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Published on: June 14, 2018
Optimization of peroxidase-catalyzed oxidative coupling process for phenol removal from wastewater using response
Salehe Ghasempur1, Seyed-Fakhreddin Torabi, Seyed-Omid Ranaei-Siadat
1Department of Biotechnology, University College of Science, University of Tehran, Tehran, Iran.
This study optimized phenol removal from wastewater using horseradish peroxidase (HRP) and response surface methodology. Economically optimal conditions were identified, achieving high removal rates with minimal enzyme concentration.
Area of Science:
- Environmental Science
- Biotechnology
- Chemical Engineering
Background:
- Hydroxylated aromatic compounds (HACs) are significant pollutants in industrial wastewater.
- Horseradish peroxidase (HRP) offers a viable enzymatic solution for HAC removal.
- Optimization and economic considerations are crucial for HRP-based wastewater treatment.
Purpose of the Study:
- To optimize phenol removal from wastewater using HRP.
- To develop a mathematical model for HRP-based treatment.
- To identify economically viable operating conditions.
Main Methods:
- Response Surface Methodology (RSM) and Central Composite Design (CCD) were employed.
- A half-fractional factorial design identified key independent variables: temperature, pH, enzyme concentration, and H2O2 concentration.
- A second-order polynomial model was fitted to experimental data.
Main Results:
- The model demonstrated high goodness of fit (R² = 0.93, r = 0.96).
- Optimal conditions determined were pH 7.12, 1.72 mM H2O2, and 10°C.
- These conditions achieved high phenol removal with a minimum enzyme concentration of 0.26 unit/mL.
Conclusions:
- The developed model accurately predicts HRP-based phenol removal.
- Optimized conditions offer an economical and efficient approach to wastewater treatment.
- This study provides a framework for improving enzymatic pollutant removal processes.
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