A comparative study of photo-Fenton process assisted by natural sunlight, UV-A, or visible LED light irradiation for degradation of real textile wastewater: factorial designs, kinetics, cost assessment, and phytotoxicity studies
The present work aims to evaluate the treatment of the effluent from the textile industry via advanced oxidative processes of photo-Fenton assisted by different sources (natural sunlight, UV-A or visible LED lamps). To identify the best operating conditions, a factorial design was carried out for ea...
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| Veröffentlicht in: | Environmental science and pollution research international 2021-05, Vol.28 (19), p.23912-23928 |
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| creator | de Souza, Ziani S. B. Silva, Maryne P. Fraga, Tiago J. M. Motta Sobrinho, Maurício A. |
| description | The present work aims to evaluate the treatment of the effluent from the textile industry via advanced oxidative processes of photo-Fenton assisted by different sources (natural sunlight, UV-A or visible LED lamps). To identify the best operating conditions, a factorial design was carried out for each process. It was observed that after the optimization of the processes, chemical oxygen demand (COD) removals greater than 88% were achieved. In addition, it was observed that the use of the LED lamp required lower reagent concentrations compared to solar and UV-A sources. A kinetic study was carried out under the best conditions obtained and it was observed that the sources showed rapid evolution, reaching a COD removal equilibrium with 30 min of reaction. Reagent monitoring was also carried out, and it was observed that they were not limiting to the reaction. Phytotoxicity analysis was also satisfactory since the treated effluents allowed a higher relative growth and germination index of the cucumber roots compared to the raw effluent. Finally, the cost analysis indicated that the use of LED lamps resulted in a reduction in electrical consumption compared to the UV-A lamp, as well as a reduction in the cost of reagents due to the lower concentration of reagents required compared to processes assisted by natural sunlight and UV-A. |
| doi_str_mv | 10.1007/s11356-020-12106-y |
| format | Article |
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Reagent monitoring was also carried out, and it was observed that they were not limiting to the reaction. Phytotoxicity analysis was also satisfactory since the treated effluents allowed a higher relative growth and germination index of the cucumber roots compared to the raw effluent. 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B.</creatorcontrib><creatorcontrib>Silva, Maryne P.</creatorcontrib><creatorcontrib>Fraga, Tiago J. M.</creatorcontrib><creatorcontrib>Motta Sobrinho, Maurício A.</creatorcontrib><title>A comparative study of photo-Fenton process assisted by natural sunlight, UV-A, or visible LED light irradiation for degradation of real textile wastewater: factorial designs, kinetics, cost assessment, and phytotoxicity studies</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>The present work aims to evaluate the treatment of the effluent from the textile industry via advanced oxidative processes of photo-Fenton assisted by different sources (natural sunlight, UV-A or visible LED lamps). To identify the best operating conditions, a factorial design was carried out for each process. 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B.</au><au>Silva, Maryne P.</au><au>Fraga, Tiago J. M.</au><au>Motta Sobrinho, Maurício A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparative study of photo-Fenton process assisted by natural sunlight, UV-A, or visible LED light irradiation for degradation of real textile wastewater: factorial designs, kinetics, cost assessment, and phytotoxicity studies</atitle><jtitle>Environmental science and pollution research international</jtitle><stitle>Environ Sci Pollut Res</stitle><addtitle>Environ Sci Pollut Res Int</addtitle><date>2021-05-01</date><risdate>2021</risdate><volume>28</volume><issue>19</issue><spage>23912</spage><epage>23928</epage><pages>23912-23928</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>The present work aims to evaluate the treatment of the effluent from the textile industry via advanced oxidative processes of photo-Fenton assisted by different sources (natural sunlight, UV-A or visible LED lamps). To identify the best operating conditions, a factorial design was carried out for each process. It was observed that after the optimization of the processes, chemical oxygen demand (COD) removals greater than 88% were achieved. In addition, it was observed that the use of the LED lamp required lower reagent concentrations compared to solar and UV-A sources. A kinetic study was carried out under the best conditions obtained and it was observed that the sources showed rapid evolution, reaching a COD removal equilibrium with 30 min of reaction. Reagent monitoring was also carried out, and it was observed that they were not limiting to the reaction. Phytotoxicity analysis was also satisfactory since the treated effluents allowed a higher relative growth and germination index of the cucumber roots compared to the raw effluent. 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| subjects | Advanced Oxidation/Reduction Technologies: An Perspective from Iberoamerican Countries Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Chemical oxygen demand Comparative studies Cost analysis Earth and Environmental Science Ecotoxicology Effluent treatment Effluents Environment Environmental Chemistry Environmental Health Environmental science Factorial design Germination Irradiation Lamps Light emitting diodes Light irradiation Optimization Photodegradation Phytotoxicity Reagents Sunlight Textile industry Textile industry wastewaters Ultraviolet radiation Waste Water Technology Wastewater Wastewater treatment Water Management Water Pollution Control |
| title | A comparative study of photo-Fenton process assisted by natural sunlight, UV-A, or visible LED light irradiation for degradation of real textile wastewater: factorial designs, kinetics, cost assessment, and phytotoxicity studies |
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