Issue 41, 2022

Removal of p-nitrophenol from simulated sewage using MgCo-3D hydrotalcite nanospheres: capability and mechanism

Abstract

4-Nitrophenol (4-NP) is an organic pollutant found in the wastewater discharged from coking and petrochemical industries, and it is highly toxic, persistent, and bioaccumulative. 4-NP is difficult to degrade and causes serious damage to human health and the ecological environment. In this study, MgCo-3D hydrotalcite nanospheres were synthesized via the hot solvent method using ZIF-67 as a template for 4-NP removal from wastewater. The composition and structure of MgCo-3D hydrotalcite nanospheres were characterized via X-ray diffraction (XRD), Scanning electron microscope (SEM), Transmission Electron Microscope (TEM), Fourier-transform infrared spectroscopy (FT-IR), X-ray photoelectron spectroscopy (XPS), Energy Dispersive Spectroscopy (EDS), and BET analyses. The maximum adsorption capacity was 131.59 mg g−1 under the optimized conditions (pH = 7, t = 298 K, C0 = 50 mg L−1, dose = 0.4 g L−1). The adsorption obeyed the Langmuir, Redlich–Peterson and Sips models and pseudo-second-order kinetics, and the adsorption activation energy was 29.4 kJ mol−1, indicating a monolayer physical adsorption phenomenon. The adsorption of 4-NP on the MgCo-3D hydrotalcite nanospheres mainly involved hydrogen bonding and electrostatic interactions. The nanospheres were regenerated using the hot-air purging method. After five adsorption–desorption cycles, the adsorption capacity reached 107.6 mg g−1, indicating the good regeneration performance of the MgCo-3D hydrotalcite nanospheres.

Graphical abstract: Removal of p-nitrophenol from simulated sewage using MgCo-3D hydrotalcite nanospheres: capability and mechanism

Article information

Article type
Paper
Submitted
25 Mar 2022
Accepted
12 Sep 2022
First published
22 Sep 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 27044-27054

Removal of p-nitrophenol from simulated sewage using MgCo-3D hydrotalcite nanospheres: capability and mechanism

F. Gao, X. Xu and J. Yang, RSC Adv., 2022, 12, 27044 DOI: 10.1039/D2RA01883G

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