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

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)...

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Bibliographic Details
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
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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

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