Journal
ACTA SCIENTIARUM-TECHNOLOGY
Volume 35, Issue 3, Pages 565-572Publisher
UNIV ESTADUAL MARINGA, PRO-REITORIA PESQUISA POS-GRADUACAO
DOI: 10.4025/actascitechnol.v35i3.16210
Keywords
resampling; pattern recognition; textile dyes; treatment of effluents; simulation
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Funding
- University Nove de Julho
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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.
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