Abstract:Despite many modern wastewater treatment solutions, the most common is still the use of activated sludge (AS). Studies indicate that the microbial composition of AS is most often influenced by the raw sewage composition (especially influent ammonia), biological oxygen demand, the level of dissolved oxygen, technological solutions, as well as the temperature of wastewater related to seasonality. The available literature mainly refers to the relationship between AS parameters or the technology used and the compo… Show more
This review discusses critically how seasonal changes might affect the community composition and dynamics of activated sludge wastewater treatment plants (WWTP), and examines the factors thought more generally to control microbial community assembly, including the role of taxa-time relationships and stochastic and deterministic influences. The review also questions the differences in protocols used in these studies, which make any subsequent attempts at data comparisons problematic. These include bacterial DNA extraction and PCR methodologies, 16S rRNA sequencing and especially its depth, and subsequent statistical analyses of the data, which together often fail to reveal seasonal dynamic community shifts. Suggestions are given as to how experimental protocols need to be improved and standardized, and especially the requirement to examine bacterial populations at the species level. This review looks critically at what is known currently about seasonal influences on key members of this community, including viruses, the bacteria responsible for nitrogen and phosphorus removal and those causing bulking and foaming. The data show many of these species exhibit replicative seasonal abundances over several years, but not under all conditions, illustrating how complex these community dynamics are. Fungal and protozoal/metazoal seasonal community dynamics, less studied, are also discussed. The current data suggest that seasonal temperature fluctuations are responsible for most of seasonal community dynamics by selectively favouring or otherwise individual populations. However, more longer term studies carried out under much stricter controlled conditions are required.
This study evaluates antibiotic residues and bacterial loads in influent and effluent samples from three wastewater treatment plants (WWTPs) in Romania, across four seasons from 2021 to 2022. Analytical methods included solid-phase extraction and high-performance liquid chromatography (HPLC) to quantify antibiotic concentrations, while microbiological assays estimated bacterial loads and assessed antibiotic resistance patterns. Statistical analyses explored the impact of environmental factors such as temperature and rainfall on antibiotic levels. The results showed significant seasonal variations, with higher antibiotic concentrations in warmer seasons. Antibiotic removal efficiency varied among WWTPs, with some antibiotics being effectively removed and others persisting in the effluent, posing high environmental risks and potential for antibiotic resistance development. Bacterial loads were higher in spring and summer, correlating with increased temperatures. Eight bacterial strains were isolated, with higher resistance during warmer seasons, particularly to amoxicillin and clarithromycin.
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