Abstract:Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental pollutants generated primarily during the incomplete combustion of organic materials (e.g., coal, oil, petrol, and wood). Many PAHs have toxic, mutagenic, and/or carcinogenic functions. PAHs are highly lipid soluble which lead to a fast absorption by the gastrointestinal tract of marine mammals. They are immediately distributed in a vast variety of tissues with a notable tendency for localization in body fat. Metabolism of PAHs is obtained vi… Show more
“…PAHs are highly lipid soluble and accumulate in body fat. PAHs are ubiquitous environmental contaminants that pose significant risk to the health of marine species [2].…”
Standard Reference Material (SRM) 1936 Great Lakes Sediment is intended for 1) use in validating calibration and validation materials for sediment analysis methods and 2) value assigning in-house produced control materials analyzed using those methods. A unit of SRM 1936 consists of one bottle containing approximately 50 g of radiation-sterilized, dried sediment from Milwaukee Bay, WI, USA. This publication documents the production, analytical methods, and statistical evaluations used to characterize this material.
“…PAHs are highly lipid soluble and accumulate in body fat. PAHs are ubiquitous environmental contaminants that pose significant risk to the health of marine species [2].…”
Standard Reference Material (SRM) 1936 Great Lakes Sediment is intended for 1) use in validating calibration and validation materials for sediment analysis methods and 2) value assigning in-house produced control materials analyzed using those methods. A unit of SRM 1936 consists of one bottle containing approximately 50 g of radiation-sterilized, dried sediment from Milwaukee Bay, WI, USA. This publication documents the production, analytical methods, and statistical evaluations used to characterize this material.
“…In the marine environment, PAHs are usually adsorbed on small solid particles suspended, as well as on sediments, and thus they may enter the tissues of fish and other marine organisms through the food chain. However, whereas until 2007 the scientific community thought that the biomagnification and bioaccumulation processes, in edible marine organisms, can introduce PAHs in humans through the diet (Domingo et al 2007), it has recently been demonstrated (Baali and Yahyaoui 2019;Franco and Lavado 2019) that PAHs are quickly metabolised in fresh fish and do not accumulate in the muscle meat. In fact, due to the inducible enzymes of the cytochrome P450 family (Frasco and Guilhermino 2002), in particular CYP1A, that catalyse the addition of an oxygen atom to the PAH molecules, these last become highly polar conjugated metabolites that are then excreted into the urine or the bile for rapid elimination over the gastrointestinal tract.…”
Different specimens of Mullus surmuletus from the Catania Gulf (Sicily) were sampled and analysed for the quantification of 16 priority polycyclic aromatic hydrocarbons (PAHs) in order to evaluate the distribution of these pollutants and the potential human health risks associated to the consumption of fish. The determined PAHs concentration values ranged from 0.25 to 6.10 ng/g wet weight and the most abundant PAHs detected were lower molecular weight (LMW) compounds with 2 to 3 rings. Relying on the PAHs concentration values, on the consumption data and on the total toxic equivalent (TEQ), the incremental lifetime cancer risk (ILCR) was assessed and its calculated value (2.97 × 10−7) is far below the “maximum acceptable risk level” (ARL), suggesting a low potential carcinogenic risk on consuming M. surmuletus for local population. Even though the study shows a quite low contamination level in M. surmuletus, intensive monitoring programmes are still highly needed in order to provide a better picture of the PAHs distribution in Catania Gulf and of the human health risk linked to fish consumption.
“…Cancer in fish and especially in benthic organisms in natural aquatic systems has also been reported. Baali and Yahyaoui [12] reported that benzo [a] pyrene leads to a decrease in weight and growth, an increase in the gonado-somatic index (GSI) in Japanese medaka (Oryzias latipes), and teratogenic effects on the heart of sardines (Clupea pallasii), zebrafish, and anemia in scorpion fish (Sebastes schlegelii).…”
Rising solid waste production has caused high levels of environmental pollution. Population growth, economic patterns, and lifestyle patterns are major factors that have led to the alarming rate of solid waste production. Generally, solid wastes such as paper, wood, and plastic are disposed into landfills due to its low operation and maintenance costs. However, leachate discharged from landfills could be a problem in surfaces and groundwater if not adequately treated. This study investigated the patterns of the water quality index (WQI) and polycyclic aromatic hydrocarbons (PAH) along Johan River in Perak, Malaysia, which received treated leachate from a nearby landfill. An artificial neural network (ANN) was also applied to predict WQI and PAH concentration of the river. Seven sampling stations were chosen along the river. The stations represented the upstream of leachate discharge, point of leachate discharge, and five locations downstream of the landfill. Sampling was conducted for one year starting July 2018. Physicochemical parameters, namely pH, biological oxygen demand, chemical oxygen demand, ammoniacal nitrogen, total suspended solids, and dissolved oxygen, were used to compute the water quality index (WQI). PAH concentrations were determined by liquid–liquid extraction of water samples followed by an analysis using gas chromatography. Results showed that WQI of Johan River was under Class III where intensive treatment was required to make it suitable for drinking purposes. The highest recorded PAH concentrations were fluoranthene (333.4 ppb) in the dry season and benzo(a) pyrene (93.5 ppb) in the wet season. A correlation coefficient (Rp) for a model prediction based on WQI-ANN and TEC-ANN (toxicity equivalent concentration) in the wet and dry seasons was 0.9915, 0.9431, 0.9999, and 0.9999, respectively. ANN results showed good model performance with Rp ≈ 0.9. This study suggested that ANN is a useful tool for water quality studies.
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