Enhanced Removal of Diesel Oil Using New Magnetic Bentonite-Based Adsorbents Combined with Different Carbon Sources

• Published in: Water, air, and soil pollution Vol. 233; no. 6
• Main Authors: Ewis, Dina, Mahmud, Nafis, Benamor, Abdelbaki, Ba-Abbad, Muneer M., Nasser, Mustafa, El-Naas, Muftah
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01-06-2022; Springer; Springer Nature B.V
• Subjects: Adsorbents; Adsorption; Aqueous solutions; Atmospheric Protection/Air Quality Control/Air Pollution; Bentonite; Carbon; Carbon sources; Climate Change/Climate Change Impacts; Data analysis; Diesel oil; Earth and Environmental Science; Emulsions; Environment; Environmental monitoring; Experimental data; Graphene; Hydrogeology; Information management; Iron oxides; Kinetics; Mathematical models; Multi wall carbon nanotubes; Nanotechnology; Nanotubes; Oil; Regression analysis; Removal; Soil Science & Conservation; Solutions; Statistical analysis; Statistical models; Synthesis; Water Quality/Water Pollution; Carbon nanotubes; Produced water treatment; Reduced graphene; Adsorption; Magnetic bentonite; Oil content
• ISSN: 0049-6979; 1573-2932
• DOI: 10.1007/s11270-022-05641-6

In this work, new magnetic bentonite-based adsorbents combined with different carbon sources, namely, reduced graphene oxide and multiwall carbon nanotubes, were synthesized via co-precipitation method. The synthesized adsorbents were characterized using XRD, TGA, SEM, EDX, TEM, and BET analysis techniques. The adsorbents were then used to remove oil from aqueous solutions of water-in-oil emulsion by performing batch adsorption experiments. The experimental data were fitted to three isotherm models including Langmuir, Freundlich, and Sips models using non-linear regression and were compared using Akaike Information Criterion statistical model. The data analysis showed that Sips model best fits the experimental data for the adsorption of oil onto both adsorbents. The maximum adsorption capacity of oil from sips model were 81.65 mg/g and 77.12 mg/g for Fe
3
O
4
/Bent/rGO and Fe
3
O
4
//Bent/MWCNTs, respectively. The obtained kinetics data were fitted to pseudo-first-order, pseudo-second-order, and intraparticle diffusion models. Pseudo-second order kinetic model best fitted the kinetic data of both adsorbents. Overall, both adsorbents showed high removal efficiency reaching equilibrium in less than 50 min indicating that both adsorbents can be successfully utilized in industrial adsorption process.
Graphical abstract