Strategically tailored double S-scheme heterojunction in h-MoO3 doped Bi7O9I3 decorated with Cr–CdS quantum dots for efficient photocatalytic degradation of phenolics

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 449, P. 141656 - 141656

Published: March 8, 2024

Language: Английский

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Insightful properties-performance study of Ti–Cu–O heterojunction sonochemically embedded in mesoporous silica matrix for efficient tetracycline adsorption and photodegradation: RSM and ANN-based modeling and optimization

Chemosphere, Journal Year: 2024, Volume and Issue: 352, P. 141223 - 141223

Published: Jan. 14, 2024

Language: Английский

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Development of simplistic and stable Co-doped ZnS nanocomposite towards excellent removal of bisphenol A from wastewater and hydrogen production: Evaluation of reaction parameters by response surface methodology

Journal of the Taiwan Institute of Chemical Engineers, Journal Year: 2024, Volume and Issue: 163, P. 105654 - 105654

Published: July 24, 2024

Language: Английский

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Recent advances in g–C3N4–based photocatalysis for water treatment: Magnetic and floating photocatalysts, and applications of machine-learning techniques

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118895 - 118895

Published: Aug. 31, 2023

Language: Английский

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Ceftriaxone photodegradation in wastewater using AgCuFe2O4/ZnO Almond-like heterogeneous nanocatalyst anchored on multi walled carbon nanotubes: Synthesis, characterization, mechanism study, and bioassay effluent

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 36, P. 103759 - 103759

Published: July 22, 2024

Language: Английский

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Innovative RGO-bridged S-scheme CuFe2O4@Ag2S heterojunction for efficient Sun-light-driven photocatalytic disintegration of Ciprofloxacin

Carbon, Journal Year: 2024, Volume and Issue: unknown, P. 119725 - 119725

Published: Oct. 1, 2024

Language: Английский

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Framework Zr-enriched Hierarchical Zr-Si Zeolites Photocatalysts: Effects and Mechanism of CTAB amount on photocatalytic performance

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: 1013, P. 178563 - 178563

Published: Jan. 1, 2025

Language: Английский

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Kinetics, central composite design and artificial neural network modelling of ciprofloxacin antibiotic photodegradation using fabricated cobalt-doped zinc oxide nanoparticles

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

Published: Jan. 10, 2025

Abstract Cobalt-doped zinc oxide nanoparticles were fabricated and examined in this study as a potential photocatalyst for the antibiotic ciprofloxacin (CIPF) degradation when exposed to visible LED light. The Co-precipitation technique created that 5, 10, 15% Co-loaded. Different known techniques have been used characterize synthesized ZnO cobalt-doped nanoparticles. Compared other nanoparticles, experiments showed 10% very effective catalyst CIPF photodegradation. According XRD, these NPs hexagonal Wurtzite structure with an average size of between 38.47 48.06 nm. Tauc plot displayed optical energy band-gap (3.21) slowly declines Co doping (2.75 eV). enhanced photocatalytic activity which avoids electron-hole recombination, is brought on by implantation Co. Within 90 min, 30 mg/L solution was destroyed (> 99%). kinetics studies demonstrated first-order model, R 2 = 0.9703, appropriate illuminating pace reaction quantity elimination. recycled performance toward 3 cycles same efficiency. Furthermore, optimization using Central composite design (CCD) also studied. optimal parameters pH 6.486, 134.39 rpm shaking speed, 54.071 mg dose, 31.04 ppm initial concentration resulted highest efficiency (93.99%). Artificial neural networks (ANN) simulate experimental data. backpropagation train 152 input-output patterns. After experimenting various configurations, best results correlation value ( ) 0.9780 data validation obtained three-hidden layered network included five, eight neurons, respectively.

Language: Английский

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Navigating the Evolution of Carbon Nitride Research: Integrating Machine Learning into Conventional Approaches

Physical Chemistry Chemical Physics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Carbon nitride research has reached a promising point in today's endeavours with diverse applications including photocatalysis, energy storage, and sensing due to their unique electronic structural properties. Recent advances machine learning (ML) have opened new avenues for exploring optimizing the potential of these materials. This study presents comprehensive review integration ML techniques carbon an introduction CN classifications recent advancements. We discuss methodologies employed, such as supervised learning, unsupervised reinforcement predicting material properties, synthesis conditions, enhancing performance metrics. Key findings indicate that algorithms can significantly reduce experimental trial-and-error, accelerate discovery processes, provide deeper insights into structure-property relationships nitride. The synergistic effect combining traditional approaches is highlighted, showcasing studies where driven models successfully predicted novel compositions enhanced functional Future directions this field are also proposed, emphasizing need high-quality datasets, advanced models, interdisciplinary collaborations fully realize materials next-generation technologies.

Language: Английский

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Eco-friendly Synthesis of ZnO/g-C3N4 Using Salix aegyptiaca Extract: A High-Performance Photocatalyst for Tetracycline Degradation Under Visible Light, Response Surface Methodology

Journal of Molecular Structure, Journal Year: 2025, Volume and Issue: unknown, P. 141719 - 141719

Published: Feb. 1, 2025

Language: Английский

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