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Sugar beet lignocellulose waste as biosorbents: surface functionality, equilibrium studies and artificial neural network modeling

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Abstract

To meet sustainable development criteria, this paper deals with the possible utilization of solid waste materials generated from single and multiple successive processing of sugar beet (i.e., from the production of sugar, bioethanol and pectin) in wastewater treatment. Waste lignocellulose materials after extraction of sucrose, successive extractions of sucrose and pectin, as well as successive extractions of sucrose and pectin followed by enzymatic hydrolysis of cellulose were investigated as biosorbents for heavy metal removal. Surface characterization was performed by Fourier transform infrared spectroscopy and Boehm’s titration which showed heterogeneity regarding functional groups and the acidic surface of adsorbents. Also, a possible involvement of certain functional groups (hydroxyl, phenolic, carbonyl, amino) in the adsorption process was discussed. Equilibrium studies showed that these materials had greater adsorption capacity for Cu2+ compared to capacity for Cr6+ ions and that the adsorption process by various adsorbents could not be described by the same isotherm model. Adsorption mechanism study implied that ion exchange was not the only mechanism of Cu2+ binding onto investigated biosorbents. Also, the Cu2+ removal performance of waste materials was successfully predicted by applying a three-layer neural network with 6 neurons in the hidden layer.

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Funding

The financial support from the Ministry of Education, Science and Technological Development of the Republic of Serbia (No. 451-03-9/2021-14/200134) is gratefully acknowledged.

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Correspondence to D. Kukić.

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The authors have no relevant financial or non-financial interests to disclose.

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All authors agreed with the content and that all gave explicit consent to submit and that they obtained consent from the responsible authorities at the institute/organization where the work has been carried out before the work was submitted.

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Editorial responsibility: Samareh Mirkia.

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Kukić, D., Šćiban, M., Brdar, M. et al. Sugar beet lignocellulose waste as biosorbents: surface functionality, equilibrium studies and artificial neural network modeling. Int. J. Environ. Sci. Technol. 20, 2503–2516 (2023). https://doi.org/10.1007/s13762-022-04140-9

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  • DOI: https://doi.org/10.1007/s13762-022-04140-9

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