Computational and statistical modeling for parameters optimization of electrochemical decontamination of synozol red dye wastewater.
Degradation
Dyes wastewater
Electrochemical degradation
Modeling
Optimization
Journal
Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
received:
03
02
2020
revised:
31
03
2020
accepted:
31
03
2020
pubmed:
18
4
2020
medline:
1
7
2020
entrez:
18
4
2020
Statut:
ppublish
Résumé
In this study, computational and statistical models were applied to optimize the inherent parameters of an electrochemical decontamination of synozol red. The effect of various experimental variables such as current density, initial pH and concentration of electrolyte on degradation were assessed at Ti/RuO
Identifiants
pubmed: 32302900
pii: S0045-6535(20)30866-3
doi: 10.1016/j.chemosphere.2020.126673
pii:
doi:
Substances chimiques
Azo Compounds
0
Waste Water
0
Water Pollutants, Chemical
0
synozol red
0
Titanium
D1JT611TNE
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
126673Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.