Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples-Reference-Cited by-同舟云学术

Application of PSO-artificial neural network and response surface methodology for removal of methylene blue using silver nanoparticles from water samples

Published:2013-09 Issue:5 Volume:19 Page:1624-1630
ISSN:1226-086X
Container-title:Journal of Industrial and Engineering Chemistry
language:en
Short-container-title:Journal of Industrial and Engineering Chemistry

Author:

Khajeh Mostafa,Kaykhaii Massoud,Sharafi Arezoo

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference20 articles.

1. Methylene blue adsorption onto swede rape straw (Brassica napus L.) modified by tartaric acid: Equilibrium, kinetic and adsorption mechanisms

2. Adsorption of methylene blue by kapok fiber treated by sodium chlorite optimized with response surface methodology

3. Kinetic and equilibrium studies: Adsorption of food dyes Acid Yellow 6, Acid Yellow 23, and Acid Red 18 on activated carbon from flamboyant pods

4. Adsorptive removal of methylene blue by tea waste

5. Preparation and evaluation of a magnetite-doped activated carbon fiber for enhanced arsenic removal

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