Modelling and optimization for methylene blue adsorption using graphene oxide/chitosan composites via artificial neural network-particle swarm optimization

• Main Authors: Goh, Kheng Khiam, Karri, Rama Rao, Mubarak, Nabisab Mujawar, Mohammad Khalid, Mohammad Khalid, Walvekar, Rashmi, Abdullah, Ezzat Chan, Rahman, Muhammad Ekhlasur
• Format: Article
• Published: Elsevier Ltd 2022
• Subjects: Q Science (General); TP Chemical technology
• Online Access: http://eprints.utm.my/103082/; http://dx.doi.org/10.1016/j.mtchem.2022.100946

Water pollution due to dyes from industrial effluents and domestic wastewater is a big environmental issue, so an effective adsorbent is needed. In this study, graphene oxide/chitosan (GO/CS) composites were synthesized and applied for methylene blue (MB) dye removal. Characterization was done on th...