Selenium Contamination in Water. Группа авторов

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Selenium Contamination in Water - Группа авторов

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problematic contaminants from water discharge

       investigating tarn size restrictions

       sewage flow management

       complying with nitrate, sulfate, chloride discharge constraints

       recuperating heavy metal content

       freshwater scarcity/confines

       groundwater treatment technologies

       mine dewatering

       acid mine waste water.

Shematic illustration of artificial Intelligence, Machine Learning, and Deep Learning mechanisms in modeling and prediction of water treatment parameters.

      While the presence of selenium and its role in the domains discussed above is important, there is a remarkable experimental research area in Medicine, Cardiac and Cardiovascular Systems, Immunology and Pathology that shows the significance of selenium in cardiovascular health (Weschenfelder et al. 2020). This group of researchers made a praiseworthy linkage of selenium metabolism and its role in cardiac pathology. It is remarkable to note that the consumption of selenium in the prevention and treatment of cardiovascular ailments remains an indefinable area. From an alternative perspective, the chief purpose of selenium here is antioxidant defense through its amalgamation as selenocysteine into enzyme groups, for example glutathione peroxidases and thioredoxinreductases. Moreover, selenium compounds are various and have multifaceted metabolic effects, and thus there is partial dependence on selenoprotein expression. However, apart from the valuable properties of selenium, proved in clinical observations, selenium certainly may be destructive. It is thought‐provoking that the biological activities of selenium concurrently have consequences that may influence gene expression, the causing negative sequelae typically seen. Selenium nanoparticles (SeNPs) could substantially reduce hyperlipidemia and vascular damage in mice, most likely by controlling the metabolism of cholesterol and reducing oxidative stress by antioxidant selenoenzymes/selenoproteins (Guo et al. 2020). Removal of unsafe inorganic species of selenium, including selenite and selanate, has recently been tested by drinking water researchers for efficacy (Meher et al. 2020).

      This review now comes to the most impacted domain: Environmental Sciences, Metrology, Atmospheric Sciences, and Water Resources (Zayed et al. 1998a, 1998b; Amthor 2001; Jiang et al. 2013). Selenium (Se) is one of the vital essentials in food harvests as an outcome of rigorous plant production in several nations. Next, Se has emerged as the focus of research into various parts of the biosphere. This domain presents the contemporary understanding of Se in the agroecosystem. The existence of selenium in the atmosphere from soil to food systems is considered. The most hopeful and pressing potential nanotechnology developments (Yang et al. 2005; Liu et al. 2015) are in agriculture; and the manufacture nano‐selenium elements, and agronomic nanotechnology and its practice and justifiable expansion are also emphasized.

      Approximately 20% of the most influential research under discussion comes under the domain of Chemistry, Medicine Science, Multidisciplinary Sciences and Toxicology (Brown et al. 1999; Elmolla and Chaudhuri 2010). The extracts of this research domain consider the average selenium absorptions in forms of water from approximately 0.4 to 16 μg/l. In marine creatures there is a robust association between the Se deposits in the water and those in the body tissues. Many creatures bioaccumulate Se by factors as high as 1000 to 4000, making selenium poisonous to humans and other creatures. Yang et al. (2005) and Lenz and Lens (2009) claim existence of micronutrient for several creatures in trivial quantities; and they claim further that occupational selenium exterminating is frequently unintentional and occasional.

      During the publication analysis, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have emerged as a powerful tool to actuate water treatment processes. The most important role of AI, ML, and DL is that it enables efficient prediction and modeling in the conventional water treatment, distribution, and selenium removal processes.

      AI methods, comprising Artificial Neural Network (ANN), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), are deployed (Gupta and Gupta 1998) for the assessment of Se (IV) deletion from aqueous solutions.

      Combination

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