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Updated: Feb 26, 2026

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

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Published on: April 9, 2016

p-Nitrophenol degradation by electro-Fenton process: Pathway, kinetic model and optimization using central composite

J Meijide¹, E Rosales¹, M Pazos¹

¹Department of Chemical Engineering University of Vigo, Isaac Newton Building, Campus As Lagoas, Marcosende, 36310, Vigo, Spain.

|July 22, 2017

Summary

This study optimized the electro-Fenton process for degrading p-nitrophenol by developing a kinetic model. The model accurately predicted degradation pathways and was used to optimize operational conditions for efficient chemical treatment.

Keywords:

Central composite design Electro-Fenton Kinetic model Mineralization pathway p-Nitrophenol

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Last Updated: Feb 26, 2026

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

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Published on: April 9, 2016

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Published on: November 27, 2013

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Published on: April 10, 2019

Area of Science:

Environmental Chemistry
Chemical Engineering

Background:

Chemical process scale-up requires understanding reaction kinetics and mechanisms.
Optimizing operational conditions is crucial for efficient industrial chemical production.

Purpose of the Study:

To degrade p-nitrophenol using the electro-Fenton process.
To develop a kinetic model for predicting degradation pathways.
To optimize the electro-Fenton process for p-nitrophenol removal.

Main Methods:

Degradation of p-nitrophenol via electro-Fenton process.
Kinetic modeling using Matlab software.
Optimization using central composite design.

Main Results:

A kinetic model was developed and validated against experimental data.
The model accurately predicted the concentration profiles of p-nitrophenol, intermediates, and by-products.
The electro-Fenton process was optimized by adjusting ferrous ion concentration and current density.

Conclusions:

The developed kinetic model is effective for predicting degradation pathways in the electro-Fenton process.
Process optimization using kinetic modeling enhances the efficiency of p-nitrophenol degradation.
This approach is valuable for chemical process scale-up and reactor design.