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The modelling of biosorption for rapid removal of organic matter with activated sludge biomass from real industrial effluents

  • Environmental Engineering
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Abstract

Biosorption is becoming increasingly important for the treatment of pollutants due to its cost-effectiveness, environmental friendliness and efficiency. For a more sustainable environment, more studies need to focus on the application of real industrial effluents. Increasing the initial concentration of activated sludge increases the specific surface area of the sludge, which allows for greater sorption of sorbates. The optimal initial concentration of activated sludge in the process of biosorption of pollutants from pharmaceutical effluent was 5.12±0.13 g/L. The biosorption process can be described by the Temkin model, where the estimated values of BT and AT ranged from 29.11 to 76.08 and from 1.10 to 1.48 L/g, respectively. The overall efficiency of the biosorption process ranged from 9.5 to 40.2%. The removed toxicity averaged 41.1±7.88% for all experiments.

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Acknowledgement

This work was supported by the Department of Industrial Ecology, Faculty of Chemical Engineering and Technology, University of Zagreb during the collaboration with the company PLIVA Hrvatska.

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Author notes

  1. Ernest Meštrović

    Present address: Xellia Pharmaceuticals, Slavonska avenija 24/6, HR-10000, Zagreb, Croatia

Authors and Affiliations

  1. Faculty of Chemical Engineering and Technology, Department of Industrial Ecology, University of Zagreb, Marulićev trg 19, HR-10000, Zagreb, Croatia

    Marija Vuković Domanovac & Monika Šabić Runjavec

  2. PLIVA Hrvatska, Prilaz baruna Filipovića 25, HR-10000, Zagreb, Croatia

    Ernest Meštrović

Authors
  1. Marija Vuković Domanovac
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  2. Monika Šabić Runjavec
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  3. Ernest Meštrović
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Correspondence to Marija Vuković Domanovac.

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Domanovac, M.V., Runjavec, M.Š. & Meštrović, E. The modelling of biosorption for rapid removal of organic matter with activated sludge biomass from real industrial effluents. Korean J. Chem. Eng. 39, 3361–3368 (2022). https://doi.org/10.1007/s11814-022-1189-x

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  • DOI: https://doi.org/10.1007/s11814-022-1189-x

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