Adsorption of Dyes from Wastewater: A Comprehensive Review

ChemBioEng Reviews, Год журнала: 2023, Номер 10(3), С. 326 - 335

Опубликована: Март 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.

Язык: Английский

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

Food Chemistry, Год журнала: 2024, Номер 450, С. 139398 - 139398

Опубликована: Апрель 17, 2024

Язык: 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, Год журнала: 2023, Номер 375, С. 121286 - 121286

Опубликована: Янв. 21, 2023

Язык: 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, Год журнала: 2023, Номер 875, С. 162629 - 162629

Опубликована: Март 7, 2023

Язык: 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, Год журнала: 2023, Номер 322, С. 124305 - 124305

Опубликована: Июнь 10, 2023

Язык: 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, Год журнала: 2024, Номер 342, С. 127001 - 127001

Опубликована: Март 8, 2024

Язык: 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, Год журнала: 2024, Номер 31(9), С. 12748 - 12779

Опубликована: Янв. 24, 2024

Язык: 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, Год журнала: 2024, Номер 247, С. 118193 - 118193

Опубликована: Янв. 20, 2024

Язык: Английский

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

Carbohydrate Polymers, Год журнала: 2024, Номер 330, С. 121820 - 121820

Опубликована: Янв. 16, 2024

Язык: Английский

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

Advances in Colloid and Interface Science, Год журнала: 2024, Номер 333, С. 103281 - 103281

Опубликована: Авг. 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.

Язык: Английский

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