Premium
Synthesis and characterisation of LDH‐type anionic nanomaterials for the effective removal of doxycycline from aqueous media
Author(s) -
Abdel Moaty S. A.,
Mahmoud Rehab K.,
Mohamed Nada A.,
Gaber Yasser,
Farghali Ahmed A.,
Abdel Wahed Mahmoud S. M.,
Younes Heba A.
Publication year - 2020
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/wej.12526
Subject(s) - zeta potential , langmuir , adsorption , layered double hydroxides , aqueous solution , fourier transform infrared spectroscopy , freundlich equation , doxycycline , chemistry , high resolution transmission electron microscopy , scanning electron microscope , langmuir adsorption model , transmission electron microscopy , nuclear chemistry , specific surface area , chemical engineering , materials science , analytical chemistry (journal) , nanoparticle , nanotechnology , chromatography , organic chemistry , composite material , biochemistry , catalysis , engineering , antibiotics
Abstract In this work, the removal of a model antibiotic named ‘doxycycline’ by three‐layered double hydroxides (LDHs) such as Mg–Fe LDH, Mg–Al LDH and Mg–Al/MWCNT LDH was investigated. Almost full characterisation of the prepared LDHs before and after adsorption was conducted using X‐ray diffraction, Fourier‐transform infrared spectroscopy, zeta potential, Brunauer–Emmett–Teller used for detecting the surface area, high‐resolution transmission electron microscope (HRTEM) and field emission scanning electron microscope. The effect of different factors on doxycycline adsorption capacity was investigated. The removal percentages of doxycycline were 80, 82 and 92% by Mg–Fe LDH, Mg–Al LDH and Mg–Al/MWCNT LDH, respectively. These results were attributed to the difference in the pore volume and geometry between the different LDHs. The isothermal and kinetic models of adsorption were also studied. The kinetics of adsorption were described by the second‐order equation with a better fit showed by a high R 2 value. Mathematically, the Langmuir and Freundlich models best fitted the equilibrium data.