Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 414

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Influence of ZrO2 Structure and Copper Electronic State on Activity of Cu/ZrO2 Catalysts in Methanol Synthesis from CO2

Open access
Samson, K., Śliwa, M., Socha, R. P., Góra-Marek, K., Mucha, D., Rutkowska-Zbik, D., Paul, J-F., Ruggiero-Mikołajczyk, M., Grabowski, R., Słoczyński, J.·2014·ACS Catalysis

Abstract

Cu/ZrO 2 catalysts obtained by impregnation of ZrO 2 and complexation with citric acid were studied for CO 2 hydrogenation to methanol. The catalyst structure, texture, and active copper surface were determined using XRD, BET, and reactive adsorption of N 2 O, respectively. The XPS and Auger spectroscopies were used to determine the surface structure and copper electronic state. FT-IR pyridine adsorption was studied to determine acidity of the catalysts. The results of quantum-chemical calculations concerning the formation of oxygen vacancies in monoclinic and tetragonal ZrO 2 have been also presented. It was found that selection of the appropriate conditions of the catalyst preparation influences the degree of copper dispersion, its electronic state, and contents of the zirconia polymorphic phases (tetragonal and monoclinic). The presence of oxygen vacancies stabilizes both the thermodynamically unstable t-ZrO 2 phase and Cu 1+ cations, which are present in the vicinity of oxygen vacancies. Complexes formed preferentially on tetragonal ZrO 2 built from Cu cations and oxygen vacancies are the acid centers active in methanol synthesis reaction; therefore the catalytic activity toward methanol increases with increasing t-ZrO 2 content. The implications of the obtained results for the mechanism of the catalytic hydrogenation of CO 2 are discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/cs500979c

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 414

Metadata

Authors
Samson, K., Śliwa, M., Socha, R. P., Góra-Marek, K., Mucha, D., Rutkowska-Zbik, D., Paul, J.-F., Ruggiero-Mikołajczyk, M., Grabowski, R., & Słoczyński, J.
Venue
ACS Catalysis
Published
2014-09-23
Volume
4
Issue
10
Pages
3730-3741
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2326809340
Cited by
414
References
2
FWCI
4.68
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.