Highly improved removal of U(VI) from water by Fe-Cu nanoparticles anchored on corn straw biochar: Influencing factors and mechanism studies

Wang, Li; Zhao, Donglin; Ding, Dahai; Wu, Changnian; Chen, Yan

doi:10.1016/j.inoche.2023.110771

Cited by 9 publications

(1 citation statement)

References 59 publications

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“…The images of ZVNi, ZVNi@HGP and ZVNi@HGP after removal of uranium are shown in figure 2. From figure 2(a), it is evident that ZVNi particles form agglomerated spherical chains, which may be due to the influence of magnetic attraction and high surface energy [22][23][24]. The agglomeration of particles is apparent, preventing the material from effectively removing uranium.…”

Section: Materials Morphology Analysismentioning

confidence: 99%

Performance and mechanism of uranium (VI) removal from aqueous solution by zero-valent nickel@hollow glass particles (ZVNi@HGP)

Mingzhe,

Zhang,

Xiaoyan

2024

Phys. Scr.

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The zero-valent nickel@ hollow glass particles (ZVNi@HGP) were prepared by liquid phase reduction method and characterized with SEM, XRD and XPS. The morphological structure analysis revealed that HGP can effectively mitigate the agglomeration of ZVNi particles and improve the activity of the material. The removal efficiency of U(VI) by the ZVNi@HGP was examined through a series of single-factor experiments. The results showed that ZVNi@HGP had a good removal efficiency for U(VI), with the removal rate reached up to 98.15% at uranium concentration of 10 mg/L, solid-liquid ratio of 0.15 g/L and pH=4.0. The adsorption isotherm model showed a maximum adsorption capacity of 423.33 mg/g for U(VI). The adsorption of U(VI) by ZVNi@HGP follows a pseudo-second-order kinetic model, which indicates that the adsorption of U(VI) by ZVNi@HGP is predominantly a chemical process. Thermodynamics shows that the removal of uranium by ZVNi@HGP is spontaneous. The results of the study showed that HGP could reduce the agglomeration of ZVNi, so the removal ability of ZVNi@HGP was superior to that of ZVNi.

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Section: Materials Morphology Analysismentioning

confidence: 99%