Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 509

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Tuning the Selective Adsorption Site of Biomass on Co3O4 by Ir Single Atoms for Electrosynthesis

Lu, Yuxuan, Liu, Tianyang, Dong, Chung‐Li, Huang, Yu‐Cheng, Li, Yafei, Chen, Jun, Zou, Yuqin, Wang, Shuangyin·2021·Advanced Materials

Abstract

The electrosynthesis from 5‐hydroxymethylfurfural (HMF) is considered a green strategy to achieve biomass‐derived high‐value chemicals. As the molecular structure of HMF is relatively complicated, understanding the HMF adsorption/catalysis behavior on electrocatalysts is vital for biomass‐based electrosynthesis. The electrocatalysis behavior can be modulated by tuning the adsorption energy of the reactive molecules. In this work, the HMF adsorption behavior on spinel oxide, Co 3 O 4 is discovered. Correspondingly, the adsorption energy of HMF on Co 3 O 4 is successfully tuned by decorating with single‐atom Ir. It is observed that compared with bare Co 3 O 4, single‐atom‐Ir‐loaded Co 3 O 4 (Ir‐Co 3 O 4) can enhance adsorption with the CC groups of HMF. The synergetic adsorption can enhance the overall conversion of HMF on electrocatalysts. With the modulated HMF adsorption, the as‐designed Ir‐Co 3 O 4 exhibits a record performance (with an onset potential of 1.15 V RHE) for the electrosynthesis from HMF.

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/adma.202007056

Cites

5 of 5 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 5 references

Cited by

See all 509

Metadata

Authors
Lu, Y., Liu, T., Dong, C., Huang, Y., Li, Y., Chen, J., Zou, Y., & Wang, S.
Venue
Advanced Materials
Publisher
Wiley
Published
2021-01-20
Volume
33
Issue
8
Pages
e2007056-e2007056
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W3122785574
Cited by
509
References
5
FWCI
21.42
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Tuning the Selective Adsorption Site of Biomass on Co3O4 by Ir Single Atoms for Electrosynthesis. https://app.cochat.ai/papers/10.1002/adma.202007056
The paper
Lu, Y., Liu, T., Dong, C., Huang, Y., Li, Y., Chen, J., Zou, Y., & Wang, S. (2021). Tuning the Selective Adsorption Site of Biomass on Co3O4 by Ir Single Atoms for Electrosynthesis. Advanced Materials. https://doi.org/10.1002/adma.202007056

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.