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Cited by 186

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

One-pot reduction of 5-hydroxymethylfurfural via hydrogen transfer from supercritical methanol

Open access
Hansen, Thomas S., Barta, Katalin, Anastas, Paul T., Ford, Peter C., Riisager, Anders·2012·Green Chemistry

Abstract

Catalytic conversion of HMF to valuable chemicals was achieved over a Cu-doped porous metal oxide in supercritical methanol. The hydrotalcite catalyst precursor is prepared following simple synthetic procedures, using inexpensive and earth-abundant starting materials in aqueous solutions. The hydrogen equivalents needed for the reductive deoxygenation of HMF originate from the solvent itself upon its reforming. Dimethylfuran, dimethyltetrahydrofuran and 2-hexanol were obtained in good yields. At milder reaction temperatures, a combined yield (DMF + DMTHF) of 58% was achieved. Notably, the formation of higher boiling side products and undesired char from HMF is not detected under these reaction conditions.

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Crossref · 10.1039/c2gc35667h

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Metadata

Authors
Hansen, T. S., Barta, K., Anastas, P. T., Ford, P. C., & Riisager, A.
Venue
Green Chemistry
Published
2012
Volume
14
Issue
9
Pages
2457
ISSN
  • 1463-9262 (ISSN-L)
  • 1463-9270
OpenAlex
W2080794238
Cited by
186
References
1
FWCI
7.67
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: One-pot reduction of 5-hydroxymethylfurfural via hydrogen transfer from supercritical methanol. https://app.cochat.ai/papers/10.1039/c2gc35667h
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Hansen, T. S., Barta, K., Anastas, P. T., Ford, P. C., & Riisager, A. (2012). One-pot reduction of 5-hydroxymethylfurfural via hydrogen transfer from supercritical methanol. Green Chemistry. https://doi.org/10.1039/c2gc35667h

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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.