Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria Inactivation
In this work, the Fenton technology was applied to decolorize methylene blue (MB) and to inactivate <i>Escherichia coli</i> K12, used as recalcitrant compound and bacteria models respectively, in order to provide an approach into single and combinative effects of the main process variabl...
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MDPI AG
2020-12-01
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| Series: | Catalysts |
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| Online Access: | https://www.mdpi.com/2073-4344/10/12/1483 |
| _version_ | 1797544180673675264 |
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| author | Pablo Salgado José Luis Frontela Gladys Vidal |
| author_facet | Pablo Salgado José Luis Frontela Gladys Vidal |
| author_sort | Pablo Salgado |
| collection | DOAJ |
| description | In this work, the Fenton technology was applied to decolorize methylene blue (MB) and to inactivate <i>Escherichia coli</i> K12, used as recalcitrant compound and bacteria models respectively, in order to provide an approach into single and combinative effects of the main process variables influencing the Fenton technology. First, Box–Behnken design (BBD) was applied to evaluate and optimize the individual and interactive effects of three process parameters, namely Fe<sup>2+</sup> concentration (6.0 × 10<sup>−4</sup>, 8.0 × 10<sup>−4</sup> and 1.0 × 10<sup>−3</sup> mol/L), molar ratio between H<sub>2</sub>O<sub>2</sub> and Fe<sup>2+</sup> (1:1, 2:1 and 3:1) and pH (3.0, 4.0 and 5.0) for Fenton technology. The responses studied in these models were the degree of MB decolorization (D<sub>%</sub><sup>MB</sup>), rate constant of MB decolorization (k<sub>app</sub><sup>MB</sup>) and <i>E. coli</i> K12 inactivation in uLog units (I<sub>uLog</sub><sup>EC</sup>). According to the results of analysis of variances all of the proposed models were adequate with a high regression coefficient (R<sup>2</sup> from 0.9911 to 0.9994). BBD results suggest that [H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] values had a significant effect only on D<sub>%</sub><sup>MB</sup> response, [Fe<sup>2+</sup>] had a significant effect on all the responses, whereas pH had a significant effect on D<sub>%</sub><sup>MB</sup> and I<sub>uLog</sub><sup>EC</sup>. The optimum conditions obtained from response surface methodology for D<sub>%</sub><sup>MB</sup> ([H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] = 2.9, [Fe<sup>2+</sup>] = 1.0 × 10<sup>−3</sup> mol/L and pH = 3.2), k<sub>app</sub><sup>MB</sup> ([H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] = 1.7, [Fe<sup>2+</sup>] = 1.0 × 10<sup>−3</sup> mol/L and PH = 3.7) and I<sub>uLog</sub><sup>EC</sup> ([H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] = 2.9, [Fe<sup>2+</sup>] = 7.6 × 10<sup>−4</sup> mol/L and pH= 3.2) were in good agreement with the values predicted by the model. |
| first_indexed | 2024-03-10T13:56:45Z |
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| spelling | doaj.art-fde8f105092244248c804fc621fbde442023-11-21T01:37:01ZengMDPI AGCatalysts2073-43442020-12-011012148310.3390/catal10121483Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria InactivationPablo Salgado0José Luis Frontela1Gladys Vidal2Grupo de Ingeniería y Biotecnología Ambiental, Facultad de Ciencias Ambientales y Centro EULA-Chile, Universidad de Concepción, Concepción 4070386, ChileGrupo de Ingeniería y Biotecnología Ambiental, Facultad de Ciencias Ambientales y Centro EULA-Chile, Universidad de Concepción, Concepción 4070386, ChileGrupo de Ingeniería y Biotecnología Ambiental, Facultad de Ciencias Ambientales y Centro EULA-Chile, Universidad de Concepción, Concepción 4070386, ChileIn this work, the Fenton technology was applied to decolorize methylene blue (MB) and to inactivate <i>Escherichia coli</i> K12, used as recalcitrant compound and bacteria models respectively, in order to provide an approach into single and combinative effects of the main process variables influencing the Fenton technology. First, Box–Behnken design (BBD) was applied to evaluate and optimize the individual and interactive effects of three process parameters, namely Fe<sup>2+</sup> concentration (6.0 × 10<sup>−4</sup>, 8.0 × 10<sup>−4</sup> and 1.0 × 10<sup>−3</sup> mol/L), molar ratio between H<sub>2</sub>O<sub>2</sub> and Fe<sup>2+</sup> (1:1, 2:1 and 3:1) and pH (3.0, 4.0 and 5.0) for Fenton technology. The responses studied in these models were the degree of MB decolorization (D<sub>%</sub><sup>MB</sup>), rate constant of MB decolorization (k<sub>app</sub><sup>MB</sup>) and <i>E. coli</i> K12 inactivation in uLog units (I<sub>uLog</sub><sup>EC</sup>). According to the results of analysis of variances all of the proposed models were adequate with a high regression coefficient (R<sup>2</sup> from 0.9911 to 0.9994). BBD results suggest that [H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] values had a significant effect only on D<sub>%</sub><sup>MB</sup> response, [Fe<sup>2+</sup>] had a significant effect on all the responses, whereas pH had a significant effect on D<sub>%</sub><sup>MB</sup> and I<sub>uLog</sub><sup>EC</sup>. The optimum conditions obtained from response surface methodology for D<sub>%</sub><sup>MB</sup> ([H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] = 2.9, [Fe<sup>2+</sup>] = 1.0 × 10<sup>−3</sup> mol/L and pH = 3.2), k<sub>app</sub><sup>MB</sup> ([H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] = 1.7, [Fe<sup>2+</sup>] = 1.0 × 10<sup>−3</sup> mol/L and PH = 3.7) and I<sub>uLog</sub><sup>EC</sup> ([H<sub>2</sub>O<sub>2</sub>]/[Fe<sup>2+</sup>] = 2.9, [Fe<sup>2+</sup>] = 7.6 × 10<sup>−4</sup> mol/L and pH= 3.2) were in good agreement with the values predicted by the model.https://www.mdpi.com/2073-4344/10/12/1483recalcitrant compounds<i>E. coli</i> K12methylene blueoptimizationPareto chartperturbation graph |
| spellingShingle | Pablo Salgado José Luis Frontela Gladys Vidal Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria Inactivation Catalysts recalcitrant compounds <i>E. coli</i> K12 methylene blue optimization Pareto chart perturbation graph |
| title | Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria Inactivation |
| title_full | Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria Inactivation |
| title_fullStr | Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria Inactivation |
| title_full_unstemmed | Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria Inactivation |
| title_short | Optimization of Fenton Technology for Recalcitrant Compounds and Bacteria Inactivation |
| title_sort | optimization of fenton technology for recalcitrant compounds and bacteria inactivation |
| topic | recalcitrant compounds <i>E. coli</i> K12 methylene blue optimization Pareto chart perturbation graph |
| url | https://www.mdpi.com/2073-4344/10/12/1483 |
| work_keys_str_mv | AT pablosalgado optimizationoffentontechnologyforrecalcitrantcompoundsandbacteriainactivation AT joseluisfrontela optimizationoffentontechnologyforrecalcitrantcompoundsandbacteriainactivation AT gladysvidal optimizationoffentontechnologyforrecalcitrantcompoundsandbacteriainactivation |