Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN)

This research optimized the adsorption performance of rice husk char (RHC4) for copper (Cu(II)) from an aqueous solution. Various physicochemical analyses such as Fourier transform infrared spectroscopy (FTIR), field-emission scanning electron microscopy (FESEM), carbon, hydrogen, nitrogen, and sulf...

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Bibliografiske detaljer
Udgivet i:Molecules
Main Authors: Khan, Taimur, Binti Abd Manan, Teh Sabariah, Isa, Mohamed Hasnain, Ghanim, Abdulnoor A.J., Beddu, Salmia, Jusoh, Hisyam, Iqbal, Muhammad Shahid, Ayele, Gebiaw T, Jami, Mohammed Saedi
Format: Artigo
Sprog:Inglês
Udgivet: MDPI 2020
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7397182/
https://ncbi.nlm.nih.gov/pubmed/32708928
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/molecules25143263
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