Skip to Main content Skip to Navigation
Journal articles

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
Complete list of metadata

Cited literature [47 references]  Display  Hide  Download

https://hal.univ-lorraine.fr/hal-01629305
Contributor : Dimitrios MEIMAROGLOU Connect in order to contact the contributor
Submitted on : Thursday, February 8, 2018 - 5:18:35 PM
Last modification on : Wednesday, August 31, 2022 - 5:18:37 PM
Long-term archiving on: : Thursday, May 3, 2018 - 4:27:54 PM

File

Revised Manuscript_PostScript....
Files produced by the author(s)

Identifiers

Citation

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, Elsevier, 2017, 128, pp.174 - 191. ⟨10.1016/j.cherd.2017.10.012⟩. ⟨hal-01629305⟩

Share

Metrics

Record views

230

Files downloads

498