TiO2/graphene and TiO2/graphene oxide nanocomposites for photocatalytic applications: A computer modeling and experimental study
authors Martins, PM; Ferreira, CG; Silva, AR; Magalhaes, B; Alves, MM; Pereira, L; Marques, PAAP; Melle-Franco, M; Lanceros-Mendez, S
nationality International
journal COMPOSITES PART B-ENGINEERING
keywords GRAPHENE OXIDE; ENVIRONMENTAL APPLICATIONS; WASTE-WATER; MICROPOLLUTANTS; SENSITIZATION; REDUCTION; COMPOSITE; REMOVAL; METAL
abstract This work reports a computational study, focused on graphene (G) and graphene oxide (GO) interfaces with titanium dioxide (TiO2), and an experimental assay on the photocatalytic activity of TiO2/G and TiO2/GO nanocomposites in the degradation of two different pollutants: methylene blue and ciprofloxacin. Both carbon nanostructures were compared due to their different chemical structure: GO is a G derivative with oxygen functional groups which should promote a closer chemical interaction with TiO2 nanoparticles. Computational models of the fundamental properties of the composites indicated potentially improved photocatalytic activity compared to TiO2, namely lower band gaps and charge carrier segregation at the interfaces. These fundamental properties match qualitatively experimental results on methylene blue, which was more effectively degraded by TiO2/G and TiO2/GO nanocomposites than by pure TiO2 under UV light. In contrast, the same nanocomposites were found to be less efficient to degrade ciprofloxacin than pure TiO2 under visible and UV light. Therefore, this work showcases the relevance of an efficient matching between the catalyst and the molecular properties and structure of the pollutant.
publisher ELSEVIER SCI LTD
issn 1359-8368
year published 2018
volume 145
beginning page 39
ending page 46
digital object identifier (doi) 10.1016/j.compositesb.2018.03.015
web of science category Engineering, Multidisciplinary; Materials Science, Composites
subject category Engineering; Materials Science
unique article identifier WOS:000436204700004
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journal analysis (jcr 2017):
journal impact factor 4.920
5 year journal impact factor 4.858
category normalized journal impact factor percentile 95.662
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