Endocrine-disrupting chemicals (EDCs) are agents able to exert perturbation toward the endocrine system via a broad array of signalling pathways. Some EDCs are released into the environment as a result of antropogenic activities. Analytical surveillance plays a critical role in investigating the prevalence of such chemicals in environmental samples. A study was carried out in a lagoon in Southern Italy, a water basin relates to the sea through a mouth channel, making this water body a "dynamic environment". The screening of fourteen EDCs in surface waters and sediments, includes a fast and cost-effective sample preparation, based on a solid-liquid (sediments) and liquid-liquid (surface waters) extraction and a chromatographic analysis by liquid chromatography tandem UV and fluorescence detection. Only four chemicals out the fourteen investigated EDCs were detected in both matrices with a frequency higher than 60%. The average concentrations of the single EDC were higher in sediments (730-155.000 ng kg dw) than in surface waters (132-28.000 ng L ). Limited to the assayed EDCs, the ecosystem has a low risk regarding to the conservation of biodiversity of the animal species living thereby, since the total estrogenic activity does not exceed 1 ng L . PRACTITIONER POINTS: Occurrence of selected EDCs was investigated in an Italian lagoon in Southern Italy. BPAF, BADGE, and BPA were the most frequently and highly detected compounds in both waters and sediments. Concentration levels were greater in the sediment than in water samples. Low risk for the ecosystem biodiversity concerning investigated EDCs.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/wer.1566 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Jurassic Osmundaceous Landscapes in Patagonia: Exploring the Concept of Ecological Stasis in the Deseado Massif, Argentina.
Plants (Basel)
January 2025
Consejo Nacional de Investigaciones Científicas y Técnicas, Godoy Cruz 2290, Ciudad Autónoma de Buenos Aires C1425FQB, Argentina.
Herein, we report the presence of a plant paleocommunity, dominated by ferns of the family Osmundaceae, structurally preserved from the only known Mesozoic, fossiliferous geothermal deposits, from the La Matilde Formation (Middle-Upper Jurassic) in the Deseado Massif of Southern Patagonia, Argentina. A total of 13 siliceous chert blocks sampled in an area of approximately 250 m, preserving a monotypic assemblage dominated by Osmundaceae embedded within its original swampy substrate, are documented. Additional Osmundaceae and fewer ferns and conifers are present in the stratigraphically continuous, adjacent chert levels.
View Article and Find Full Text PDFAbundance, Size Structure, and Growth of the Invasive Blue Crab in the Lesina Lagoon, Southern Adriatic Sea.
Biology (Basel)
December 2024
National Research Council (CNR), Institute of Sciences of Food Production (ISPA), 71121 Foggia, Italy.
The fishery biology of the invasive Atlantic blue crab in the Mediterranean Sea outside the eastern sectors of the basin has been only recently investigated. Here we studied the population of in the Lesina Lagoon (Adriatic Sea, SE Italy). In total, 838 crabs were captured monthly between February 2021 and January 2022 using fyke nets.
View Article and Find Full Text PDFAnalyzing trend and heatwaves of 15 Years of Sea Surface Temperature Variations along the Italian Adriatic Coast.
Vet Ital
December 2024
Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale", Teramo, Italy.
Water temperature is a vital parameter impacting the growth and survival of aquatic life. Using satellite-derived infrared data, this study analysed the trend of sea surface temperature (SST) from 2008 to 2022 of the Adriatic coastal waters of Italian regions. The "Mediterranean Sea High Resolution and Ultra High Resolution Sea Surface Temperature Analysis" product collected from the Copernicus Marine Service of European Copernicus programme was used, as a good compromise among spatial accuracy, temporal frequency and coverage.
View Article and Find Full Text PDFIntegrating machine learning and remote sensing for long-term monitoring of chlorophyll-a in Chilika Lagoon, India.
Environ Monit Assess
December 2024
Department of Forest, Environment, and Climate Change, Chilika Development Authority, Barkul, Odisha, India.
Chlorophyll-a (Chla) is recognized as a key indicator of water quality and ecological health in aquatic ecosystems, offering valuable insights into ecosystem dynamics and changes over time. This study aimed to to develop and validate a robust ML model for estimating Chla using Landsat data, produce a time series of Chl a maps, and analyze the spatiotemporal variability of Chla in Chilika Lagoon, Asia's largest brackish water lagoon. Nine ML regression models, including Extreme Gradient Boost, Support Vector Regression, Random Forest, and Bagging Regression, were evaluated using Landsat imagery and field data.
View Article and Find Full Text PDFSymbiont genotype plays a vital role in the ability of a coral host to tolerate rising ocean temperatures, with some members of the family Symbiodiniaceae possessing more thermal tolerance than others. While existing studies on genetic structure in symbiont populations have focused on broader scales of 10-100 s of km, there is a noticeable gap in understanding the seascape genetics of coral symbionts at finer-yet ecologically and evolutionarily relevant-scales. Here, we mapped short reads from 271 holobiont genome libraries of individual colonies to protein coding genes from the chloroplast genome to identify patterns of symbiont population genetic structure.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!