Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 410

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Copper‐Based Metal–Organic Porous Materials for CO2 Electrocatalytic Reduction to Alcohols

Albo, Jonathan, Vallejo, Daniel, Beobide, Garikoitz, Castillo, Oscar, Castaño, Pedro, Irabien, Angel·2017·ChemSusChem

Abstract

The electrocatalytic reduction of CO 2 has been investigated using four Cu‐based metal–organic porous materials supported on gas diffusion electrodes, namely, (1) HKUST‐1 metal–organic framework (MOF), [Cu 3(μ 6‐C 9 H 3 O 6)2]n; (2) CuAdeAce MOF, [Cu 3(μ 3‐C 5 H 4 N 5)2]n; (3) CuDTA mesoporous metal–organic aerogel (MOA), [Cu(μ‐C 2 H 2 N 2 S 2)]n; and (4) CuZnDTA MOA, [Cu 0.6 Zn 0.4(μ‐C 2 H 2 N 2 S 2)]n. The electrodes show relatively high surface areas, accessibilities, and exposure of the Cu catalytic centers as well as favorable electrocatalytic CO 2 reduction performance, that is, they have a high efficiency for the production of methanol and ethanol in the liquid phase. The maximum cumulative Faradaic efficiencies for CO 2 conversion at HKUST‐1‐, CuAdeAce‐, CuDTA‐, and CuZnDTA‐based electrodes are 15.9, 1.2, 6, and 9.9 %, respectively, at a current density of 10 mA cm−2, an electrolyte‐flow/area ratio of 3 mL min cm−2, and a gas‐flow/area ratio of 20 mL min cm−2. We can correlate these observations with the structural features of the electrodes. Furthermore, HKUST‐1‐ and CuZnDTA‐based electrodes show stable electrocatalytic performance for 17 and 12 h, respectively.

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 · 10.1002/cssc.201600693

Cites

11 of 11 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

Show all 11 references

Cited by

Metadata

Authors
Albo, J., Vallejo, D., Beobide, G., Castillo, O., Castaño, P., & Irabien, A.
Venue
ChemSusChem
Publisher
Wiley
Published
2016-08-25
Volume
10
Issue
6
Pages
1100-1109
ISSN
  • 1864-5631 (ISSN-L)
  • 1864-564X
OpenAlex
W2508280130
Cited by
410
References
11
FWCI
8.49
Type
journal article
Language
en
Open access
closed

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.