The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
UiO-66 derived Ru/ZrO2@C as a highly stable catalyst for hydrogenation of levulinic acid to γ-valerolactone
Abstract
A self-prepared 0.85 wt% Ru/ZrO 2@C catalyst shows an excellent stability for hydrogenation of levulinic acid to γ-valerolactone upon catalyst reuse experiments.
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Citations
Cites
Conversion of Biomass into Chemicals over Metal Catalysts
Besson, M., Gallezot, P., & Pinel, C. (2014) · Chemical Reviews · doi:10.1021/cr4002269 · Cited by 1,780
Cited by
Single-atom catalyst: a rising star for green synthesis of fine chemicals
Zhang, L., Ren, Y., Liu, W., Wang, A., & Zhang, T. (2018) · National Science Review · doi:10.1093/nsr/nwy077 · Cited by 386
Self-citationKim, M., Kim, S., Park, J., Lee, S., Jang, I., Kim, S., Lee, C. Y., Kwon, O. J., Ham, H. C., Hupp, J. T., et al. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202300673 · Cited by 34
Metadata
- Authors
- Cao, W., Luo, W., Ge, H., Su, Y., Wang, A., & Zhang, T.
- Venue
- Green Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2017
- Volume
- 19
- Issue
- 9
- Pages
- 2201-2211
- ISSN
- 1463-9262 (ISSN-L)
- 1463-9270
- OpenAlex
- W2601879102
- Cited by
- 214
- References
- 1
- FWCI
- 9.31
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: UiO-66 derived Ru/ZrO2@C as a highly stable catalyst for hydrogenation of levulinic acid to γ-valerolactone. https://app.cochat.ai/papers/10.1039/c7gc00512a
- The paper
- Cao, W., Luo, W., Ge, H., Su, Y., Wang, A., & Zhang, T. (2017). UiO-66 derived Ru/ZrO2@C as a highly stable catalyst for hydrogenation of levulinic acid to γ-valerolactone. Green Chemistry. https://doi.org/10.1039/c7gc00512a
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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.
