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- Title
Modeling and predicting the photodecomposition of methylene blue via ZnO-SnO hybrids using design of experiments (DOE).
- Authors
Abbasi, Sedigheh; Ekrami-Kakhki, Mehri-Saddat; Tahari, Mostafa
- Abstract
In this research, we synthesize two kinds of hybrids containing decorated ZnO nanoparticles with different amount of SnO nanoparticles. The photocatalytic activity of the prepared hybrids is evaluated by photodecomposition of methylene blue as an organic pollutant. The synthesized hybrids characterized using transmission electron microscopy (TEM). TEM images show that the increasing the SnO precursor leads the enhancement of the SnO nanoparticles content in the hybrids. Statistical analysis study based on the design of experiments reveals that both of the studied main factors (time and weight fraction) and their interactions have a reasonable effect on the removal efficiency of methylene blue. Meanwhile, the results show that the photocatalytic activity of the prepared hybrids increases with respect to the irradiation time and weight fraction. In addition, the photocatalytic activity of the both hybrids can predict using proposed statistical models. The adequacy study of the models reveals that all of the proposed models can estimate the removal efficiency of the pollutant with high accuracy.
- Subjects
METHYLENE blue; ZINC oxide; TIN oxides; EXPERIMENTAL design; TRANSMISSION electron microscopy
- Publication
Journal of Materials Science: Materials in Electronics, 2017, Vol 28, Issue 20, p15306
- ISSN
0957-4522
- Publication type
Article
- DOI
10.1007/s10854-017-7414-4