2017
DOI: 10.1016/j.cherd.2017.10.012
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Modeling and optimization of a photocatalytic process: Degradation of endocrine disruptor compounds by Ag/ZnO

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Cited by 18 publications
(6 citation statements)
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“…This work aimed to understand and improve the photocatalytic efficiency of ZnO over the photodegradation, in batch and continuous systems, of water contaminants, particularly endocrine disrupting compounds such as BPA. It is part of a wider study made of three complementary steps related to: the synthesis of Ag/ZnO nanoparticles, their immobilization inside of a cross‐linked PAA matrix, and the evaluation and the optimization of the photocatalytic activity of the obtained Ag/ZnO‐PAA composite …”
Section: Discussionmentioning
confidence: 99%
“…This work aimed to understand and improve the photocatalytic efficiency of ZnO over the photodegradation, in batch and continuous systems, of water contaminants, particularly endocrine disrupting compounds such as BPA. It is part of a wider study made of three complementary steps related to: the synthesis of Ag/ZnO nanoparticles, their immobilization inside of a cross‐linked PAA matrix, and the evaluation and the optimization of the photocatalytic activity of the obtained Ag/ZnO‐PAA composite …”
Section: Discussionmentioning
confidence: 99%
“…The typical input feed-forward multilayer ANN (MLP) was combined with a training algorithm for ANN modeling at this level. MLPs are straightforward universal approximators and are frequently considered for modeling physicochemical processes (Jasso-Salcedo et al, 2017;Moghri et al, 2017).…”
Section: Artificial Neural Network Modelingmentioning
confidence: 99%
“…This is not a trivial problem in photocatalysis and artificial neural network tools (ANNs) do not demand of academic expertise for a fast implementation; for example, in the industry sector. The reader can consult [3] for the approach that Meimaroglou and collaborators follow to assess ZnO photocatalyst structure-photocatalytic performance associations toward the maximization of the photocatalytic efficiency. The first two challenges are addressed in the present chapter.…”
Section: Zinc Oxidementioning
confidence: 99%
“…Furthermore, 1%Ag/ZnO-PD11,1 photocatalytic activity is 370% faster than ZnO attributed to the photoexcited electron trapping in the metallic primary (e À /h + pair) and secondary active species (free radicals, i.e., • OH) for the oxidation of bisphenol-A. The effect of pH, photocatalyst dosage, and bisphenol-A concentration on the kinetic rate constant were also studied extensively and reported [3].…”
Section: Zno Modification By Inorganic Molecules: Silvermentioning
confidence: 99%