Hydrobiologia, Journal Year: 2024, Volume and Issue: unknown
Published: June 14, 2024
Language: Английский
Hydrobiologia, Journal Year: 2024, Volume and Issue: unknown
Published: June 14, 2024
Language: Английский
Molecules, Journal Year: 2024, Volume and Issue: 29(1), P. 258 - 258
Published: Jan. 3, 2024
Most organic pollutants are serious environmental concerns globally due to their resistance biological, chemical, and photolytic degradation. The vast array of uses compounds in daily life causes a massive annual release these substances into the air, water, soil. Typical examples include pesticides, polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs). Since they persistent hazardous environment, as well bio-accumulative, sensitive efficient extraction detection techniques required estimate level pollution assess ecological consequences. A wide variety methods, including pressurized liquid extraction, microwave-assisted supercritical fluid subcritical water have been recently used for from environment. However, has proven be most effective approach range In this review article, we provide brief overview technique its application PAHs, PCBs, pharmaceuticals, others form matrices. Furthermore, briefly discuss influence key parameters, such time, pressure, temperature, on efficiency recovery.
Language: Английский
Citations
20Environmental Research, Journal Year: 2023, Volume and Issue: 228, P. 115811 - 115811
Published: April 7, 2023
Language: Английский
Citations
41The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 919, P. 170880 - 170880
Published: Feb. 15, 2024
Language: Английский
Citations
9Water, Journal Year: 2025, Volume and Issue: 17(1), P. 85 - 85
Published: Jan. 1, 2025
Increasing numbers of emerging contaminants (ECs) detected in water environments require a detailed understanding these chemicals’ fate, distribution, transport, and risk aquatic ecosystems. Modeling is useful approach for determining ECs’ characteristics their behaviors environments. This article proposes systematic taxonomy EC models addresses gaps the comprehensive analysis applications. The reviewed include conventional quality models, multimedia fugacity machine learning (ML) models. Conventional have higher prediction accuracy spatial resolution; nevertheless, they are limited functionality can only be used to predict contaminant concentrations Fugacity excellent at depicting how travel between different environmental media, but cannot directly analyze variations parts same media because model assumes that constant within compartment. Compared other ML applied more scenarios, such as identification assessments, rather than being confined concentrations. In recent years, with rapid development artificial intelligence, surpassed becoming one newest hotspots study ECs. primary challenge faced by outcomes difficult interpret understand, this influences practical value an some extent.
Language: Английский
Citations
1Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100673 - 100673
Published: March 1, 2025
Language: Английский
Citations
1Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 452, P. 131179 - 131179
Published: March 10, 2023
Language: Английский
Citations
19Environmental Science Nano, Journal Year: 2023, Volume and Issue: 10(6), P. 1629 - 1643
Published: Jan. 1, 2023
This study reports the development of zein nanoparticles associated with herbicide atrazine and pre-emergence activity this formulation against a target non-target plant, its soil mobility uptake/transport in plant tissues.
Language: Английский
Citations
19Journal of Toxicology and Environmental Health, Journal Year: 2024, Volume and Issue: 87(18), P. 719 - 729
Published: June 17, 2024
Corn is the second most cultivated crop in Brazil, number-one country pesticide consumption. Chemical control of weeds performed using herbicides such as S-metolachlor with pre- and post-emergence action thus toxicity constitutes a matter great concern. The present investigation aimed to examine effects an S-metolachlor-based herbicide on Lactuca sativa L. (lettuce) Zea mays (maize) utilizing various bioassays. test solutions were prepared from commercial products containing active ingredient. Seeds plant models exposed petri dishes maintained under biochemical oxygen demand (BOD) at 24°C. Distilled water was negative aluminium positive control. Macroscopic analyses (germination growth) conducted for both species, microscopic analysis (cell cycle chromosomal alterations) root tip cells. Detrimental interference noted lettuce all parameters tested reducing germination by over 50% speed 45% showing significant decrease mitotic index, 16.25% 9,28% even lowest concentration tested. In maize, there no germination; however, significantly hampered, reaching 51.22% reduction highest Data demonstrated that toxic evidenced its phyto- cytotoxicity Z.
Language: Английский
Citations
6The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 168924 - 168924
Published: Nov. 28, 2023
Language: Английский
Citations
14Food Chemistry X, Journal Year: 2024, Volume and Issue: 24, P. 101896 - 101896
Published: Oct. 16, 2024
Potato is a highly nutritious staple food however, it also contains some antinutrients like alkaloids, phytates, tannins, oxalates as well pesticide residues. Therefore, this study was conducted to reduce the loads of and pesticides in potato powder (PP) using thermal non-thermal processing techniques. Nutritional analysis revealed that raw PP contained significantly (
Language: Английский
Citations
5