Effective degradation of bentazone by two-dimensional and three-phase, three-dimensional electro-oxidation system: kinetic studies and optimization using ANN.
Artificial neural network (ANN)
Bentazone degradation
Electro oxidation reactor
Loaded particle electrodes
TEPA
Three phase, three dimensional
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
06 Aug 2024
06 Aug 2024
Historique:
received:
22
04
2024
accepted:
22
07
2024
medline:
7
8
2024
pubmed:
7
8
2024
entrez:
6
8
2024
Statut:
aheadofprint
Résumé
Bentazone is a broad-leaved weed-specific herbicide in the pesticide industry. This study focused on removing bentazone from water using three different methods: a two and three-dimensional electro-oxidation process (2D/EOP and 3D/EOP) with a fluid-type reactor arrangement using tetraethylenepentamine-loaded particle electrodes and an adsorption method. Additionally, we analysed the effects of two types of supporting electrolytes (Na
Identifiants
pubmed: 39107643
doi: 10.1007/s11356-024-34493-2
pii: 10.1007/s11356-024-34493-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Eskişehir Osmangazi Üniversitesi
ID : FBA-2021-1591
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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