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Martyna Marchelek

Researcher at University of Gdańsk

Publications -  12
Citations -  704

Martyna Marchelek is an academic researcher from University of Gdańsk. The author has contributed to research in topics: Photocatalysis & Diffuse reflectance infrared fourier transform. The author has an hindex of 10, co-authored 12 publications receiving 546 citations.

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Noble metal-based bimetallic nanoparticles: the effect of the structure on the optical, catalytic and photocatalytic properties.

TL;DR: In this review, selected properties, such as structure, optical, catalytic and photocatalytic of noble metals-based bimetallic nanoparticles, are discussed together with preparation routes.
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Noble metal modified TiO2 microspheres: Surface properties and photocatalytic activity under UV-vis and visible light

TL;DR: In this paper, the effect of metal amount on photocatalytic activity during toluene degradation in gas phase and phenol degradation in aqueous phase was investigated using various techniques, including transmission electron microscopy (TEM), X-ray powder diffraction analysis (XRD), photoluminescence (PL) and UV-vis diffuse-reflectance spectroscopy (DRS).
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TiO2/SrTiO3 and SrTiO3 microspheres decorated with Rh, Ru or Pt nanoparticles: Highly UV–vis responsible photoactivity and mechanism

TL;DR: In this paper, a series of TiO2/SrTiOO3 and SrTiO3 microspheres decorated by Rh, Ru or Pt NPs were prepared by facile hydrothermal method.
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Decahedral TiO2 with exposed facets: Synthesis, properties, photoactivity and applications

TL;DR: A review of the recent progress in synthesizing by various synthetic methods and photocatalytic activity TiO 2 with exposed crystal facets with different morphologies can be found in this article.
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Nano-QSAR modeling for ecosafe design of heterogeneous TiO2-based nano-photocatalysts

TL;DR: Experimental and theoretical studies are performed to develop nano-QSAR models describing the cytotoxicity of 34 TiO2-based NPs modified by (poly)metallic clusters to the Chinese hamster ovary cell line, which showed a good predictive ability and robustness.