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Toxicity effects of nickel electroplating effluents treated by photoelectrooxidation in the industries of the Sinos River Basin

Overview of attention for article published in Brazilian Journal of Biology, May 2015
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Title
Toxicity effects of nickel electroplating effluents treated by photoelectrooxidation in the industries of the Sinos River Basin
Published in
Brazilian Journal of Biology, May 2015
DOI 10.1590/1519-6984.1113
Pubmed ID
Authors

T Benvenuti, MAS Rodrigues, A Arenzon, AM Bernardes, J Zoppas-Ferreira

Abstract

<p>The Sinos river Basin is an industrial region with many tanneries and electroplating plants in southern Brazil. The wastewater generated by electroplating contains high loads of salts and metals that have to be treated before discharge. After conventional treatment, this study applied an advanced oxidative process to degrade organic additives in the electroplating bright nickel baths effluent. Synthetic rinsing water was submitted to physical-chemical coagulation for nickel removal. The sample was submitted to ecotoxicity tests, and the effluent was treated by photoelectrooxidation (PEO). The effects of current density and treatment time were evaluated. The concentration of total organic carbon (TOC) was 38% lower. The toxicity tests of the effluent treated using PEO revealed that the organic additives were partially degraded and the concentration that is toxic for test organisms was reduced.</p>.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 24%
Professor 3 18%
Student > Ph. D. Student 3 18%
Student > Doctoral Student 2 12%
Researcher 1 6%
Other 0 0%
Unknown 4 24%
Readers by discipline Count As %
Materials Science 4 24%
Engineering 3 18%
Environmental Science 2 12%
Psychology 1 6%
Chemical Engineering 1 6%
Other 0 0%
Unknown 6 35%