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- Title
Artificial neural network modeling the removal of basic blue 9 by modified tea waste with magnetically Fe<sub>3</sub>O<sub>4</sub> nanoparticles and surfactant.
- Authors
Sohrabi, Amin; Pirbazari, Azadeh Ebrahimian; Kolur, Neda Asasian; Saraei, Fatemeh Esmaeili Khalil
- Abstract
Enhancing the adsorption capacity of natural tea waste towards Basic Blue 9 (BB9) was investigated by successive modification with Fe3O4 nanoparticles (NPs) and anionic surfactant, sodium dodecyl sulfate. The X-ray diffraction, energy-dispersive X-ray spectroscopy, transmission electron microscopy, Fourier-transform infrared spectroscopy and vibrating sample magnetometer analyses confirmed the introduction of super-paramagnetic Fe3O4-NPs with uniform shapes and sizes of 10 ± 2 nm, -SO3 - and Fe-O functional groups. The main mechanisms involved in adsorption and transport of BB9 were ion exchange through -SO3 - group of surfactant molecules and film diffusion respectively. An optimized artificial neural network model with three layers and 14 neurons in hidden layer could successfully predict BB9 adsorption (R² = 0.9959). Also, the relative importance of each studied variable ((BB9 initial concentration, initial pH of solution, contact time, temperature and adsorbent dosage) on the adsorption process was evaluated.
- Subjects
ARTIFICIAL neural networks; DIFFUSION; ACTIVATED carbon; ANIONIC surfactants; SODIUM dodecyl sulfate; SURFACE active agents; ION exchange (Chemistry)
- Publication
Desalination & Water Treatment, 2019, Vol 171, p379
- ISSN
1944-3994
- Publication type
Article
- DOI
10.5004/dwt.2019.24757