In this work, magnetic graphene oxide nanocomposites were synthesized by co-precipitation method and used as an adsorbent for removal of arsenic (V) ions from water. The structure and morphology of magnetic graphene oxide nanocomposites were studied by X-ray diffraction, Fourier transform infrared spectroscopy, transmission electron microscopy, Brunauer–Emmett–Teller specific surface area, and vibrating sample magnetometry. Fourier transform infrared spectroscopy, X-ray diffraction, and transmission electron microscopy results of magnetic graphene oxide presented that the Fe3O4 nanoparticles in the size range of 10–25 nm were decorated on graphene oxide nanosheets. The adsorption properties of magnetic graphene oxide nanocomposites for arsenic (V) from water were investigated to study the effects of magnetic graphene oxide mass ratio, contact time, pH, and initial concentration. The suitable magnetic graphene oxide mass ratio of nanocomposites for arsenic (V) adsorption was determined to be 4:1 (FG2). The adsorption process on FG2 followed a pseudo-second-order kinetic and well fitted in to Langmuir isotherm model with the maximum adsorption capacity of 69.44 mg/g at pH 3. Accordingly, FG2 could be used as an effective adsorbent for removal of arsenic (V) from water.
This work aims to synthesise manganese ferrite/graphene oxide (MnFe2O4/GO) matrrials with various MnFe2O4 contents from 20‐60 wt.% in material for arsenic(V) (As(V)) removal. The nanocomposites were studied by X‐ray diffraction, Fourier‐transform infrared spectroscopy, transmission electron microscopy, Brunauer‐Emmett‐Teller, and vibrating‐sample magnetometry. The suitable mass ratio of MnFe2O4 in nanocomposite for As(V) removal was 50 wt.% (MGO50). The adsorption process on MGO50 followed the pseudo‐second‐order kinetic and Langmuir isotherm models with the maximum adsorption amounts of 212.3 mg/g. Accordingly, MGO50 nanocomposite could be used as an effective adsorbent for removal of As(V) from water.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.