Issue 27, 2025, Issue in Progress

Experimental and Monte Carlo simulation study on a core–shell NiFe2O4@HKUST-1/graphene oxide nanocomposite for Congo Red adsorption

Abstract

A copper-based metal–organic framework, nickel ferrite and graphene oxide were prepared as constituents of a new core–shell nanocomposite formed by a layer-by-layer method, then it was applied to absorb Congo Red dye as an organic contaminant. The nanocomposite was studied by XRD, FTIR, EDS, FESEM and VSM methods. Investigating the main factors affecting the adsorption shows that the optimum pH of the dye solution is 7, the best contact time is 60 min with an initial solution concentration of 5 ppm and 0.05 g of adsorbent is the optimum amount. Adaptation of Langmuir, Freundlich, Temkin and Dubinin–Radushkevich adsorption isotherms showed that the dye adsorption process is consistent with two first isotherm models. Regarding the adsorption kinetics and according to the calculations, it was found that the adsorption process follows second-order kinetics. The composite NiFe2O4@HKUST-1/GO demonstrated a maximum adsorption capacity of 25.64 mg g−1 for Congo Red dye removal from aqueous solutions. Monte Carlo simulations were used to simulate the adsorption nature between NiFe2O4 (311) molecules and the HKUST-1 surface, GO molecules and NiFe2O4@HKUST-1, and CR and NiFe2O4@HKUST-1/GO.

Graphical abstract: Experimental and Monte Carlo simulation study on a core–shell NiFe2O4@HKUST-1/graphene oxide nanocomposite for Congo Red adsorption

Supplementary files

Article information

Article type
Paper
Submitted
06 Apr 2025
Accepted
18 May 2025
First published
02 Jul 2025
This article is Open Access
Creative Commons BY license

RSC Adv., 2025,15, 21240-21256

Experimental and Monte Carlo simulation study on a core–shell NiFe2O4@HKUST-1/graphene oxide nanocomposite for Congo Red adsorption

E. Jamshidi, M. Haddadi, F. Manteghi, R. E. Malekshah and Z. Tehrani, RSC Adv., 2025, 15, 21240 DOI: 10.1039/D5RA02381E

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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