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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Taylor and Francis Ltd.
2023
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| Subjects: | |
| Online Access: | 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 http://umpir.ump.edu.my/id/eprint/38612/ https://doi.org/10.1080/00986445.2022.2129622 https://doi.org/10.1080/00986445.2022.2129622 |
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http://umpir.ump.edu.my/id/eprint/38612/1/Modeling%20of%20lead%20%28II%29%20ion%20adsorption%20on%20multiwall%20carbon%20nanotubes.pdfhttp://umpir.ump.edu.my/id/eprint/38612/2/Modeling%20of%20lead%20%28II%29%20ion%20adsorption%20on%20multiwall%20carbon%20nanotubes%20using%20artificial_ABS.pdf
http://umpir.ump.edu.my/id/eprint/38612/
https://doi.org/10.1080/00986445.2022.2129622
https://doi.org/10.1080/00986445.2022.2129622