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Combined photo-fenton-SBR processes for the treatment of wastewater from the citrus processing industry.
J Agric Food Chem. 2015 Jan 21; 63(2):391-7.JA

Abstract

In this study, the photo-Fenton process was combined with a sequencing batch reactor (SBR) for the treatment of synthetic samples of citrus wastewater (CWW). An experimental design based on the surface response methodology was applied to assess the individual and combined effects of several operating parameters (CODinitial, Fe3(+) concentration and H2O2 concentration) on the photo-Fenton treatment efficiency (DOC removal) with the aim of optimizing the process. The experimental results obtained under optimal conditions for CWW with high CODinitial (10000 mgO2/L) showed a partial degradation of organic matter of around of 61% (measured as DOC). Thereafter, the photo-Fenton effluent was neutralized and clarified before being subjected to the SBR reactor. The results show degradation yields up to 93% of the initial DOC removal without producing undesired side effects, using a hydraulic retention time (HRT) of 1.59 d. The final effluent contained a concentration of organic matter (measured as COD) of 120 mg O2/L.

Authors+Show Affiliations

Department of Chemical Engineering and Environmental Technologies, University of Zaragoza , C/María de Luna 3, 50018 Zaragoza, Spain.No affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

25531123

Citation

Guzmán, José, et al. "Combined photo-fenton-SBR Processes for the Treatment of Wastewater From the Citrus Processing Industry." Journal of Agricultural and Food Chemistry, vol. 63, no. 2, 2015, pp. 391-7.
Guzmán J, Mosteo R, Ormad MP, et al. Combined photo-fenton-SBR processes for the treatment of wastewater from the citrus processing industry. J Agric Food Chem. 2015;63(2):391-7.
Guzmán, J., Mosteo, R., Ormad, M. P., & Ovelleiro, J. L. (2015). Combined photo-fenton-SBR processes for the treatment of wastewater from the citrus processing industry. Journal of Agricultural and Food Chemistry, 63(2), 391-7. https://doi.org/10.1021/jf505377a
Guzmán J, et al. Combined photo-fenton-SBR Processes for the Treatment of Wastewater From the Citrus Processing Industry. J Agric Food Chem. 2015 Jan 21;63(2):391-7. PubMed PMID: 25531123.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Combined photo-fenton-SBR processes for the treatment of wastewater from the citrus processing industry. AU - Guzmán,José, AU - Mosteo,Rosa, AU - Ormad,María P, AU - Ovelleiro,José L, Y1 - 2015/01/12/ PY - 2014/12/23/entrez PY - 2014/12/23/pubmed PY - 2015/7/24/medline KW - SBR KW - citrus KW - photo-Fenton KW - wastewater SP - 391 EP - 7 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 63 IS - 2 N2 - In this study, the photo-Fenton process was combined with a sequencing batch reactor (SBR) for the treatment of synthetic samples of citrus wastewater (CWW). An experimental design based on the surface response methodology was applied to assess the individual and combined effects of several operating parameters (CODinitial, Fe3(+) concentration and H2O2 concentration) on the photo-Fenton treatment efficiency (DOC removal) with the aim of optimizing the process. The experimental results obtained under optimal conditions for CWW with high CODinitial (10000 mgO2/L) showed a partial degradation of organic matter of around of 61% (measured as DOC). Thereafter, the photo-Fenton effluent was neutralized and clarified before being subjected to the SBR reactor. The results show degradation yields up to 93% of the initial DOC removal without producing undesired side effects, using a hydraulic retention time (HRT) of 1.59 d. The final effluent contained a concentration of organic matter (measured as COD) of 120 mg O2/L. SN - 1520-5118 UR - https://www.unboundmedicine.com/medline/citation/25531123/Combined_photo_fenton_SBR_processes_for_the_treatment_of_wastewater_from_the_citrus_processing_industry_ DB - PRIME DP - Unbound Medicine ER -