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Applying sequential injection analysis (SIA) and response surface methodology for optimization of Fenton-based

Allan C V dos Santos¹, Jorge C Masini

¹Instituto de Química, Universidade de São Paulo, São Paulo, Brazil.

|December 10, 2008

Summary

This study optimized Fenton-based processes using sequential injection analysis (SIA) and response surface methodology for efficient dye degradation. The optimized method achieved 99.7% dye removal and reduced TOC, showcasing low reagent use and high throughput.

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Area of Science:

Environmental Chemistry
Analytical Chemistry

Background:

Anthraquinone dyes, widely used in coatings, pose environmental challenges.
Fenton-based processes are effective for dye degradation but require optimization.

Purpose of the Study:

To optimize Fenton-based degradation of Alizarin red S dye using SIA and response surface methodology.
To evaluate the efficiency of the optimized process in terms of dye removal and TOC reduction.

Main Methods:

Sequential Injection Analysis (SIA) system for automated reagent addition and on-line sampling.
Response Surface Methodology (RSM) for optimizing key reaction parameters (ratios and pH).
Flow-through spectrophotometry for real-time monitoring of dye color reduction.

Main Results:

Achieved 99.7% degradation of Alizarin red S dye.
Reduced Total Organic Carbon (TOC) content by 65% (to 35% of original value).
Demonstrated low reagent consumption and high sampling throughput with the SIA system.

Conclusions:

The combined SIA and RSM approach effectively optimized the Fenton process for dye wastewater treatment.
The optimized process offers an efficient and sustainable solution for industrial dye removal.
SIA provides a robust platform for process monitoring and optimization in environmental applications.