High-Performance Nanocatalyst for Adsorptive and Photo-Assisted Fenton-Like Degradation of Phenol: Modeling Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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High-Performance Nanocatalyst for Adsorptive and Photo-Assisted Fenton-Like Degradation of Phenol: Modeling Using Artificial Neural Networks

Published:2017-05-16 Issue:7 Volume:204 Page:729-738
ISSN:0098-6445
Container-title:Chemical Engineering Communications
language:en
Short-container-title:Chemical Engineering Communications

Author:

Gazi Mustafa¹^ORCID,Oladipo Akeem Adeyemi²^ORCID,Ojoro Zainab Eniola¹,Gulcan Hayrettin Ozan³

Affiliation:

1. Polymeric Materials Research Laboratory, Chemistry Department, Eastern Mediterranean University, Famagusta, TRNC via Mersin 10, Turkey

2. Faculty of Engineering, Cyprus Science University, Ozankoy, Girne, TRNC via Mersin 10, Turkey

3. Department of Pharmaceutical Chemistry, Eastern Mediterranean University, Famagusta, TRNC via Mersin 10, Turkey

Publisher

Informa UK Limited

Subject

General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00986445.2017.1311253

Reference48 articles.

1. Solar photocatalytic degradation of phenol by TiO2/AC prepared by temperature impregnation method

2. Enhancement of photocatalytic activity of TiO2 by immobilization on activated carbon for degradation of pharmaceuticals

3. Adsorption of phenol using different types of activated bentonites

4. Artificial Neural Networks, Optimization and Kinetic Modeling of Amoxicillin Degradation in Photo-Fenton Process Using Aluminum Pillared Montmorillonite-Supported Ferrioxalate Catalyst

5. Heterogeneous photo-Fenton processes using zero valent iron microspheres for the treatment of wastewaters contaminated with 1,4-dioxane

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