Response Surface Methodology for Optimization of Enzyme-Catalyzed Azo Dye Decolorization
Publication: Journal of Environmental Engineering
Volume 145, Issue 5
Abstract
Azo dyes are a water-pollution problem causing damage to ecosystems and human health. Soybean peroxidase–catalyzed reactions of azo dyes, Acid blue 113 (AB113) and Direct black 38 (DB38), were optimized for color removal using response surface methodology on a Box–Behnken design (BBD). Parameters optimized were concentration (mM), pH, and enzyme concentration (; U is a standard unit of catalytic activity). Optimum conditions for AB113 were pH 4.49, 2.57 mM , and of enzyme for a predicted 5.6% color remaining (experimental value of 8.1%) and value of 99.68%; and for DB38 the conditions were pH 3.68, 2.92 mM , and of enzyme for a predicted 3.6% color remaining (experimental value of 5.1%) and value of 99.07%. In addition, the agreement with the one-factor-at-a-time approach was checked. The BBD is a less time-consuming approach that allows identification of interactions between parameters. Kinetic studies (Michaelis–Menten model) quantitatively confirmed the efficiency and effectiveness of enzymatic dye treatment.
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Acknowledgments
We want to thank NSERC Canada, University of Windsor, and CONACyT Mexico for financial support.
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Published In
Journal of Environmental Engineering
Volume 145 • Issue 5 • May 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jun 19, 2018
Accepted: Oct 2, 2018
Published online: Feb 19, 2019
Published in print: May 1, 2019
Discussion open until: Jul 19, 2019
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