Bioavailability of Endocrine Substances in Aquatic Ecosystems, Emerging Contaminants (ECs) and Impact on Agricultural Water Reuse DOI

Shlomo Yehuda

Chemistry International, Journal Year: 2024, Volume and Issue: 46(4), P. 32 - 35

Published: Oct. 1, 2024

Language: Английский

Recent Progress in Sustainable Treatment Technologies for the Removal of Emerging Contaminants from Wastewater: A Review on Occurrence, Global Status and Impact on Biota DOI
Anu Mary Ealias,

Gayathri Meda,

Kashif Tanzil

et al.

Reviews of Environmental Contamination and Toxicology, Journal Year: 2024, Volume and Issue: 262(1)

Published: July 2, 2024

Language: Английский

Citations

18

Current Status of Emerging Contaminant Models and Their Applications Concerning the Aquatic Environment: A Review DOI Open Access
Zhuang Liu, Yonghai Gan, Jun Luo

et al.

Water, 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

4

Some evidence and new insights for feedback loops of human-nature interactions from a holistic Earth perspective DOI
Longjun Dong, Zixin Huang

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 432, P. 139667 - 139667

Published: Nov. 10, 2023

Language: Английский

Citations

28

Pharmaceutical and personal care products (PPCPs) degradation and microbial characteristics of low-temperature operation combined with constructed wetlands DOI
Qiushi Shi,

Yonggang Yuan,

Yunlong Zhou

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 341, P. 140039 - 140039

Published: Sept. 1, 2023

Language: Английский

Citations

19

Microalgae mediated bioremediation of polycyclic aromatic hydrocarbons: Strategies, advancement and regulations DOI Open Access
Gour Gopal Satpati, Shalini Gupta,

Rohan Kr Biswas

et al.

Chemosphere, Journal Year: 2023, Volume and Issue: 344, P. 140337 - 140337

Published: Oct. 3, 2023

Language: Английский

Citations

18

Mechanistic insights into the enhanced photocatalytic efficiency of MoS2-tuned DyFeO3 heterojunction for pollutants degradation DOI
Mohasin Tarek, Ferdous Yasmeen, M. A. Basith

et al.

Nanoscale, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

In this study, DyFeO3-MoS2 heterojunction nanocomposites were synthesized by integrating porous DyFeO3 nanoparticles (an n-type semiconductor) with MoS2 nanosheets (a p-type semiconductor). The resulting p-n substantially improved the photocatalytic efficiency for degrading methylene blue (MB) and levofloxacin (LFX). This design introduces a built-in electric field at interface, promoting efficient charge separation suppressing electron-hole recombination, thereby significantly enhancing performance under solar irradiation compared to alone. Characterization studies, including XRD, FESEM, TEM, XPS, UV-visible absorbance, photoluminescence, Mott-Schottky analysis, confirmed nanocomposites' crystalline structure, well-dispersed nanosheets, oxygen vacancies, enhanced visible light absorption, favorable band positions. incorporation of increased separation, surface area mitigating aggregation, leading higher degradation rates. Among tested compositions, (80 : 20) nanocomposite, containing 20 wt% MoS2, exhibited highest efficiencies, 96.5% MB 88.7% LFX. Further analyses, activation energy determination, quantum yield measurement, scavenger tests, reusability assessments, optimized nanocomposite's durability. reduced energies high yields (35.5% MB, 25.8% LFX) indicate photon conversion radical generation, superoxide radicals (˙O2-) identified as primary reactive species. Stability tests revealed over 85% retention activity after four cycles, underscoring composite's robustness. Moreover, mechanism key insights into pathways pollutants. investigation demonstrates viable solar-driven solution pollutant in wastewater treatment incorporating nanostructures.

Language: Английский

Citations

1

The efficacy of nano‐cellulose‐based composites in heavy metal removal from wastewater: a comprehensive review DOI
Humberto García Castellanos, Yashar Aryanfar, Soheil Mohtaram

et al.

