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Decontamination of organic pollutants from aqueous media using cotton fiber–graphene oxide composite, utilizing batch and filter adsorption techniques: a comparative study

Author:
Abd-Elhamid, A. I., Nayl, A. A., El. Shanshory, Ahmed A., Soliman, Hesham M. A., Aly, H. F.
Source:
RSC advances 2019 v.9 no.10 pp. 5770-5785
ISSN:
2046-2069
Subject:
Fourier transform infrared spectroscopy, Raman spectroscopy, X-ray diffraction, adsorption, aqueous solutions, decontamination, gentian violet, lint cotton, methylene blue, mixing, models, pH, pollutants, scanning electron microscopy, sodium chloride, sorption isotherms, temperature, thermogravimetry, transmission electron microscopy
Abstract:
Cotton fiber–graphene oxide (C–GO) composite with high adsorptive properties towards the cationic dye, crystal violet (CV), was successfully fabricated by simple mixing of cotton fiber and GO in aqueous solution using a homogenizer. The as-prepared composite was characterized using TEM, SEM, LOM, XRD, FTIR, Raman and TGA. The characterization indicated that the formation of a homogeneous composite occurred via adequate mixing of the cotton fiber and GO. The fine structure of the obtained composite was successfully used in two adsorption techniques, namely batch adsorption and filter adsorption. Various parameters affecting batch adsorption, such as contact time, dye concentration, composite dose, NaCl dose, temperature and pH were investigated. In the filter adsorption mode, dye concentration, composite dose, NaCl dose, temperature, flow rate and pH were studied. A comparison study between the two techniques, i.e., batch adsorption and filter adsorption, are reported. The filter adsorption technique shows higher adsorption efficiency than the batch one, which was evident from the maximum adsorption capacity (Q°) values, obtained from the Langmuir isotherm. Further, the filter technique was developed and evaluated. This was achieved by regeneration, scaling-up and, finally, using another model of cationic dye (methylene blue).
Agid:
6313818