Kinetic modelling and simulation of laccase catalyzed degradation of reactive textile dyes.

Bioresour Technol

Laboratory of Separation and Reaction Engineering, Departamento de Engenharia Química, Faculdade de Engenharia, Universidade do Porto, Rua do Dr. Roberto Frias, 4200-465 Porto, Portugal.

Published: July 2008

AI Article Synopsis

  • A kinetic model using the Michaelis-Menten equation was created to simulate the dye decolorization process by commercial laccase for various reactive dyes (RB5, RB114, RY15, RR239, RR180).
  • The model addresses the unique kinetic behavior seen in some reactions by incorporating the activation of the laccase-mediator system and involved performing a series of reactions in batch reactors to gather time course data.
  • The theoretical time courses calculated from this model were compared to experimental results, leading to the estimation of kinetic constants and demonstrating a strong correlation between predicted and actual outcomes, supporting the model's reliability.

Article Abstract

A kinetic model based on Michaelis-Menten equation was developed to simulate the dye decolourisation of Reactive Black 5 (RB5), Reactive Blue 114 (RB114), Reactive Yellow 15 (RY15), Reactive Red 239 (RR239) and Reactive Red 180 (RR180) dyes by commercial laccase. The unusual kinetic behavior of some of these reactions suggests that the kinetic model must consider the activation of the laccase-mediator system. Several reactions at different concentrations of each dye were performed in batch reactors and time courses were obtained. A LSODE code to solve the differential equation obtained from the batch reactor was combined with an optimization Fortran program to obtain the theoretical time courses. The time courses obtained from the developed program were compared with the experimentally obtained ones to estimate the kinetic constants that minimized the difference between them. The close correlation between the predicted and the experimental results seems to support the reliability of the established models.

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Source
http://dx.doi.org/10.1016/j.biortech.2007.09.059DOI Listing

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