Assessment of the Effect of Zn Co-Doping on Fe/TiO2 Supports in the Preparation of Catalysts by Wet Impregnation for Photodegradation Reactions of Food Coloring Effluents DOI Creative Commons
Luiz Eduardo Nochi Castro, Larissa Resende Matheus, Giane Gonçalves Lenzi

et al.

Colorants, Journal Year: 2025, Volume and Issue: 4(2), P. 17 - 17

Published: May 7, 2025

This study explores the photocatalytic efficiency of Zn/Fe/TiO2 catalysts, synthesized via wet impregnation method, for degrading food colorings Allura Red and Tartrazine Yellow. A 22 factorial design with a central point replication guided catalyst synthesis. Characterization involved BET surface area analysis, SEM-EDX, XRD, PZC determination. Photocatalytic tests were conducted in batch mode under natural sunlight 10 mg L−1 coloring solutions. Kinetic modeling statistical analysis performed, reuse was evaluated artificial light. Results showed that low calcination temperatures (200–273 °C) Zn loadings 2–10% led to nearly 99% discoloration degradation efficiency. The Behnajady–Modirshahla–Ghanbery kinetic model best described data, confirming significant impact both variables. optimal 2%Zn/2%Fe/TiO2 calcined at 200 °C, while Yellow, 6%Zn/2%Fe/TiO2 300 °C most effective. Both catalysts exhibited excellent stability, maintaining over four cycles. These findings demonstrate potential sustainable wastewater treatment.

Language: Английский

Advanced photocatalysis as a viable and sustainable wastewater treatment process: A comprehensive review DOI
Muhammad Iqbal, Sumia Akram,

Shahreen khalid

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 253, P. 118947 - 118947

Published: May 12, 2024

Language: Английский

Citations

77

Biosynthesis and characterization of iron oxide nanoparticles fabricated using cell-free supernatant of Pseudomonas fluorescens for antibacterial, antifungal, antioxidant, and photocatalytic applications DOI Creative Commons
Sanaz Ashrafi-Saiedlou, MirHassan Rasouli-Sadaghiani, Mohammad Reza Fattahi

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 6, 2025

This study investigates the biosynthesis of iron oxide nanoparticles (Fe2O3NPs) using cell-free supernatant Pseudomonas fluorescens. The synthesized Fe2O3NPs were characterized through UV–VIS, XRD, FTIR, FESEM, EDX, TEM, BET, and VSM analyses. XRD results confirmed that successfully EDX analysis indicated accounted for 89.5% sample composition. Imaging via SEM TEM revealed average diameters 20.43 ± 5.38 nm 24.32 5.03 nm, respectively. antimicrobial effects assessed against four bacterial strains fungal species. Inhibition zones 8.35 0.103 mm 8.31 0.128 observed syringae Staphylococcus aureus at a concentration 400 μg mL−1 Fe2O3NPs. Antifungal efficacy showed growth rate reductions 90.4% Aspergillus niger, 71.1% Monilinia fructigena, 68.8% Botrytis cinerea, 84.2% Penicillium expansum, compared to controls. demonstrated photocatalytic degradation efficiencies 89.93%, 84.81%, 79.71% methyl violet, orange, methylene blue, Also exhibited significant DPPH free radical scavenger activity with an IC50 value 8.45 0.59 mL−1. study's findings underscored potential in addressing environmental pollution combating pathogenic microorganisms.

Language: Английский

Citations

4

AI in single-atom catalysts: a review of design and applications DOI Open Access

Qijun Yu,

Ninggui Ma,

Chihon Leung

et al.

Journal of Materials Informatics, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 12, 2025

Single-atom catalysts (SACs) have emerged as a research frontier in catalytic materials, distinguished by their unique atom-level dispersion, which significantly enhances activity, selectivity, and stability. SACs demonstrate substantial promise electrocatalysis applications, such fuel cells, CO2 reduction, hydrogen production, due to ability maximize utilization of active sites. However, the development efficient stable involves intricate design screening processes. In this work, artificial intelligence (AI), particularly machine learning (ML) neural networks (NNs), offers powerful tools for accelerating discovery optimization SACs. This review systematically discusses application AI technologies through four key stages: (1) Density functional theory (DFT) ab initio molecular dynamics (AIMD) simulations: DFT AIMD are used investigate mechanisms, with high-throughput applications expanding accessible datasets; (2) Regression models: ML regression models identify features that influence performance, streamlining selection promising materials; (3) NNs: NNs expedite known structural models, facilitating rapid assessment potential; (4) Generative adversarial (GANs): GANs enable prediction novel high-performance tailored specific requirements. work provides comprehensive overview current status insights recommendations future advancements field.

