Synthesis of nano-SnO2 and neural network simulation of its photocatalytic properties

Kandjani, A. E.; Salehpoor, P.; Tabriz, M. F.; Arefian, N. A.; Vaezi, M. R.

Artykuł - szczegóły

Tytuł artykułu

Synthesis of nano-SnO2 and neural network simulation of its photocatalytic properties

Autorzy

Kandjani A. E. , Salehpoor P. , Tabriz M. F. , Arefian N. A. , Vaezi M. R.

Wybrane pełne teksty z tego czasopisma

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Warianty tytułu

Języki publikacji

Abstrakty

Decolouration of Acid Red 27 (AR27) was investigated using UV irradiation in the presence of SnO2 nanoparticles synthesized via the hydrothermal method. The average crystallite size of SnO2 nanoparticles synthesized for 2 h was about 3.73 nm, according to X-ray analysis, and the specific surface area, which was estimated from the Halsey based t plot, was about 288 m2/g. The effects of UV irradiation in the absence of a photocatalyst and in the presence of pure SnO2 nanoparticles without any light source were negligible. An artificial neural network (ANN) was used to build an empirical model for the results. The results of neural network analysis are in good agreement with the experimental data which show that AR27 decolouration exhibits pseudo-first-order kinetic behaviour.

Słowa kluczowe

heterogeneous photocatalyst advanced oxidation process artificial neural network (ANN)

Wydawca

De Gruyter

Czasopismo

Materials Science Poland

Rocznik

2010

Tom

Vol. 28, No. 2

Strony

377--391

Opis fizyczny

Bibliogr. 40 poz.

Twórcy

autor

Kandjani A. E.

autor

Salehpoor P.

autor

Tabriz M. F.

autor

Arefian N. A.

autor

Vaezi M. R.

Materials and Energy Research Center (MERC) Karaj Iran

Bibliografia

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Bibliografia

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