Adsorption of Dyes from Wastewater: A Comprehensive Review

ChemBioEng Reviews, Journal Year: 2023, Volume and Issue: 10(3), P. 326 - 335

Published: March 27, 2023

Abstract Because of their ubiquitous industrial usage, dyes are significant water pollutants. Adsorption is an effective method for eliminating colors from tainted water. In the twenty‐first century, industrialization growing at a dizzying rate. During this stage, more noble and used. These hues contribute to wide range contaminants, including water, soil, air pollution. The objective report just discuss chemical bio‐based adsorbents used remove various types dyes. Several adsorption isotherm assumptions mathematical formulations were investigated. effect variety factors on phenomena addressed.

Language: Английский

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Removal of food dyes using biological materials via adsorption: A review

Food Chemistry, Journal Year: 2024, Volume and Issue: 450, P. 139398 - 139398

Published: April 17, 2024

Language: Английский

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Study of modified PVDF membranes with high-capacity adsorption features using Quantum mechanics, Monte Carlo, and Molecular Dynamics Simulations

Journal of Molecular Liquids, Journal Year: 2023, Volume and Issue: 375, P. 121286 - 121286

Published: Jan. 21, 2023

Language: Английский

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Cost estimation of synthesis and utilization of nano-adsorbents on the laboratory and industrial scales: A detailed review

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 875, P. 162629 - 162629

Published: March 7, 2023

Language: Английский

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Facile synthesis of magnetic ZnAl layered double hydroxides and efficient adsorption of malachite green and Congo red

Separation and Purification Technology, Journal Year: 2023, Volume and Issue: 322, P. 124305 - 124305

Published: June 10, 2023

Language: Английский

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Multifunctional carboxymethyl cellulose-dextran sulfate/AgNPs@zeolite hydrogel beads for basic red 46 and methylene blue dyes removal and water disinfection control

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 342, P. 127001 - 127001

Published: March 8, 2024

Language: Английский

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Advancements in textile dye removal: a critical review of layered double hydroxides and clay minerals as efficient adsorbents

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(9), P. 12748 - 12779

Published: Jan. 24, 2024

Language: Английский

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Polypyrrole-decorated bentonite magnetic nanocomposite: A green approach for adsorption of anionic methyl orange and cationic crystal violet dyes from contaminated water

Environmental Research, Journal Year: 2024, Volume and Issue: 247, P. 118193 - 118193

Published: Jan. 20, 2024

Language: Английский

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Enhanced dye sequestration with natural polysaccharides-based hydrogels: A review

Carbohydrate Polymers, Journal Year: 2024, Volume and Issue: 330, P. 121820 - 121820

Published: Jan. 16, 2024

Language: Английский

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Molecular simulation-based insights into dye pollutant adsorption: A perspective review

Advances in Colloid and Interface Science, Journal Year: 2024, Volume and Issue: 333, P. 103281 - 103281

Published: Aug. 24, 2024

Growing concerns about environmental pollution have highlighted the need for efficient and sustainable methods to remove dye contamination from various ecosystems. In this context, computational such as molecular dynamics (MD), Monte Carlo (MC) simulations, quantum mechanics (QM) calculations, machine learning (ML) are powerful tools used study predict adsorption processes of dyes on adsorbents. These provide detailed insights into interactions mechanisms involved, which can be crucial designing systems. MD detailing arrangements, dyes' behaviour interaction energies with They simulate entire process, including surface diffusion, solvent layer penetration, physisorption. QM especially density functional theory (DFT), determine structures reactivity descriptors, aiding in understanding mechanisms. identify stable configurations like hydrogen bonding electrostatic forces. MC simulations equilibrium properties by sampling configurations. ML proven highly effective predicting optimizing processes. models offer significant advantages over traditional methods, higher accuracy ability handle complex datasets. optimize conditions, clarify adsorbent functionalization roles, removal efficiency under conditions. This research explores MD, MC, QM, approaches connect macroscopic phenomena. Probing these techniques provides energetics pollutants surfaces. The findings will aid developing new materials removal. review has implications remediation, offering a comprehensive at scales. Merging microscopic data observations enhances knowledge pollutant adsorption, laying groundwork efficient, technologies. Addressing growing challenges ecosystem protection, contributes cleaner, more future. • Enviro concern drives eco-friendly Computation unveils Study bridges dynamics, Carlo, mechanics. Insights inform novel adsorbents Integration shapes greener solutions.

Language: Английский

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