Abstract
The statistical physics modeling is a reliable approach to interpret and understand the adsorption mechanism of both organic and inorganic adsorbates. Herein, a theoretical study of the adsorption mechanism of anionic dyes, namely reactive blue 4 (RB4), acid blue 74 (AB74), and acid blue 25 (AB25), on bone char was performed with a multilayer statistical physics model. This model was applied to fit the equilibrium adsorption data of these dyes at 298–313 K and pH 4. Results indicated that the global number of formed dye layers on the bone char varied from 1.62 to 2.24 for RB4, AB74, and AB25 dyes depending on the solution temperature where the saturation adsorption capacities ranged from 0.08 to 0.12 mmol/g. Dye molecular aggregation was also identified for these dyes where dimers and trimers prevailed at different operating conditions especially for adsorbates RB4 and AB74. Adsorption mechanism of these dyes was multimolecular and endothermic with adsorption energies from 10.6 to 20.8 kJ/mol where van der Waals interactions and hydrogen bonding could be present. This investigation contributes to understand the physicochemical variables associated to dye adsorption using low-cost adsorbents as bone char.
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Acknowledgements
Sonia Taamalli, Florent Louis, and Abderrahman El Bakali appreciated the support from the LABEX CaPPA (Chemical and Physical Properties of the Atmosphere), which is funded by the French National Research Agency (ANR) through the PIA (Programme d’Investissement d’Avenir) under contract ANR-11-LABX-0005-01 and also the Regional Council “Hauts de France” and the “European Funds for Regional Economic Development.”
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All co-authors (Lotfi Sellaoui, Fatma Dhaouadi, H.E. Reynel-Avila, D.I. Mendoza-Castillo, A. Bonilla-Petriciolet, R. Trejo-Valencia, Sonia Taamalli, Florent Louis, Abderrahman El Bakali, Zhuqi Chen) contributed in all parts of the manuscript.
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Sellaoui, L., Dhaouadi, F., Reynel-Avila, H.E. et al. Physicochemical assessment of anionic dye adsorption on bone char using a multilayer statistical physics model. Environ Sci Pollut Res 28, 67248–67255 (2021). https://doi.org/10.1007/s11356-021-15264-9
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DOI: https://doi.org/10.1007/s11356-021-15264-9