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Modeling and Optimization of Heterogeneous Photo-Fenton Process with Response Surface Methodology and Artificial Neural Networks

โœ Scribed by Kasiri, M. B.; Aleboyeh, H.; Aleboyeh, A.


Book ID
115460234
Publisher
American Chemical Society
Year
2008
Tongue
English
Weight
558 KB
Volume
42
Category
Article
ISSN
0013-936X

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Optimization of photo-Fenton degradation of copper phthalocyanine blue was achieved by response surface methodology (RSM) constructed with the aid of a sequential injection analysis (SIA) system coupled to a homemade photo-reactor. Highest degradation percentage was obtained at the following conditi