Statistical Modeling and Optimization of Process Parameters for 2,4-Dichlorophenoxyacetic Acid Removal by Using AC/PDMAEMA Hydrogel Adsorbent: Comparison of Different RSM Designs and ANN Training Methods

Statistical Modeling and Optimization of Process Parameters for 2,4-Dichlorophenoxyacetic Acid Removal by Using AC/PDMAEMA Hydrogel Adsorbent: Comparison of Different RSM Designs and ANN Training Methods

In this study, the response surface methodology (RSM) and artificial neural network (ANN) were employed to study the adsorption process of 2,4-dichlorophenoxyacetic acid (2,4-D) by using modified hydrogel, i.e., activated carbon poly(dimethylaminoethyl methacrylate) (AC/PDMAEMA hydrogel). The effect...

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Bibliographic Details
Main Authors: Irvan Dahlan, Emillia Eizleen Md Azhar, Siti Roshayu Hassan, Hamidi Abdul Aziz, Yung-Tse Hung
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Water
Subjects:
adsorption
response surface methodology
artificial neural network
activated carbon
adsorption capacity
modeling
Online Access:https://www.mdpi.com/2073-4441/14/19/3061

Internet

https://www.mdpi.com/2073-4441/14/19/3061

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