remarkably minimizing effluent eutrophication effects.
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http://dx.doi.org/10.1021/acs.est.3c07261 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Department of Environmental Health Engineering, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran.
Climate change significantly impacts the risk of eutrophication and, consequently, chlorophyll-a (Chl-a) concentrations. Understanding the impact of water flows is a crucial first step in developing insights into future patterns of change and associated risks. In this study, the Statistical DownScaling Model (SDSM)-a widely used daily downscaling method-is implemented to produce downscaled local climate variables, which serve as input for simulating future hydro-climate conditions using a hydrological model.
View Article and Find Full Text PDFFront Biosci (Elite Ed)
December 2024
Polytechnic School, University of Vale do Itajaí (Univali), Itajaí, SC 88302-202, Brazil.
Background: Enhanced biological phosphorus removal (EBPR) systems utilize phosphorus-accumulating organisms (PAOs) to remove phosphorus from wastewater since excessive phosphorus in water bodies can lead to eutrophication. This study aimed to characterize a newly isolated PAO strain for its potential application in EBPR systems and to screen for additional biotechnological potential. Here, sequencing allowed for genomic analysis, identifying the genes and molecules involved, and exploring other potentials.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215011, China.
Taking a sewage treatment plant in Suzhou City, Jiangsu Province, as an example, the greenhouse gas (GHG) emissions generated in the sewage treatment system were calculated using the carbon balance method and the emission factor method. The environmental impacts and economic aspects of different treatment units in wastewater treatment plants were analyzed using life cycle assessment, cost-benefit analysis, and data envelopment analysis models, and emission reduction pathways were proposed. The results indicated that the total GHG emissions (in terms of CO) from a certain municipal wastewater treatment plant in Suzhou were 6 653.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Engineering, Hangzhou Normal University, Hangzhou, 310018, China.
Front Microbiol
November 2024
Laboratory of Genomics and Bioinformatics, Center of Genomics and Systems Biology, Federal University of Pará, Belém, Brazil.
Introduction: The advancement of antimicrobial resistance is a significant public health issue today. With the spread of resistant bacterial strains in water resources, especially in urban sewage, metagenomic studies enable the investigation of the microbial composition and resistance genes present in these locations. This study characterized the bacterial community and antibiotic resistance genes in a sewage system that receives effluents from various sources through metagenomics.
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