Modeling and optimization of a photocatalytic process: Degradation of endocrine disruptor compounds by Ag/ZnO - Université de Lorraine Access content directly
Journal Articles Chemical Engineering Research and Design Year : 2017

Modeling and optimization of a photocatalytic process: Degradation of endocrine disruptor compounds by Ag/ZnO

Abstract

19 Artificial neural network (ANN) modeling was applied to study the photocatalytic degradation of 20 bisphenol-A. The operating conditions of the Ag/ZnO photocatalyst synthesis and its 21 performance were simultaneously modeled and subsequently optimized to target the highest 22 efficiency in terms of the degradation reaction rate. Two ANN models were developed to 23 simulate the stages of the photocatalyst synthesis and photodegradation performance, 24
Fichier principal
Vignette du fichier
Revised Manuscript_PostScript.pdf (1.91 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01629305 , version 1 (08-02-2018)

Identifiers

Cite

Alma Berenice Jasso-Salcedo, Sandrine Hoppe, Fernand Pla, Vladimir Alonso Escobar-Barrios, Mauricio Camargo, et al.. Modeling and optimization of a photocatalytic process: Degradation of endocrine disruptor compounds by Ag/ZnO. Chemical Engineering Research and Design, 2017, 128, pp.174 - 191. ⟨10.1016/j.cherd.2017.10.012⟩. ⟨hal-01629305⟩
236 View
507 Download

Altmetric

Share

Gmail Facebook X LinkedIn More