Journal Pre-proof Sonophotocatalytic treatment of AB113 dye and real textile wastewater using ZnO/ persulfate: Modeling by response surface methodology and artificial neural network Ghorban Asgari, Amir Shabanloo, Mehdi Salari, Fatemeh Eslami PII: S0013-9351(20)30260-7 DOI: https://doi.org/10.1016/j.envres.2020.109367 Reference: YENRS 109367 To appear in: Environmental Research Received Date: 6 October 2019 Revised Date: 8 March 2020 Accepted Date: 8 March 2020 Please cite this article as: Asgari, G., Shabanloo, A., Salari, M., Eslami, F., Sonophotocatalytic treatment of AB113 dye and real textile wastewater using ZnO/persulfate: Modeling by response surface methodology and artificial neural network, Environmental Research (2020), doi: https://doi.org/10.1016/ j.envres.2020.109367. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Inc.