Effect of EDDS on the rhizosphere ecology and microbial regulation of the Cd-Cr contaminated soil remediation using king grass combined with Piriformospora indica DOI
Haixiang Zhang, Kailu Zhang,

Yali Duan

et al.

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 465, P. 133266 - 133266

Published: Dec. 15, 2023

Language: Английский

Metal tolerance mechanisms in plants and microbe-mediated bioremediation DOI
Mathiyazhagan Narayanan, Ying Ma

Environmental Research, Journal Year: 2023, Volume and Issue: 222, P. 115413 - 115413

Published: Feb. 1, 2023

Language: Английский

Citations

56

Meta-analysis of impacts of microplastics on plant heavy metal(loid) accumulation DOI
Li Chen,

Nan Chang,

Tianyi Qiu

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 348, P. 123787 - 123787

Published: March 26, 2024

Language: Английский

Citations

34

Phytoremediation: An eco-friendly approach for remediation of heavy metal-contaminated soils-A comprehensive review DOI
M. Lavanya,

Dabir S. Viswanath,

P.V. Sivapullaiah

et al.

Environmental Nanotechnology Monitoring & Management, Journal Year: 2024, Volume and Issue: 22, P. 100975 - 100975

Published: June 8, 2024

Language: Английский

Citations

23

Biodegradable chelating agents for enhancing phytoremediation: Mechanisms, market feasibility, and future studies DOI Creative Commons
Fengwei Yin, Jianbin Li, Yilu Wang

et al.

Ecotoxicology 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

17

Characterizing soil Cops Eco-risk in China DOI

Yan Li,

Haoran Huang, Ye Li

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 489, P. 137588 - 137588

Published: Feb. 11, 2025

Language: Английский

Citations

3

A review of important heavy metals toxicity with special emphasis on nephrotoxicity and its management in cattle DOI Creative Commons

Ifrah Tahir,

Khalid A. Alkheraije

Frontiers 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

39

Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review DOI
Jagadeesh Kumar Janga, Krishna R. Reddy,

K. V. N. S. Raviteja

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 345, P. 140476 - 140476

Published: Oct. 20, 2023

Language: Английский

Citations

39

Recent advances in plastic waste pyrolysis for liquid fuel production: Critical factors and machine learning applications DOI
Jie Li, Di Yu,

Lanjia Pan

et al.

Applied Energy, Journal Year: 2023, Volume and Issue: 346, P. 121350 - 121350

Published: June 9, 2023

Language: Английский

Citations

28

Artificial Intelligence Modeling-Based Optimization of an Industrial-Scale Steam Turbine for Moving toward Net-Zero in the Energy Sector DOI Creative Commons
Waqar Muhammad Ashraf, Ghulam Moeen Uddin, Rasikh Tariq

et al.

ACS 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

25

Machine learning prediction and interpretation of the impact of microplastics on soil properties DOI
Piumi Amasha Withana, Jie Li, Sachini Supunsala Senadheera

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 341, P. 122833 - 122833

Published: Nov. 5, 2023

Language: Английский

Citations

24