The presence of micropollutants and pathogens in sanitary wastewater and surface water is a growing concern that impacts public health, environmental balance and the maintenance of water supply services. To improve sanitary wastewater treatment, it is necessary to develop and improve sustainable technologies. Among the available options, microalgae-based systems stand out for their efficiency and generation of value-added byproducts. To study the impact of luminosity and the presence of micropollutants (13 selected) on the removal of E. coli and total coliforms from real anaerobically treated wastewater, a pilot flat-panel photobioreactor (50 L) was operated in batch mode in a tropical climate region. This is the first study to evaluate whether micropollutants interfere with coliform groups, considering a microalgae-based system and an experiment in a tropical climate region. E. coli had better removal (from 10 to 10 CFU 100 mL) than did total coliforms (from 10 to 10 CFU 100 mL). The removal of E. coli was more strongly linked to luminosity and temperature, while the removal of total coliforms was influenced by the presence of the selected micropollutants.
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http://dx.doi.org/10.1016/j.envpol.2024.123935 | DOI Listing |
Integr Environ Assess Manag
January 2025
Programa de Biologia Marinha e Ambientes Costeiros, Universidade Federal Fluminense (PBMAC-UFF), Niterói, Rio de Janeiro, Brazil.
Road activities are recognized sources of pollution that affect the hydrochemistry of nearby water bodies. This study evaluated the Water Quality Monitoring Program in the Soberbo and Iconha rivers in the Guapi-Macacu watershed, which is affected by the BR-116 highway. The Rio-Teresópolis Concessionaire from 2009 to 2016 carried out quarterly sampling.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Environmental Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Background: Meat is a good source of protein in the human diet, and more than three-quarters of the world's population consumes it. It is the most perishable food item since it has enough nutrients to enable microbial growth. In underdeveloped nations, animals are routinely slaughtered and sold in unsanitary conditions, compromising the bacteriological quality and safety of the meat received from the animals.
View Article and Find Full Text PDFJAC Antimicrob Resist
February 2025
Department of Microbiology, Norfolk and Norwich University Hospital, Colney Lane, Norwich, Norfolk NR4 7UY, UK.
Objectives: To characterize resistance rates in urinary tract infections caused by Enterobacterales to first- and second-line antibiotics.
Methods: Positive urine cultures examined by the Eastern Pathology Alliance network from September 2018 to September 2023 were retrospectively analysed. Enterobacterales from non-pregnant adults were included.
Environ Res
January 2025
Environmental Simulation and Pollution Control State Key Joint Laboratory, State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (SMARC), School of Environment, Tsinghua University, Beijing, 100084, PR China; Beijing Laboratory for Environmental Frontier Technologies, Beijing, 100084, PR China; Research Institute for Environmental Innovation (Suzhou), Tsinghua, Jiangsu, Suzhou, 215163, PR China.
Monitoring and controlling microbial water quality is crucial for ensuring water reuse safety. In particular, existing water reuse guidelines and regulations normally prescribed coliform bacteria as microbial indicators. However, the use of non-unified coliform groups may bring difficulties to compare and optimize the conformity efforts on microbial surveillance.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Sustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, 248007, India.
This study provides a detailed approach to evaluating water quality in the Haridwar district, Uttarakhand, India, by integrating physicochemical and microbiological investigations. It employs multivariate analysis and applies water quality and trophic state indices to evaluate the current state of the water and identify potential sources of contamination. The results from the correlation matrix highlight the dynamic interactions between different water quality parameters.
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