Computational and statistical modeling for parameters optimization of electrochemical decontamination of synozol red dye wastewater.


Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
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

126673

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Saad Ullah Khan (SU)

Faculty of Materials and Chemical Engineering, GIK Institute of Engineering Sciences and Technology, Topi, 23460, Pakistan; Institute of Chemistry Araraquara, São Paulo State University (UNESP), Av. Prof. Francisco Degni 55, Araraquara, SP, 14800-060, Brazil.

Hammad Khan (H)

Faculty of Materials and Chemical Engineering, GIK Institute of Engineering Sciences and Technology, Topi, 23460, Pakistan.

Sajid Anwar (S)

Faculty of Computer Sciences and Engineering, GIK Institute of Engineering Sciences and Technology, Topi, 23460, Pakistan.

Sabir Khan (S)

Institute of Chemistry Araraquara, São Paulo State University (UNESP), Av. Prof. Francisco Degni 55, Araraquara, SP, 14800-060, Brazil.

Maria V Boldrin Zanoni (MV)

Institute of Chemistry Araraquara, São Paulo State University (UNESP), Av. Prof. Francisco Degni 55, Araraquara, SP, 14800-060, Brazil; National Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutants and Radioactivies (INCT-DATREM), São Paulo State University (UNESP), Institute of Chemistry, Araraquara, SP, 14800-060, Brazil.

Sajjad Hussain (S)

Faculty of Materials and Chemical Engineering, GIK Institute of Engineering Sciences and Technology, Topi, 23460, Pakistan; Faculdade de Engenharias, Arquitetura e Urbanismo e Geografia, Universidade Federal de Mato Grosso do Sul, Cidade Universitária, CEP 79070-900, Campo Grande, MS, Brazil. Electronic address: sajjad.hussain@giki.edu.pk.

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Classifications MeSH