Photo-Fenton process under sunlight irradiation for textile wastewater degradation: monitoring of residual hydrogen peroxide by spectrophotometric method and modeling artificial neural network models to predict treatment
In this work, a procedure was elaborated to quantify hydrogen peroxide (H 2 O 2 ) after degradation tests of dyes present in a synthetic textile matrix. For this purpose, based on the intensity of radiation absorption of the peroxovanadium cation, which was formed by the reaction between the oxidant...
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| Published in: | Chemical papers Vol. 75; no. 6; pp. 2305 - 2316 |
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| Main Authors: | , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cham
Springer International Publishing
01-06-2021
|
| Subjects: | |
| Online Access: | Get full text |
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| Summary: | In this work, a procedure was elaborated to quantify hydrogen peroxide (H
2
O
2
) after degradation tests of dyes present in a synthetic textile matrix. For this purpose, based on the intensity of radiation absorption of the peroxovanadium cation, which was formed by the reaction between the oxidant and vanadate ions, ultraviolet/visible spectrophotometry technique was used. The most suitable experimental condition was composed of concentrations of 0.05 mol L
−1
(NH
4
VO
3
) and 0.3 mol L
−1
(H
2
SO
4
). The system for dye treatment involved the photo-Fenton process under simulated sunlight. In this case, concentrations of 900 mg L
−1
(H
2
O
2
) and 4 mg L
−1
(iron) in pH 3 were the most efficient for degrading contaminants. An efficiency of 94.49% was obtained after 180 min of reaction, the time in which the presence of the oxidant was no longer verified. The kinetic monitoring showed a two-stage degradation, described with accuracy greater than 96% by the linear and non-linear kinetic models of pseudo-first order. Additionally, the degradation under natural solar radiation was also studied, which resulted in an efficiency of 92.45% after 360 min and in the presence of the residual oxidant. Finally, via mathematical modeling and employing a Multilayer Perceptron neural network, with a 3-10-2 topology and BFGS 387 training algorithm, it was possible to predict the degradation and H
2
O
2
residual concentration with an accuracy greater than 98%. Therefore, the degradation study developed and the proposed methodology for determining residual H
2
O
2
proved to be adequate and capable of contributing positively to related research.
Graphic abstract |
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| ISSN: | 2585-7290 1336-9075 |
| DOI: | 10.1007/s11696-020-01449-y |