Optimizations and artificial neural network validation studies for naphthalene and phenanthrene adsorption onto NH2-UiO-66(Zr) metal-organic framework

• Main Authors: Zango, Z. U., Jumbri, K., M. Zaid, H. F., Sambudi, N. S., Matmin, Juan
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: QD Chemistry
• Online Access: http://eprints.utm.my/id/eprint/96249/1/JuanMatmin2021_OptimizationsandArtificialNeuralNetworkValidation.pdf; http://eprints.utm.my/id/eprint/96249/; http://dx.doi.org/10.1088/1755-1315/842/1/012015

Adsorptive removal of naphthalene (NAP) and phenanthrene (PHE) was reported using NH2-UiO-66(Zr) metal-organic frameworks. The process was optimized by response surface methodology (RSM) using central composite design (CCD). The fitting of the model was described by the analysis of variance (ANOVA)...