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Fractional factorial design in modeling of polyethyleneimine modified magnetic yeast composites for the removal of uranium with various background ions

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Abstract

Polyethyleneimine (PEI) modified magnetic yeast biomaterials composites (MY@SiO2-PEI) were prepared through a two-step solution polymerization method to remove U(VI) from aqueous solutions. The impact of six anions on U(VI) removal efficiency with MY@SiO2-PEI in single- and multi-ion systems was conducted in this article. A 26–2 Fractional factorial design (FFD) and Visual MINTEQ were employed to identify primary or interacting factors and the uranium chemical speciation calculations, respectively. In the single-ion systems, PO43−, humic acids (HA) slightly increased the U(VI) removal efficiency with MY@SiO2-PEI at low pH, whereas the U(VI) removal efficiency was largely reduced with SO42−, CO32−. The factorial effects of the six selected species on U(VI) removal efficiency via FFD in the multi-ion system were in the following sequence: CO32− > Cl− > HA > PO43− > SO42− > NO3−, and U(VI) removal was affected significantly by the combined of AB (Cl− × NO3−), BD (NO3− × SO42−).

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China (11475080, 51904155) and Hengyang’s Science and technology planning projects (2018KJ130).

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  1. Hunan Provincial Key Laboratory of Pollution Control and Resources Technology, University of South China, Hengyang, 421001, People’s Republic of China

    Shiyou Li, Suiyi Wu, Kao Zhang, Taotao Zeng, Lishan Rong & Guohua Wang

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Li, S., Wu, S., Zhang, K. et al. Fractional factorial design in modeling of polyethyleneimine modified magnetic yeast composites for the removal of uranium with various background ions. J Radioanal Nucl Chem 329, 815–827 (2021). https://doi.org/10.1007/s10967-021-07846-1

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