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Adaptation of advanced physical models to interpret the adsorption isotherms of lead and cadmium ions onto activated carbon in single-compound and binary systems

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Abstract

The work reports a modeling analysis of single-compound and binary adsorption of Pb2+ and Cd2+ ions from polluted water onto the activated carbon at room temperature. The homogeneous model for single adsorption (HM) and the exclusive extended monolayer model for binary adsorption (EEMM) are applied for the interpretation of the experimental data set. The adopted models correlate the entire set of adsorption data, allowing a thorough description of the occurring phenomena. The overall objective of the study is to determine the adsorption mechanisms, also through a comparative analysis between the single-compound and binary modeling data. The parameters of both models are used for to retrieve useful indications about the adsorption of these two ions. In particular, the number of ions adsorbed per single functional groups changed from single-compound to binary adsorption, allowing to explain the competitive behavior of the investigated system. The adsorption energy values vary between 21.39 (Pb2+) and 24.06 kJ/mol (Cd2+), and 27.17 (Pb2+) and 32.59 kJ/mol (Cd2+) in single-compound and binary systems, respectively, indicating that adsorption is a physisorption process.

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Acknowledgements

The authors express their gratitude to Princess Nourah bint Abdulrahman University Researchers Supporting Project (Grant No. PNURSP2022R46), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

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Fatma Aouaini, Fatma Dhaouadi: conceptualization.

Lotfi Sellaoui, Michael Badawi: interpretation of results.

Amodio Piscitelli, Alessandro Erto, Abdelmottaleb Ben Lamine: English editing of manuscript.

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Correspondence to Lotfi Sellaoui.

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Responsible Editor: Tito Roberto Cadaval Jr.

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Aouaini, F., Dhaouadi, F., Sellaoui, L. et al. Adaptation of advanced physical models to interpret the adsorption isotherms of lead and cadmium ions onto activated carbon in single-compound and binary systems. Environ Sci Pollut Res 29, 62507–62513 (2022). https://doi.org/10.1007/s11356-022-20173-6

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  • DOI: https://doi.org/10.1007/s11356-022-20173-6

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