期刊
JOURNAL OF HAZARDOUS MATERIALS
卷 403, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jhazmat.2020.123624
关键词
Metal organic framework; Polysulfone; Mixed matrix bead; Adsorption of heavy metals; Pore diffusion-adsorption model
资金
- Department of Science and Technology, Government of India [DST/TM/WTI/WIC/2K17/84(G)]
In this study, the metal organic framework ZIF-8 was explored as a potential adsorbent for heavy metal ions, with further investigation into its adsorption performance through mixed matrix beads (MMBs). The adsorption capacity of the MMBs for Pb and Cd was found to be high, and a model successfully predicted batch kinetics and interaction parameters.
In this study, the metal organic framework (MOF) ZIF-8 was investigated as potential adsorbent for heavy metal ions. The MOF powder was used further to prepare mixed matrix beads (MMBs) using polysulfone as the base material. Both the MOF powder and the MMBs were characterized using Field emission scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, X-ray photoelectron spectroscopy, Brunauer-Emmett-Teller (BET) analyzer and zetasizer. Adsorption capacity of the MMBs were 164-220 mg/g for Pb and 92-161 mg/g for Cd. A fundamental pore diffusion-adsorption model was used to predict the batch kinetics for both single and multicomponent cases and effective pore diffusivities and mass transfer coefficients were determined. Mutual interactions among heavy metals were quantified using interaction parameters. ZIF-8, incorporated in the PSF matrix, plays the predominant role in capturing the metal ions through surface complexation with the NH and metal-OH groups. A first principle-based model involving convection, diffusion and adsorption was used to quantify the breakthrough behavior for the continuous fixed bed column using the MMBs. The column performance was tested with battery industry effluent. The saturated beads were suitably regenerated using 0.1(M) HCl solution. Finally, the model parameters were used for scaling up of the columns.
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