Central composite design and genetic algorithm applied for the optimization of ultrasonic-assisted removal of malachite green by ZnO Nanorod-loaded activated carbon.
Maximum malachite green (MG) adsorption onto ZnO Nanorod-loaded activated carbon (ZnO-NR-AC) was achieved following the optimization of conditions, while the mass transfer was accelerated by ultrasonic. The central composite design (CCD) and genetic algorithm (GA) were used to estimate the effect of individual variables and their mutual interactions on the MG adsorption as response and to optimize the adsorption process. The ZnO-NR-AC surface morphology and its properties were identified via FESEM, XRD and FTIR. The adsorption equilibrium isotherm and kinetic models investigation revealed the well fit of the experimental data to Langmuir isotherm and pseudo-second-order kinetic model, respectively. It was shown that a small amount of ZnO-NR-AC (with adsorption capacity of 20mgg(-1)) is sufficient for the rapid removal of high amount of MG dye in short time (3.99min).
Chemistry Department, Yasouj University Yasouj, 75918-74831, Iran. Electronic address: m_ghaedi@mail.yu.ac.ir.
M
M
Ghaedi
Chemistry Department, Yasouj University Yasouj, 75918-74831, Iran.
F Nasiri
FN
Azad
Chemistry Department, Yasouj University Yasouj, 75918-74831, Iran.
K
K
Dashtian
Department of Physics, Yasouj University, Yasouj 75918-74831, Iran.
S
S
Hajati
Department of Polymer Engineering, Golestan University, Gorgan 49188-88369, Iran.
A
A
Goudarzi
Department of Chemistry, Erciyes University, 38039 Kayseri, Turkey.
M
M
Soylak
Central composite design; Genetic algorithm; Malachite green; ZnO-Nanorods