Modeling of cu(ii) adsorption from an aqueous solution using an artificial neural network (ann)

• Main Authors: Khan, Taimur, Abd Manan, Teh Sabariah, Hasnain Isa, Mohamed, A. J. Ghanim, Abdulnoor, Beddu, Salmia, Jusoh, Hisyam, Iqbal, Muhammad Shahid, Ayele, Gebiaw T, Jami, Mohammed Saedi
• Format: Article
• Language: English; English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2020
• Subjects: TP155 Chemical engineering
• Online Access: http://irep.iium.edu.my/81775/1/molecules-25-03263.pdf; http://irep.iium.edu.my/81775/7/81775_Modeling%20of%20Cu%28II%29%20adsorption%20from%20an%20aqueous_scopus.pdf; http://irep.iium.edu.my/81775/; https://www.mdpi.com/1420-3049/25/14/3263

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 s...