Impact of coexisting components on the catalytic ozonation of emerging contaminants in wastewater

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 131847 - 131847

Published: Jan. 1, 2025

Language: Английский

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Elimination of indigo carmine in water by Pinus patula biochar: Adsorption process optimization, kinetics and isotherms

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112425 - 112425

Published: March 11, 2024

Language: Английский

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One-step fabrication of millimeter-scale hollow vesicles with chitosan /DADMAC/ sodium alginate graft copolymer for enhanced anionic dye adsorption

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 269, P. 132153 - 132153

Published: May 8, 2024

Language: Английский

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A study on the role of high-energy holes and reactive oxygen species in photocatalytic degradation using oxygen-doped/biochar-modified 2D carbon nitride

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 65, P. 105808 - 105808

Published: July 29, 2024

Language: Английский

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Use of Pinus patula wood pellet biochar for the adsorptive elimination of crystal violet: optimization, isotherms, and kinetics

International Journal of Environmental Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Language: Английский

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Efficient degradation of Rhodamine B by visible-light-driven biomimetic Fe(III) complex/peroxymonosulfate system: The key role of FeV=O

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(5), P. 113288 - 113288

Published: June 11, 2024

Language: Английский

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Application of artificial neural networks and Langmuir and Freundlich isotherm models to the removal of textile dye using biosorbents: A comparative study among methodologies

The Canadian Journal of Chemical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: April 14, 2024

Abstract Adsorption isotherms are valuable tools for describing the interaction between adsorbate and adsorbent since they demonstrate equilibrium relationship. The Langmuir Freundlich models most commonly used isotherm to describe these relationships; still, cannot consistently deliver efficient results due assumptions of model not predicting more complex situations as occurs in biosorption. Artificial neural networks (ANN) a set algorithms modelled loosely after human brain designed recognize patterns. ANN tool can overcome problems have interactions mentioned help define best conditions given adsorption process. This paper reports application ANNs removal efficiency textile dye Neolan Black WA (Acid 52) using orange peel sugarcane bagasse biosorbents. Freundlich, Langmuir, pseudo‐first‐order, pseudo‐second‐order were applied compared model. parameters evaluated initial concentration (10–600 mg/L), final (0–83.44 biosorbent mass (1.5 g), pH (2), contact time (0.167–24 h). Two classes ANNs, Elman feed‐forward networks, tested with mean square error 0.0212 0.7274 kinetics, respectively. Compared conventional kinetic models, network predicted amount adsorbed by biosorbents higher precision, acquiring determination coefficient 0.9998 8.75 × 10 −5 .

Language: Английский

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Dyeing sludge-derived biochar for efficient removal of malachite green from dyeing wastewater

Water Emerging Contaminants & Nanoplastics, Journal Year: 2024, Volume and Issue: 3(3)

Published: July 25, 2024

In light of the rapid advancement dyeing industry, resultant environmental contamination from extensive dye utilization and subsequent sludge generated by treatment wastewater has escalated, prompting broad apprehension. This study employed response surface methodology to explore iodine adsorption capacity pyrolyzed peat treated with ZnCl2 [ZnCl2 modified biochar (ZSC)] as adsorbent material for optimization parameters ZSC preparation. The analysis variance methods indicated that pyrolysis temperature emerged most pivotal factor. maximum malachite green (MG) reached up 224.0962 mg/g. Moreover, adsorptive efficacy on MG was evaluated under varying conditions, showcasing optimal facilitated a remarkable removal efficiency 99.13%. Even after five cycles reuse, maintained substantial decolorization capability 45% MG. Characterization through scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), Brunauer–Emmett–Teller (BET) high specific area 495.38 m2/g presence reactive functional groups (–OH C–O). process, upon thermodynamic kinetic evaluation, aligned more closely Langmuir isotherm model pseudo-second-order model. Mechanistic results revealed electrostatic attraction, pore-filling, hydrogen bonding, π-π stacking interactions collectively accounted elevated ZSC. represents promising approach, transforming waste into solution dual purpose resource reclamation sludge.

Language: Английский

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Crosslinked Chitosan-Sulfonated Polyphenylsulfone Electrospun Nanofibers: A Highly Water-Stable and Versatile Adsorbent for Organic Dye Removal

Fibers and Polymers, Journal Year: 2024, Volume and Issue: 25(9), P. 3307 - 3321

Published: Aug. 16, 2024

Language: Английский

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Biochar-driven fouling mitigation in sustainable microalgal-bacterial membrane bioreactors

Journal of Membrane Science, Journal Year: 2024, Volume and Issue: unknown, P. 123427 - 123427

Published: Oct. 1, 2024

Language: Английский

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