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  • 1
    Publication Date: 2024-03-15
    Description: Ocean acidification events are recognized as important drivers of change in biological systems. Particularly, the impacts of acidification are more severe in estuarine systems than in surface ocean due to their shallowness, low buffering capacity, low salinity and high organic matter from land drainage. Moreover, because they are transitional areas, estuaries can be seriously impacted by a vast number of anthropogenic activities and in the last decades, carbon nanomaterials (CNMs) are considered as emerging contaminants in these ecosystems. Considering all these evidences, chronic experiment was carried out, trying to understand the possible alteration on the chemical behaviour of two different CNMs (functionalized and pristine) in predicted climate change scenarios and consequently, how these alterations could modify the sensitivity of one the most common marine and estuarine organisms (the polychaeta Hediste diversicolor) assessing a set of biomarkers related to polychaetes oxidative status as well as the metabolic performance and neurotoxicity. Our results demonstrated that all enzymes worked together to counteract seawater acidification and CNMs, however oxidative stress in the exposed polychaetes to both CNMs, especially under ocean acidification conditions, was enhanced. In fact, although the antioxidant enzymes tried to cope as compensatory response of cellular defense systems against oxidative stress, the synergistic interactive effects of pH and functionalized CNMs indicated that acidified pH significantly increased the oxidative damage (in terms of lipid peroxidation) in the cotaminated organisms. Different responses were observed in organisms submitted to pristine CNMs under pH control, where the lipid peroxidation did not increase along with the increasing exposure concentrations. The present results further demonstrated neurotoxicity caused by both CNMs, especially noticeable at acidified conditions. The mechanism of enhanced toxicity could be attributed to slighter aggregation and more suspended NMs in acidified seawater (as demonstrated by the DLS analysis). Therefore, ocean acidification may cause a higher risk of CNMs to marine ecosystems.
    Keywords: Acetylcholinesterase activity, per fresh mass, standard deviation; Acetylcholinesterase activity per fresh mass; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Annelida; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Catalase, per wet mass; Catalase activity, standard deviation; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Electron transport system activity of oyxgen; Electron transport system activity of oyxgen, standard deviation; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glutathione reductase per fresh mass; Glutathione reductase per fresh mass, standard deviation; Glycogen; Glycogen, standard deviation; Hediste diversicolor; Laboratory experiment; Lipid peroxidation, per wet mass; Lipid peroxidation, standard deviation; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Polydispersity index; Potentiometric; Potentiometric titration; Proteins, standard deviation; Proteins per fresh mass; Registration number of species; Salinity; Salinity, standard deviation; Single species; Size; Species; Superoxide dismutase, per fresh mass; Superoxide dismutase activity, standard deviation; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 2038 data points
    Location Call Number Limitation Availability
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