Modeling of lead (II) ion adsorption on multiwall carbon nanotubes using artificial neural network and Monte Carlo technique

Modeling of lead (II) ion adsorption on multiwall carbon nanotubes using artificial neural network and Monte Carlo technique

In this study, Pb2+ removal from wastewater using multiwall carbon nanotubes (MWCNTs) was investigated. XRD, SEM-EDX, BET, and FTIR were employed for MWCNT characterization. The effects of various parameters, including the solution pH, adsorbent dosage, initial concentration of Pb2+, and contact tim...

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Bibliographic Details
Main Authors: Al Jadir, Thaer, Alardhi, Saja Mohsen, Al-Sheikh, Farooq, Jaber, Alaa Abdulhady, Kadhim, Wafaa Abdul, Mohd Hasbi, Ab. Rahim
Format: Article
Language:English
English
Published: Taylor and Francis Ltd. 2023
Subjects:
HD28 Management. Industrial Management
QD Chemistry
Online Access:http://umpir.ump.edu.my/id/eprint/38612/
http://umpir.ump.edu.my/id/eprint/38612/1/Modeling%20of%20lead%20%28II%29%20ion%20adsorption%20on%20multiwall%20carbon%20nanotubes.pdf
http://umpir.ump.edu.my/id/eprint/38612/2/Modeling%20of%20lead%20%28II%29%20ion%20adsorption%20on%20multiwall%20carbon%20nanotubes%20using%20artificial_ABS.pdf

Internet

http://umpir.ump.edu.my/id/eprint/38612/
http://umpir.ump.edu.my/id/eprint/38612/1/Modeling%20of%20lead%20%28II%29%20ion%20adsorption%20on%20multiwall%20carbon%20nanotubes.pdf
http://umpir.ump.edu.my/id/eprint/38612/2/Modeling%20of%20lead%20%28II%29%20ion%20adsorption%20on%20multiwall%20carbon%20nanotubes%20using%20artificial_ABS.pdf

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