The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A noble-metal free Cu-catalyst derived from hydrotalcite for highly efficient hydrogenation of biomass-derived furfural and levulinic acid
Abstract
A Cu-catalyst derived from hydrotalcite precursor was highly selective for the hydrogenation of biomass-derived furfural and levulinic acid. 90% yield of furfuryl alcohol and 51% yield of 2-methylfuran were achieved selectively in the hydrogenation of furfural. 91% yield of γ-valerolactone was achieved in the hydrogenation of levulinic acid.
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Citations
Cites
Metal Chlorides in Ionic Liquid Solvents Convert Sugars to 5-Hydroxymethylfurfural
Zhao, H., Holladay, J. E., Brown, H., & Zhang, Z. C. (2007) · Science · doi:10.1126/science.1141199 · Cited by 1,997
Cited by
Efficient valorization of biomass to biofuels with bifunctional solid catalytic materials
Li, H., Fang, Z., Smith, R. L., & Yang, S. (2016) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2016.04.004 · Cited by 284
Metadata
- Authors
- Yan, K., Liao, J., Wu, X., & Xie, X.
- Venue
- RSC Advances
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 3
- Issue
- 12
- Pages
- 3853
- ISSN
- 2046-2069 (ISSN-L)
- OpenAlex
- W2129350161
- Cited by
- 192
- References
- 1
- FWCI
- 13.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A noble-metal free Cu-catalyst derived from hydrotalcite for highly efficient hydrogenation of biomass-derived furfural and levulinic acid. https://app.cochat.ai/papers/10.1039/c3ra22158j
- The paper
- Yan, K., Liao, J., Wu, X., & Xie, X. (2013). A noble-metal free Cu-catalyst derived from hydrotalcite for highly efficient hydrogenation of biomass-derived furfural and levulinic acid. RSC Advances. https://doi.org/10.1039/c3ra22158j
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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.