Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 465, P. 133266 - 133266
Published: Dec. 15, 2023
Language: Английский
Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 465, P. 133266 - 133266
Published: Dec. 15, 2023
Language: Английский
Environmental Research, Journal Year: 2023, Volume and Issue: 222, P. 115413 - 115413
Published: Feb. 1, 2023
Language: Английский
Citations
56Environmental Pollution, Journal Year: 2024, Volume and Issue: 348, P. 123787 - 123787
Published: March 26, 2024
Language: Английский
Citations
34Environmental Nanotechnology Monitoring & Management, Journal Year: 2024, Volume and Issue: 22, P. 100975 - 100975
Published: June 8, 2024
Language: Английский
Citations
23Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 272, P. 116113 - 116113
Published: Feb. 15, 2024
Heavy metals in soil significantly threaten human health, and their remediation is essential. Among the various techniques used, phytoremediation one of safest, most innovative, effective. In recent years, use biodegradable chelators to assist plants improving efficiency has gained popularity. These aid transformation metal ions or metalloids, thereby facilitating mobilization uptake by plants. Developed countries are increasingly adopting for phytoremediation, with a growing emphasis on green manufacturing technological innovation chelating agent market. Therefore, it crucial gain comprehensive understanding mechanisms market prospects phytoremediation. This review focuses elucidating uptake, translocation, detoxification this study, we focused effects growth environmental development treated agents. Finally, potential risks associated chelator-assisted presented terms availability application study provides valuable reference future research field.
Language: Английский
Citations
17Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 489, P. 137588 - 137588
Published: Feb. 11, 2025
Language: Английский
Citations
3Frontiers in Veterinary Science, Journal Year: 2023, Volume and Issue: 10
Published: March 29, 2023
Toxicity with heavy metals has proven to be a significant hazard several health problems linked it. Heavy bioaccumulate in living organisms, pollute the food chain, and possibly threaten of animals. Many industries, fertilizers, traffic, automobile, paint, groundwater, animal feed are sources contamination metals. Few metals, such as aluminum (Al), may eliminated by elimination processes, but other like lead (Pb), arsenic (As), cadmium (Ca) accumulate body leading chronic toxicity Even if these have no biological purpose, their toxic effects still present some form that is damaging its appropriate functioning. Cadmium (Cd) Pb negative impacts on number physiological biochemical processes when exposed sub-lethal doses. The nephrotoxic Pb, As, Cd well known, high amounts naturally occurring environmental occupational populations exposures an adverse relationship between kidney damage metal exposure. Metal determined absorbed dosage, route exposure, duration whether acute or chronic. This can numerous disorders also result excessive due oxidative stress generated free radical production. concentration decreased through various procedures including bioremediation, pyrolysis, phytoremediation, rhizofiltration, biochar, thermal process. review discusses few mechanisms, cattle special emphasis kidneys.
Language: Английский
Citations
39Chemosphere, Journal Year: 2023, Volume and Issue: 345, P. 140476 - 140476
Published: Oct. 20, 2023
Language: Английский
Citations
39Applied Energy, Journal Year: 2023, Volume and Issue: 346, P. 121350 - 121350
Published: June 9, 2023
Language: Английский
Citations
28ACS Omega, Journal Year: 2023, Volume and Issue: 8(24), P. 21709 - 21725
Published: June 2, 2023
Augmentation of energy efficiency in the power generation systems can aid decarbonizing sector, which is also recognized by International Energy Agency (IEA) as a solution to attain net-zero from sector. With this reference, article presents framework incorporating artificial intelligence (AI) for improving isentropic high-pressure (HP) steam turbine installed at supercritical plant. The data operating parameters taken 660 MW coal-fired plant well-distributed input and output spaces parameters. Based on hyperparameter tuning, two advanced AI modeling algorithms, i.e., neural network (ANN) support vector machine (SVM), are trained and, subsequently, validated. ANN, turned out be better-performing model, utilized conduct Monte Carlo technique-based sensitivity analysis toward efficiency. Subsequently, ANN model deployed evaluating impact individual or combination HP under three real-power capacities parametric study nonlinear programming-based optimization techniques applied optimize It estimated that improved 1.43, 5.09, 3.40% compared average values half-load, mid-load, full-load modes, respectively. annual reduction CO2 measuring 58.3, 123.5, 70.8 kilo ton/year (kt/y) corresponds full load, respectively, noticeable mitigation SO2, CH4, N2O, Hg emissions modes AI-based conducted enhance operation excellence industrial-scale promotes higher-energy contributes target
Language: Английский
Citations
25Environmental Pollution, Journal Year: 2023, Volume and Issue: 341, P. 122833 - 122833
Published: Nov. 5, 2023
Language: Английский
Citations
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