A bootstrapped neural network model applied to prediction of the biodegradation rate of reactive Black 5 dye - doi: 10.4025/actascitechnol.v35i3.16210

Kleber Rogério Moreira Prado, Jorge Marcos Rosa, José Carlos Curvelo Santana, Elias Tambourgi, Wonder Alexandre Luz Alves, Fabio Henrique Pereira


Current essay forwards a biodegradation model of a dye, used in the textile industry, based on a neural network propped by bootstrap remodeling. Bootstrapped neural network is set to generate estimates that are close to results obtained in an intrinsic experience in which a chemical process is applied. Pseudomonas oleovorans was used in the biodegradation of reactive Black 5. Results show a brief comparison between the information estimated by the proposed approach and the experimental data, with a coefficient of correlation between real and predicted values for a more than 0.99 biodegradation rate. Dye concentration and the solution’s pH failed to interfere in biodegradation index rates. A value above 90% of dye biodegradation was achieved between 1.000 and 1.841 mL 10 mL-1 of microorganism concentration and between 1.000 and 2.000 g 100 mL-1 of glucose concentration within the experimental conditions under analysis.




resampling; pattern recognition; textile dyes; treatment of effluents; simulation

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DOI: http://dx.doi.org/10.4025/actascitechnol.v35i3.16210

ISSN 1806-2563 (impresso) e ISSN 1807-8664 (on-line) e-mail: actatech@uem.br


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