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Izabela S. Pieta

Researcher at Polish Academy of Sciences

Publications -  44
Citations -  1414

Izabela S. Pieta is an academic researcher from Polish Academy of Sciences. The author has contributed to research in topics: Catalysis & NOx. The author has an hindex of 13, co-authored 41 publications receiving 939 citations. Previous affiliations of Izabela S. Pieta include University of Málaga & University of Waterloo.

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Nanostructured Pt- and Ni-based catalysts for CO2-reforming of methane

TL;DR: In this paper, the effect of using a nanofibrous Al 2 O 3 as support for Ni-based catalysts, modified with Pt, for the dry reforming of methane (DRM) was studied.
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Electrocatalytic methanol oxidation over Cu, Ni and bimetallic Cu-Ni nanoparticles supported on graphitic carbon nitride

TL;DR: In this paper, a hierarchical hetero-structures dropcasted on carbon nitride (C3N4) anodes have been visualised by SEM and their catalytic performance have been examined in methanol electrooxidation reaction (MOR) under alkaline conditions.
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Improved Pt-Ni nanocatalysts for dry reforming of methane

TL;DR: In this paper, the reverse microemulsion method was used for the preparation of nano-alumina catalysts for CO2-reforming of methane, and the results showed that the Pt addition and preparation of the catalysts by ME promoted the formation of NiO, instead of NiAl2O4, and facilitated its reduction to Ni0 during catalysts pre-treatment.
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In situ DRIFT–TRM study of simultaneous NOx and soot removal over Pt–Ba and Pt–K NSR catalysts

TL;DR: In this article, the Pt-Ba/γ-Al2O3 and Pt-K catalysts were investigated under cyclic lean-rich conditions and it was found that the alkali component stabilizes the Pt0/Ptox ratio and better catalyst performance during simultaneous removal of NOx and soot.
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Transient study of the dry reforming of methane over Pt supported on different γ-Al2O3

TL;DR: In this paper, the authors studied CO2 reforming of methane using Pt/Al2O3 model catalysts in a temperature range of 600-800°C using steady-state and transient methods (TRM and DRIFT-MS).