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The use of a radial basis neural network and genetic algorithm for improving the efficiency of laccase-mediated dye decolourization

Paper ID Volume ID Publish Year Pages File Format Full-Text
23682 43462 2012 8 PDF Available
Title
The use of a radial basis neural network and genetic algorithm for improving the efficiency of laccase-mediated dye decolourization
Abstract

A radial basis function neural network (RBF) and genetic algorithm (GA) were applied to improve the efficiency of the oxidative decolourization of the recalcitrant dye Reactive Black 5 (RB 5) by a technical laccase (Trametes spp.) and the natural mediator acetosyringone (ACS). The decolourization of RB 5 in aqueous solution was studied with a 34 factorial design including different levels of laccase (2, 100, 200 U L−1), acetosyringone (5, 50, 100 μM), pH value (3, 4.5, 6) and incubation time (10, 20, 30 min). The generated RBF network was mathematically evaluated by several statistical indices and revealed better results than a classical quadratic response surface (RS) model. The experimental data showed that within 10 min of incubation time a complete decolourization (>90%) was achieved by using the highest amount of laccase (200 U L−1) and acetosyringone (100 μM) at pH 6. By applying the RBF-GA methodology, the efficiency of the laccase-mediated decolourization was improved by minimising the required amount of laccase and acetosyringone by 25% and 21.7% respectively. Complete decolourization (>90%) was obtained within 10 min at the GA-optimised process conditions of laccase (150 U L−1) and acetosyringone (78.3 μM) at pH 5.67. These results illustrate that the RBF-GA methodology could be a powerful technique during scale-up studies.

► Development of a RBF-GA hybrid model for laccase-mediated dye decolourization. ► The most important process parameters are identified and optimal regulated. ► The RBF-GA approach improved the efficiency of the decolourization process. ► The important cost factors are minimised.

Keywords
ABTS, 2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid); ACS, acetosyringone; Af, accuracy factor; ANN, artificial neural network; Bf, bias factor; HBA, 4-hydroxybenzoic acid; LMS, laccase-mediator system; GA, genetic algorithm; MAPE, mean absolute pe
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The use of a radial basis neural network and genetic algorithm for improving the efficiency of laccase-mediated dye decolourization
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Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Biotechnology - Volume 161, Issue 4, 15 November 2012, Pages 429–436
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us