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Dialysis

Dialysis

Dialysis is a diffusion-based purification process that separates analyte molecules from a complex matrix. This is accomplished by allowing molecules in the solution to pass through a semipermeable membrane into a liquid on the other side. The membrane is usually made of cellulose acetate or cellulose nitrate, and the second liquid must be miscible with the solution. Ions (e.g., chloride or sodium) or organic molecules (e.g., glucose) can pass through the membrane pores, which generally have...

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Updated: May 20, 2026

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

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Kinetic modeling for dye removal using polyelectrolyte enhanced ultrafiltration.

Sourav Mondal¹, Hedia Ouni, Mahmoud Dhahbi

¹Department of Chemical Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.

Journal of Hazardous Materials

|July 6, 2012

Summary

A new kinetic model simplifies dye removal via polyelectrolyte-enhanced ultrafiltration. This model accurately predicts dye retention, aiding in the design of effective water treatment solutions.

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Area of Science:

Environmental Chemistry
Water Treatment Technologies
Polymer Science

Background:

Polyelectrolyte-enhanced ultrafiltration (PEEU) is a promising technique for dye removal from wastewater.
Existing models often lack generality, limiting their application to specific polyelectrolyte-dye systems.
Understanding the kinetics and equilibrium of dye-polyelectrolyte interactions is crucial for optimizing PEEU processes.

Purpose of the Study:

To develop a generalized kinetic model for dye removal using polyelectrolytes in PEEU.
To validate the model using literature data from three different polyelectrolyte-dye systems.
To investigate the influence of various parameters on dye removal efficiency within the model framework.

Main Methods:

Development of a generalized kinetic model incorporating equilibrium constants.
Case studies using three literature-reported polyelectrolyte-dye systems.
Evaluation of equilibrium constants by minimizing errors between experimental and calculated dye retention data.
Phase space analysis to determine feasible operating regions for dye removal.

Main Results:

The generalized kinetic model demonstrated adequate matching with experimental dye retention data across different systems.
The model successfully accounted for variations in dye and polyelectrolyte concentrations, solution pH, and electrolyte concentration.
Phase space analysis provided insights into optimal conditions for dye removal.

Conclusions:

The proposed generalized kinetic model offers a robust framework for understanding and predicting dye removal in PEEU.
The model's ability to incorporate various parameters facilitates the rational design of engineered polyelectrolytes for efficient dye removal.
This work advances the application of PEEU for effective wastewater treatment.