Journal ArticleDOI
Water-Dispersible Magnetite-Reduced Graphene Oxide Composites for Arsenic Removal
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TLDR
The magnetite-graphene hybrids show a high binding capacity for As(III) and As(V), whose presence in the drinking water in wide areas of South Asia has been a huge problem.Abstract:
Magnetite−graphene hybrids have been synthesized via a chemical reaction with a magnetite particle size of ∼10 nm. The composites are superparamagnetic at room temperature and can be separated by an external magnetic field. As compared to bare magnetite particles, the hybrids show a high binding capacity for As(III) and As(V), whose presence in the drinking water in wide areas of South Asia has been a huge problem. Their high binding capacity is due to the increased adsorption sites in the M−RGO composite which occurs by reducing the aggregation of bare magnetite. Since the composites show near complete (over 99.9%) arsenic removal within 1 ppb, they are practically usable for arsenic separation from water.read more
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Nano-Particle-Mediated Wastewater Treatment: a Review
TL;DR: A review of the current advances and application of nano-materials for wastewater treatment can be found in this paper, where various types of nano materials such as carbon nano-tubes, MnO2 nano-sheets, graphene composites, metal oxides, antimicrobial nanomaterials, and photocatalysts which are employed in the field of wastewater treatment, have been dissertated.
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Graphene Oxide-Based Fe–Mg (Hydr)oxide Nanocomposite as Heavy Metals Adsorbent
TL;DR: In this article, a novel adsorbent for divalent metal cations was prepared as a nanocomposite of Fe-Mg (hydr)oxide with graphene oxide by one-step coprecipitation.
Journal ArticleDOI
Rational synthesis of Pd nanoparticle-embedded reduced graphene oxide frameworks with enhanced selective catalysis in water
TL;DR: The 3D Pd-rGOF catalyst can be reused more than ten times without significant loss of activity, rendering this catalyst long-term stability and making the rGOF a universal platform to coordinate other noble metal ions to construct desired NM-r GOF nanocatalysts with improved activity, selectivity, and durability that can be used in a broad range of practical applications.
Journal ArticleDOI
Efficient catalytic degradation of bisphenol A by novel Fe0- vermiculite composite in photo-Fenton system: Mechanism and effect of iron oxide shell.
TL;DR: This study presented a facile method to synthesize novel Fe0-vermiculite composite and provided a new sight to investigate the effect of iron oxide shell on the catalytic performance when Fe-Ver-C-H2 composite acted as catalyst to remove contaminants from the environment in photo-Fenton system.
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South African sands as a low cost alternative solution for arsenic removal from industrial effluents in permeable reactive barriers: Column tests
Cristina Trois,Alessio Cibati +1 more
TL;DR: In this article, column tests were performed to simulate environmental conditions that occur when a PRB is interested by a contaminated effluent, and column experiments were carried out in two columns of different sizes (small and large columns) using two mixes of Gotthart Maier Metallpulver GmbH ZVI and Berea red sand (BRS) as filling material.
References
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Electric Field Effect in Atomically Thin Carbon Films
Kostya S. Novoselov,Andre K. Geim,Sergey V. Morozov,Da Jiang,Y. Zhang,S. V. Dubonos,Irina V. Grigorieva,A. A. Firsov +7 more
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The adsorption of gases on plane surfaces of glass, mica and platinum.
TL;DR: In this article, the absorption index at the wave length of the band maximum was found to be proportional to the total concentration of metal at shorter wave lengths, however, deviations were observed, the absorption increasing more rapidly with concentration than Beers' law would demand.
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Raman spectrum of graphene and graphene layers.
Andrea C. Ferrari,Jannik C. Meyer,Vittorio Scardaci,Cinzia Casiraghi,Michele Lazzeri,Francesco Mauri,S. Piscanec,Da Jiang,K. S. Novoselov,S. Roth,A. K. Geim +10 more
TL;DR: This work shows that graphene's electronic structure is captured in its Raman spectrum that clearly evolves with the number of layers, and allows unambiguous, high-throughput, nondestructive identification of graphene layers, which is critically lacking in this emerging research area.