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The presence of nanomaterials in the environment has caught the attention of the scientific because of the uncertainties in their fate, mobility and potential toxic effects. However, few studies have determined experimentally their concentration levels in aquatic systems up to date, which complicates the development of an adequate risk assessment. In the present study, the occurrence of ten fullerenes has been assessed in the Sava River (Southeastern Europe): 27 freshwater samples and 12 sediment samples from 12 sampling points have been analysed during two sampling campaigns. C was the most ubiquitous fullerene, with concentrations of 8 pg/l-59 ng/l and 108-895 pg/g in water and sediments, respectively. Statistically significant differences existed between the levels in 2014 and 2015, which has been attributed to the extreme hydrologic conditions (severe floods and drought, respectively). C fullerene has been detected in most of the samples and the fullerene derivatives [6,6]-phenyl C butyric acid methyl ester and N‑methyl fulleropyrrolidine have been detected eventually, which highlights that nanotechnology research and development activities are responsible for emitting these emerging contaminants to the environment. The role of diverse potential anthropogenic sources (including oil refinery, general industrial activity, river navigation, urban emissions and nanotechnology) is discussed.
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http://dx.doi.org/10.1016/j.scitotenv.2018.06.285 | DOI Listing |
Sci Rep
July 2025
Terrasigna, Bucharest, Romania.
Understanding the past and present-day dynamics of salt structures is critical due to their scientific significance and societal and economic implications. Past and present salt movement can trigger hazards like sinkholes and landslides, posing risks to inhabited areas and industries such as mining, hydrocarbon extraction, and energy storage. Moreover, there is a considerable data gap regarding uplift rates of salt diapirs in humid continental climates.
View Article and Find Full Text PDFPlants (Basel)
May 2025
Department of Biology, Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia.
Different communities of primary producers were surveyed in a series of five river reservoirs on the Sava River in southeast Slovenia. Seasonal differences of phytoplanktonic and phytobenthic communities were studied in the reservoirs of hydroelectric power plants. Macrophytes were surveyed in the summer, while phytoplankton and periphyton were sampled in the winter and summer of 2021.
View Article and Find Full Text PDFEnviron Geochem Health
March 2025
Faculty of Chemistry, University of Belgrade, Studentski trg 12-16, 11001, Belgrade, Serbia.
This study analyses sediments of the Vrbas River from its source to the Sava River confluence, assessing the origin of bitumen-type organic substances and the presence of anthropogenic oil-type pollutants. It focuses particularly on the impact of algae on the composition of organic matter. Saturated hydrocarbons were isolated by Soxhlet extraction, and group composition was determined by column chromatography.
View Article and Find Full Text PDFEnviron Res
March 2025
University of St. Thomas, Department of Biology, Mail OWS 390, 2115 Summit Ave, Saint Paul, MN, 55105, USA.
Emerging organic contaminants (EOCs) are a growing concern for aquatic ecosystems, underscoring the need for advanced risk assessment methodologies. This study employed an integrated approach to evaluate the risks associated with 563 EOCs across 13 monitoring sites along the Sava River in Croatia. Sampling was conducted during the winter and spring months, spanning February to May.
View Article and Find Full Text PDFMolecules
January 2025
Institute of Chemistry, Technology and Metallurgy, National Institute of the Republic of Serbia, University of Belgrade, Njegoševa 12, 11000 Belgrade, Serbia.
This study focused on the investigation of soil samples from the alluvial zone of the Sava River, located near the heating plant in New Belgrade, Serbia. Using gas chromatography with flame ionization detection (GC-FID), a broad range of alkanes, including linear -alkanes (C to C) and isoprenoids, was analyzed in all samples. The obtained datasets were effectively made simpler by applying multivariate statistical analysis.
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