Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent

Artificial Neural Network Approach for Modelling of Mercury Ions Removal from Water Using Functionalized CNTs with Deep Eutectic Solvent

Multi-walled carbon nanotubes (CNTs) functionalized with a deep eutectic solvent (DES) were utilized to remove mercury ions from water. An artificial neural network (ANN) technique was used for modelling the functionalized CNTs adsorption capacity. The amount of adsorbent dosage, contact time, mercu...

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Bibliographic Details
Main Authors: Seef Saadi Fiyadh, Mohamed Khalid AlOmar, Wan Zurina Binti Jaafar, Mohammed Abdulhakim AlSaadi, Sabah Saadi Fayaed, Suhana Binti Koting, Sai Hin Lai, Ming Fai Chow, Ali Najah Ahmed, Ahmed El-Shafie
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:International Journal of Molecular Sciences
Subjects:
adsorption
environmental modelling
mercury ions removal
deep eutectic solvents
carbon nanotubes
artificial neural network
Online Access:https://www.mdpi.com/1422-0067/20/17/4206

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