Hybrid nanoadsorbents for the magnetically assisted removal of metoprolol from water
authors Soares, SF; Simoes, TR; Antonio, M; Trindade, T; Daniel-da-Silva, AL
nationality International
journal CHEMICAL ENGINEERING JOURNAL
author keywords Metoprolol; Adsorption; Bio-hybrids; kappa-Carrageenan; Magnetic nanoparticles; Isotherm modeling
keywords KAPPA-CARRAGEENAN; BETA-BLOCKERS; WASTE-WATER; NANOPARTICLES; SPECTROSCOPY; ADSORPTION; TOXICITY; TARTRATE; SORPTION; SORBENTS
abstract Metoprolol (MTP) is known as one of the most frequently detected beta blockers in surface waters, with potentially harmful impact on environment and human health due to its widespread use and resistance to hydrolysis. The removal of MTP in wastewater treatment plants is still very low due to fairly ineffective conventional water treatment procedures and, therefore, more efficient treatments are needed. To tackle this challenge, novel biosorbents composed of magnetite nanoparticles functionalized by kappa-carrageenan hybrid siliceous shells (Fe3O4@SiO2/SiCRG) were successfully prepared and tested in magnetically assisted removal of metoprolol tartrate from aqueous solutions. The MTP adsorption by the produced core-shell composite structures was thoroughly assessed and modeling of the equilibrium data was best fit with Langmuir and Toth models. The maximum observed MTP adsorption capacity of the magnetic hybrids amounted to 447 mg/g, thus representing an enhancement of 300% compared to most efficient MTP sorbents reported so far. The results of FTIR analysis indicate that the adsorption mechanism is mostly based on electrostatic interactions between sulfonate groups of kappa-carrageenan and protonated amine groups of metoprolol. The obtained Fe3O4@SiO2/SiCRG composite particles show a great potential for removing MTP from water, stemming from their high inherent absorption capacity and convenient magnetic separation. (C) 2016 Elsevier B.V. All rights reserved.
publisher ELSEVIER SCIENCE SA
issn 1385-8947
year published 2016
volume 302
beginning page 560
ending page 569
digital object identifier (doi) 10.1016/j.cej.2016.05.079
web of science category Engineering, Environmental; Engineering, Chemical
subject category Engineering
unique article identifier WOS:000382590900058
  ciceco authors
  impact metrics
times cited (wos core): 4
journal impact factor (jcr 2016): 6.216
5 year journal impact factor (jcr 2016): 6.159
category normalized journal impact factor percentile (jcr 2016): 95.412
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