Decolorization enhancement of basic fuchsin by UV/H₂O₂ process: optimization and modeling using Box Behnken design

Area of Science:

• Environmental Chemistry
• Water Treatment Technologies

Background:

• Basic fuchsin dye is a common water pollutant.
• Effective removal of dyes from wastewater is crucial for environmental protection.

Purpose of the Study:

• To optimize the UV/H2O2 process for basic fuchsin dye removal.
• To develop a mathematical model for predicting chemical oxygen demand (COD) abatement.

Main Methods:

• Response Surface Modeling (RSM) using Box-Behnken experimental design (BBD).
• Optimization of initial dye concentration, hydrogen peroxide dosage, and irradiation time.
• Analysis of COD abatement as the response variable.

Main Results:

• A high correlation (R² > 0.98) was found between observed and predicted values.
• Optimal conditions for 99.3% COD abatement were identified.
• Key parameters influencing COD abatement include hydrogen peroxide concentration and irradiation time.

Conclusions:

• The UV/H2O2 process, optimized by BBD, is highly effective for basic fuchsin dye removal.
• The developed mathematical model accurately predicts process performance.
• Efficient wastewater treatment can be achieved with optimized operating conditions.