Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 184

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Copper-based catalysts for the efficient conversion of carbohydrate biomass into γ-valerolactone in the absence of externally added hydrogen

Yuan, Jing, Li, Shu-Shuang, Yu, Lei, Liu, Yong-Mei, Cao, Yong, He, He-Yong, Fan, Kang-Nian·2013·Energy & Environmental Science

Abstract

The direct production of γ-valerolactone (GVL), an essential component for next-generation biorefineries, by a straightforward conversion of bio-derived levulinic acid (LA)/formic acid (FA) streams without the externally added fossil-fuel H2 has rarely been achieved. We describe here a sustainable, cost-effective and highly efficient protocol for directly converting a 1 : 1 aqueous mixture of LA and FA into GVL in high yields. The process is catalyzed by an earth-abundant and robust copper-based metal oxide catalyst, in which the high performance of the copper catalyst for the in situ generation of hydrogen gas in the systems by the highly selective decomposition of FA in an aqueous medium is essential. This catalytic system is also effective with raw cellulosic biomass, such as giant reed, as the starting material, thus paving a new way toward a renewable chemical industry.

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 · 10.1039/c3ee40857d

Cites

1 of 1 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 1 references

Cited by

See all 184

Metadata

Authors
Yuan, J., Li, S.-S., Yu, L., Liu, Y.-M., Cao, Y., He, H.-Y., & Fan, K.-N.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
11
Pages
3308
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2128900118
Cited by
184
References
1
FWCI
9.21
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: Copper-based catalysts for the efficient conversion of carbohydrate biomass into γ-valerolactone in the absence of externally added hydrogen. https://app.cochat.ai/papers/10.1039/c3ee40857d
The paper
Yuan, J., Li, S.-S., Yu, L., Liu, Y.-M., Cao, Y., He, H.-Y., & Fan, K.-N. (2013). Copper-based catalysts for the efficient conversion of carbohydrate biomass into γ-valerolactone in the absence of externally added hydrogen. Energy & Environmental Science. https://doi.org/10.1039/c3ee40857d

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.