Assessment of metal extraction from e-waste using supported IL membrane with reliable comparison between RSM regression and ANN framework

Assessment of metal extraction from e-waste using supported IL membrane with reliable comparison between RSM regression and ANN framework

Abstract Recently, efficient techniques to remove indium ions from e-waste have been described due to their critical application. This paper illustrates the recovery of indium ions from an aqueous solution using a liquid membrane. CyphosIL 104 described the excellent potential for the extraction of...

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Bibliographic Details
Main Authors: Alireza Hemmati, Mehdi Asadollahzadeh, Rezvan Torkaman
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Indium ions
Artificial neural network
Flat sheet supported liquid membrane
Experimental design
Response surface methodology
Online Access:https://doi.org/10.1038/s41598-024-54591-y

Internet

https://doi.org/10.1038/s41598-024-54591-y

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