Language: Английский

Citations

3

Review on the impact of heavy metals from industrial wastewater effluent and removal technologies DOI Creative Commons
Temitayo E Oladimeji,

M Oyedemi,

M.E. Emetere

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(23), P. e40370 - e40370

Published: Nov. 15, 2024

The incidence of water pollution in developing countries is high due to the lack regulatory policies and laws that protect bodies from anthropogenic activities industrial wastewater. Industrial wastewater contains significant amounts heavy metals are detrimental human health, aquatic organisms, ecosystem. focus this review was evaluate sources treatment methods wastewater, with an emphasis on technologies, advantages, disadvantages, innovation. It observed conventional (such as flotation, coagulation/flocculation, adsorption) had shown promising results but posed certain limitations, such generation volumes sludge, relatively low removal rates, inefficiency treating metal concentrations, sensitivity varying pH. Recent technologies like nanotechnology, photocatalysis, electrochemical coagulation have advantages over for removing metals, including higher improved energy efficiency, greater selectivity specific contaminants. However, costs associated these advanced remain a major drawback. Therefore, we recommend future developments technology reducing both waste generation.

Language: Английский

Citations

15

New advancement of advanced oxidation processes for the treatment of Petroleum wastewater DOI Creative Commons

Ali Imran Merchant,

Amir Hossein Vakili, Ayhan Kocaman

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 319, P. 100565 - 100565

Published: June 24, 2024

This review delves into the significant potential of Advanced Oxidation Processes (AOPs) for tackling intricate issues found in treating petroleum wastewater. It particularly focuses on utilization processes like Fenton reactions, Ozonation-based AOPs, and photocatalytic techniques, highlighting their role producing powerful reactive oxygen species capable breaking down organic contaminants. The also discusses recent advancements merging Electro-Fenton photocatalysis to enhance pollutant removal efficiency. Furthermore, it investigates how these methods are being applied specifically petrochemical wastewater management, including innovative approaches Fenton, Photo- Electro-Fenton, Photo-catalytic oxidation, persulfate activation based AOPs. Operational cost treatment time, energy requirements, pH adjustment, complexity reactor setup, efficiencies treated effluent quality, by-products some challenges critically examined. article aims highlight identify emerging challenges, proposing a shift towards more sustainable effective strategies future.

Language: Английский

Citations

14

Advances in designed reactors for water treatment process: A review highlighting the designs and performance DOI
Ganjar Fadillah,

Noor T.S. Alarifi,

I Wayan Koko Suryawan

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 63, P. 105417 - 105417

Published: May 28, 2024

Language: Английский

Citations

12

Efficient degradation of tetracycline antibiotics using a novel rGO/Ag/g-C3N4 photocatalyst for hospital wastewater treatment DOI
Hongxia Zhang, H.R. Azimi, M.R. Mahmoudian

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122734 - 122734

Published: Oct. 8, 2024

Language: Английский

Citations

10

Enhanced removal of tetracycline from water using MgO-modified g-C3N4 composite: Synthesis optimization and mechanism investigation DOI
Hui Yu, Lili Gao, Xinyuan Zhang

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 71, P. 107176 - 107176

Published: Feb. 12, 2025

Language: Английский

Citations

2

Advancing photocatalytic strategies for microplastic degradation in aquatic systems: Insights into key challenges and future pathways DOI Creative Commons

Karina J. Ramírez-Escárcega,

Karla J. Amaya-Galván,

Juan C. García-Prieto

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115594 - 115594

Published: Jan. 1, 2025

Language: Английский

Citations

1

Iron- and carbon-based nanocomposites as anode modifiers in microbial fuel cells for wastewater treatment and power generation applications DOI
Moustafa Zahran

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 64, P. 105679 - 105679

Published: June 24, 2024

Language: Английский

Citations

9