Binary Dye Removal from Simulated Wastewater Using Reduced Graphene Oxide Loaded with Fe-Cu Bimetallic Nanocomposites Combined with an Artificial Neural Network

Binary Dye Removal from Simulated Wastewater Using Reduced Graphene Oxide Loaded with Fe-Cu Bimetallic Nanocomposites Combined with an Artificial Neural Network

Reduced graphene oxide loaded with an iron-copper nanocomposite was prepared in this study, using graphene oxide as a carrier and ferrous sulfate, copper chloride and sodium borohydride as raw materials. The obtained material was prepared for eliminating hazardous dye carmine and the binary dye mixt...

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Bibliographic Details
Main Authors: Ling Xin, Xianliang Wu, Yiqiu Xiang, Shengsheng Zhang, Xianfei Huang, Huijuan Liu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Materials
Subjects:
adsorption
nanocomposite
binary dyes
artificial intelligence
kinetics
Online Access:https://www.mdpi.com/1996-1944/14/18/5268

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https://www.mdpi.com/1996-1944/14/18/5268

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