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Optimized treatment conditions for textile wastewater reuse using photocatalytic processes under UV and visible light sources

  • AOPs: Recent Advances to Overcome Barriers in the Treatment of Water, Wastewater and Air
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Abstract

In this study, photo-Fenton systems using visible light sources with iron and ferrioxalate were tested for the DOC degradation and decolorization of textile wastewater. Textile wastewaters originated after the dyeing stage of dark-colored tissue in the textile industry, and the optimization of treatment processes was studied to produce water suitable for reuse. Dissolved organic carbon, absorbance, turbidity, anionic concentrations, carboxylic acids, and preliminary cost analysis were performed for the proposed treatments. Conventional photo-Fenton process achieved near 99 % DOC degradation rates and complete absorbance removal, and no carboxylic acids were found as products of degradation. Ferrioxalate photo-Fenton system achieved 82 % of DOC degradation and showed complete absorbance removal, and oxalic acid has been detected through HPLC analysis in the treated sample. In contrast, photo-peroxidation with UV light was proved effective only for absorbance removal, with DOC degradation efficiency near 50 %. Treated wastewater was compared with reclaimed water and had a similar quality, indicating that these processes can be effectively applied for textile wastewater reuse. The results of the preliminary cost analysis indicated costs of 0.91 to 1.07 US$ m−3 for the conventional and ferrioxalate photo-Fenton systems, respectively.

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Acknowledgements

The authors would like to thank FAPEMIG, CAPES, CNPQ, and BNDES for their financial support and the textile industry for their trustworthy collaboration.

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Correspondence to Camila C. Amorim.

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Responsible editor: Bingcai Pan

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Starling, M.C.V.M., Castro, L.A.S., Marcelino, R.B.P. et al. Optimized treatment conditions for textile wastewater reuse using photocatalytic processes under UV and visible light sources. Environ Sci Pollut Res 24, 6222–6232 (2017). https://doi.org/10.1007/s11356-016-6157-8

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  • DOI: https://doi.org/10.1007/s11356-016-6157-8

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