Journal of Chemical Technology & Biotechnology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 5, 2024

Abstract This comprehensive study delves into the innovative application of nano‐cellulose‐based composites for addressing multifaceted challenges wastewater treatment. review introduces use nano‐cellulose composites, particularly highlighting novel synthesis routes that enhance their pollutant adsorption capabilities beyond conventional materials. These materials stand out regenerative properties and integration with functionalized matrix materials, marking significant advancements in sustainable treatment technologies. As environmental public health risks associated untreated escalate, development efficient technologies has become crucial. Nano‐cellulose derived from natural renewable sources, offer advantages, including high surface area, superior mechanical strength, notable biodegradability. explores various methods—mechanical, chemical, enzymatic—that adaptability to meet specific needs. Main findings demonstrate these composites' effectiveness removing a wide array pollutants, heavy metals, organic compounds, dyes, microbial contaminants, detailed removal capacities provided each category comparative tables. The potential regeneration reuse highlights practical sustainability economic viability. Future research should focus on improving production scalability cost‐effectiveness, assessing impacts ensuring regulatory compliance advance paves way central innovative, efficient, eco‐friendly management strategies. © 2024 Society Chemical Industry (SCI).

Language: Английский

Citations

6

Detection and Treatment of Emerging Contaminants in Wastewater DOI Creative Commons
Sartaj Ahmad Bhat, Vineet Kumar, Fusheng Li

et al.

IWA Publishing eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: April 12, 2024

Abstract Detection and Treatment of Emerging Contaminants in Wastewater addresses the critical pressing need for effective strategies to detect treat emerging contaminants, thereby mitigating risks associated with their presence wastewater. This comprehensive book features contributions from prominent experts field wastewater, providing an up-to-date in-depth collection chapters dedicated tackling this issue. Highlights: The serves as invaluable resource identifying, assessing, comprehensively addressing contaminants wastewater and/or sludges. It delves into assessment, mitigation, treatment various including microplastics, antibiotic-resistant genes, pharmaceuticals, personal care products industrial chemicals.An exploration behavior microplastics different plants accumulation sludge, shedding light on potential impact environment.An introduction key mechanisms removal pollutants sludge through fungal-mediated processes, offering innovative solutions treatment.An investigation fate pharmaceutically-active compounds along environmental impacts. Additionally, accurate quantification procedures these are discussed.The covers new trends development greener nanomaterials, evaluating performance abating With its insights diverse perspectives, is essential guide researchers, professionals, policymakers engaged management protection. practical scientific knowledge presented herein will contribute significantly safeguarding our water resources ensuring a cleaner healthier future. ISBN: 9781789063745 (paperback) 9781789063752 (ebook) (ePub)

Language: Английский

Citations

5

High‐Valence Mn MOF Inspired by Laccase Mediators Enables Versatile Nature‐Mimicking Catalysis DOI
Lili Xu,

Jianli Nan,

Songxue Han

et al.

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Abstract In nature, active Mn 3+ –ligand complexes produced by laccase catalyzed oxidation can act as the low‐molecular mass, diffusible redox mediators to oxidize phenolic substrates overcoming limitations of natural enzymes. Learning from metal–ligand coordination functional units, high‐valence metal–organic framework (Mn MOF) is constructed simulate catalysis in mediator system. Benefiting characteristics nanoscale size, rich metal unsaturated sites, and mixed valence state dominated Mn(III), Nano Mn(III)‐TP exhibits superior laccase‐mimicking activity, whose V max (maximal reaction rate) much higher than that laccase. Referring systems, relevant free radical experiments prove material induces production oxygen species with assistance carboxylic acid, further substrates. Based on its robust performances, primary oxidative degradation an emerging pollutant triclosan (TCS) creatively applied, important antiasthmatic medicine terbutaline sulfate (TBT) detection, synthesis non‐toxic black near‐natural dyes for dyeing. By simulating essential enzymatic catalysis, MOF‐based demonstrates multiple novel applications successfully developed, which introduces a new reliable strategy achieving versatile nature‐mimicking catalysis.

Language: Английский

Citations

4

Machine learning-aided biochar design for the adsorptive removal of emerging inorganic pollutants in water DOI
Habib Ullah,

Sangar Khan,

Xiaoying Zhu

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131421 - 131421

Published: Jan. 1, 2025

Language: Английский

Citations

0