Literature DB >> 21093983

Photooxidation processes for an azo dye in aqueous media: modeling of degradation kinetic and ecological parameters evaluation.

Hrvoje Kusic1, Daria Juretic, Natalija Koprivanac, Vedrana Marin, Ana Lončarić Božić.   

Abstract

Three photooxidation processes, UV/H(2)O(2), UV/S(2)O(8)(2-) and UV/O(3) were applied to the treatment of model wastewater containing non-biodegradable organic pollutant, azo dye Acid Orange 7 (AO7). Dye degradation was monitored using UV/VIS and total organic carbon (TOC) analysis, determining decolorization, the degradation/formation of naphthalene and benzene structured AO7 by-products, and the mineralization of model wastewater. The water quality during the treatment was evaluated on the bases of ecological parameters: chemical (COD) and biochemical (BOD(5)) oxygen demand and toxicity on Vibrio fischeri determining the EC(50) value. The main goals of the study were to develop an appropriate mathematic model (MM) predicting the behavior of the systems under investigation, and to evaluate the toxicity and biodegradability of the model wastewater during treatments. MM developed showed a high accuracy in predicting the degradation of AO7 when considering the following observed parameters: decolorization, formation/degradation of by-products and mineralization. Good agreement of the data predicted and the empirically obtained was confirmed by calculated standard deviations. The biodegradability of model wastewater was significantly improved by three processes after mineralizing a half of the initially present organic content. The toxicity AO7 model wastewater was decreased as well. The differences in monitored ecological parameters during the treatment indicated the formation of different by-products of dye degradation regarding the oxidant type applied.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21093983     DOI: 10.1016/j.jhazmat.2010.10.087

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  1 in total

1.  Using full chloroplast genomes of 'red' and 'yellow' Bixa orellana (achiote) for kmer based identification and phylogenetic inference.

Authors:  Jorge Villacrés-Vallejo; José Aranda-Ventura; Anna Wallis; Robin Cagle; Sara M Handy; Jeffery Davis; Elizabeth Reed; Shu Zhang; Errol Strain; Monica Pava-Ripoll; David Erickson; Padmini Ramachandran; Andrea Ottesen
Journal:  BMC Genomics       Date:  2020-08-06       Impact factor: 3.969

  1 in total

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