Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 265

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Cooperative Rh-O5/Ni(Fe) Site for Efficient Biomass Upgrading Coupled with H2 Production

Zeng, Lingyou, Chen, Yanju, Sun, Mingzi, Huang, Qizheng, Sun, Kaian, Ma, Jingyuan, Li, Jiong, Tan, Hao, Li, Menggang, Pan, Yuan, Liu, Yunqi, Luo, Mingchuan, Huang, Bolong, Guo, Shaojun·2023·Journal of the American Chemical Society

Abstract

Designing efficient and durable bifunctional catalysts for 5-hydroxymethylfurfural (HMF) oxidation reaction (HMFOR) and hydrogen evolution reaction (HER) is desirable for the co-production of biomass-upgraded chemicals and sustainable hydrogen, which is limited by the competitive adsorption of hydroxyl species (OH ads ) and HMF molecules. Here, we report a class of Rh–O 5 /Ni(Fe) atomic site on nanoporous mesh-type layered double hydroxides with atomic-scale cooperative adsorption centers for highly active and stable alkaline HMFOR and HER catalysis. A low cell voltage of 1.48 V is required to achieve 100 mA cm –2 in an integrated electrolysis system along with excellent stability (>100 h). Operando infrared and X-ray absorption spectroscopic probes unveil that HMF molecules are selectively adsorbed and activated over the single-atom Rh sites and oxidized by in situ-formed electrophilic OH ads species on neighboring Ni sites. Theoretical studies further demonstrate that the strong d–d orbital coupling interactions between atomic-level Rh and surrounding Ni atoms in the special Rh–O 5 /Ni(Fe) structure can greatly facilitate surface electronic exchange-and-transfer capabilities with the adsorbates (OH ads and HMF molecules) and intermediates for efficient HMFOR and HER. We also reveal that the Fe sites in Rh–O 5 /Ni(Fe) structure can promote the electrocatalytic stability of the catalyst. Our findings provide new insights into catalyst design for complex reactions involving competitive adsorptions of multiple intermediates.

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/jacs.3c02570

Cites

37 of 37 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 265

Metadata

Authors
Zeng, L., Chen, Y., Sun, M., Huang, Q., Sun, K., Ma, J., Li, J., Tan, H., Li, M., Pan, Y., Liu, Y., Luo, M., Huang, B., & Guo, S.
Venue
Journal of the American Chemical Society
Published
2023-05-30
Volume
145
Issue
32
Pages
17577-17587
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W4378781696
Cited by
265
References
37
FWCI
12.40
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.