Modeling and optimization of antidepressant drug Fluoxetine removal in aqueous media by ozone/H2O2 process: Comparison of central composite design and artificial neural network approaches-Reference-Cited by-同舟云学术

Modeling and optimization of antidepressant drug Fluoxetine removal in aqueous media by ozone/H2O2 process: Comparison of central composite design and artificial neural network approaches

Published:2015-03 Issue: Volume:48 Page:40-48
ISSN:1876-1070
Container-title:Journal of the Taiwan Institute of Chemical Engineers
language:en
Short-container-title:Journal of the Taiwan Institute of Chemical Engineers

Author:

Aghaeinejad-Meybodi A.,Ebadi A.,Shafiei S.,Khataee A.R.,Rostampour M.

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference43 articles.

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2. Photooxidation of the antidepressant drug Fluoxetine (Prozac(R)) in aqueous media by hybrid catalytic/ozonation processes;Mendez-Arriaga;Water Res,2011

3. Laboratory persistence and fate of fluoxetine in aquatic environments;Kwon;Environ Toxicol Chem,2006

4. Simultaneous monitoring of photocatalysis of three pharmaceuticals by immobilized TiO2 nanoparticles: chemometric assessment, intermediates identification and ecotoxicological evaluation;Khataee;Spectrochim Acta A Mol Biomol Spectrosc,2013

5. Removal of residual pharmaceuticals from aqueous systems by advanced oxidation processes;Klavarioti;Environ Int,2009

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