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Fabrication of hollow and nonhollow SiO 2 nanofibers for removal of cationic dyes from aqueous solutions
Author(s) -
Almasian Arash.,
Chizari Fard Ghazaleh.,
Maleknia Laleh.
Publication year - 2017
Publication title -
environmental progress and sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.495
H-Index - 66
eISSN - 1944-7450
pISSN - 1944-7442
DOI - 10.1002/ep.12584
Subject(s) - materials science , thermal decomposition , electrospinning , nanofiber , chemical engineering , bet theory , zeta potential , scanning electron microscope , fourier transform infrared spectroscopy , adsorption , langmuir adsorption model , specific surface area , aqueous solution , calcination , analytical chemistry (journal) , composite material , nanotechnology , chemistry , chromatography , organic chemistry , nanoparticle , polymer , catalysis , engineering
In this work, SiO 2 hollow (HNF) and non‐hollow (nHNF) nanofibers were successfully fabricated and optimized by combination of electrospinning, sol‐gel and thermal decomposition methods depending. The wall thickness of the HNF was in the range of 10–26 nm depended to the average diameter of the template. The thermal decomposition occurred at two different temperatures of 530 and 1030°C. The effects of the electrospinning conditions, the concentration of SiO 2 precursor, and thermal decomposition temperature on the nanofibers morphology were investigated by scanning electron microscopy. The influence of hollow morphology on crystalline phase, thermal resistance, surface charge and BET surface area were investigated by X‐ray diffraction, thermography analysis, zeta potential, and Brunauer‐Emmett‐Teller (BET) analyses, respectively. In addition, the chemical changes occurred in the sol‐gel process were determined by Fourier transform infrared spectroscopy. The result showed higher weight loss and BET surface area values for HNF in comparison to the nHNF after thermal decomposition process. According to results, the temperature applied in thermal decomposition process had a direct influence on properties of nanofibers. Dye removal ability of synthesized nanofibers was investigated by considering adsorption dosage, pH, and dye concentration. Also, the dye adsorption isotherm and kinetic were studied. Nonlinear regression was used to determine the best fit model for each system. To do this, 3 error functions were applied to predict the optimum model. Among various isotherm models, Langmuir model represented the equilibrium adsorption data while kinetic experimental data were well fitted by pseudo‐second‐order model on both adsorbents. © 2017 American Institute of Chemical Engineers Environ Prog, 36: 1390–1404, 2017