Issue 9, 2019, Issue in Progress

Preparation of gemini surfactant/graphene oxide composites and their superior performance for Congo red adsorption

Abstract

Gemini surfactant/GO composites (10-2-10/GO, 12-2-12/GO, and 14-2-14/GO) have been successfully prepared using three gemini surfactants with different tail chain lengths. The morphology and physicochemical properties of the as-synthesized composites were characterized by scanning electron microscopy, transmission electron microscopy, Fourier transform-infrared spectroscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. The gemini surfactant/GO composites were applied to the adsorption of Congo red dye, and from the experimental data, optimum adsorption conditions, adsorption kinetics, and isotherms were obtained. The removal process was favorable at acidic pH and reached equilibrium in ∼60 min. The results showed that the pseudo-second-order model and the Langmuir adsorption isotherm were a good fit for the adsorption of Congo red onto gemini surfactant/GO composites. Compared with other adsorbents reported in the literature, these composites showed superior Congo red adsorption capabilities, with absorption capacities as high as 2116, 2193, and 2325 mg g−1 for 10-2-10/GO, 12-2-12/GO, and 14-2-14/GO, respectively. Moreover, the adsorption capacities were more than 1000 mg g−1 even for the fifth cycle. The results of the present study substantiate that the gemini surfactant/GO composites are promising adsorbents for the removal of organic dyes in wastewater treatment.

Graphical abstract: Preparation of gemini surfactant/graphene oxide composites and their superior performance for Congo red adsorption

Supplementary files

Article information

Article type
Paper
Submitted
06 Dec 2018
Accepted
01 Feb 2019
First published
08 Feb 2019
This article is Open Access
Creative Commons BY license

RSC Adv., 2019,9, 4908-4916

Preparation of gemini surfactant/graphene oxide composites and their superior performance for Congo red adsorption

S. He, X. Liu, P. Yan, A. Wang, J. Su and X. Su, RSC Adv., 2019, 9, 4908 DOI: 10.1039/C8RA10025J

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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