| Título: |
A bootstrapped neural network model applied to prediction of the biodegradation rate of reactive Black 5 dye - doi: 10.4025/actascitechnol.v35i3.16210 |
| Autores: |
Prado, Kleber Rogério Moreira; Universidade Nove de Julho Rosa, Jorge Marcos; Faculdade de Tecnologia SENAI Antoine Skaf Santana, José Carlos Curvelo; Universidade Nove de Julho Tambourgi, Elias; Universidade Estadual de Campinas Alves, Wonder Alexandre Luz; Universidade Nove de Julho Pereira, Fabio Henrique; Universidade Nove de Julho |
| Fecha: | 2013-06-21 |
| Publicador: | Acta Scientiarum. Techonology |
| Fuente: |
 |
| Tipo: |
modeling; experimental design |
| Tema: |
3.00.00.00-9 resampling; pattern recognition; textile dyes; treatment of effluents; simulation Engenharia Química |
| Descripción: |
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. |
| Idioma: | Inglés |