The DOI matches its Crossref record.
Heterogeneous catalytic synthesis of ethanol from biomass-derived syngas
Abstract
The selective catalytic conversion of biomass-derived syngas into ethanol is thermodynamically feasible at temperatures below roughly 350 degrees C at 30 bar. However, if methane is allowed as a reaction product, the conversion to ethanol (or other oxygenates) is extremely limited. Experimental results show that high selectivities to ethanol are only achieved at very low conversions, typically less than 10%. The most promising catalysts for the synthesis of ethanol are based on Rh, though some other formulations (such as modified methanol synthesis catalysts) show promise.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
Controlled Polymerization of Next-Generation Renewable Monomers and Beyond
Yao, K., & Tang, C. (2013) · Macromolecules · doi:10.1021/ma3019574 · Cited by 485
Significant Advances in C1 Catalysis: Highly Efficient Catalysts and Catalytic Reactions
Bao, J., Yang, G., Yoneyama, Y., & Tsubaki, N. (2019) · ACS Catalysis · doi:10.1021/acscatal.8b03924 · Cited by 367
Theoretical Study of Methanol Synthesis from CO2Hydrogenation on Metal-Doped Cu(111) Surfaces
Yang, Y., White, M. G., & Liu, P. (2012) · The Journal of Physical Chemistry C · doi:10.1021/jp208448c · Cited by 308
Opportunities, recent trends and challenges of integrated biorefinery: Part II
Maity, S. K. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.08.075 · Cited by 295
Catalysis Applications of Size-Selected Cluster Deposition
Vajda, S., & White, M. G. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b01816 · Cited by 293
Metadata
- Authors
- Spivey, J. J., & Egbebi, A.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2007
- Volume
- 36
- Issue
- 9
- Pages
- 1514
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2163003928
- Cited by
- 645
- References
- 0
- FWCI
- 0.25
- 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: Heterogeneous catalytic synthesis of ethanol from biomass-derived syngas. https://app.cochat.ai/papers/10.1039/b414039g
- The paper
- Spivey, J. J., & Egbebi, A. (2007). Heterogeneous catalytic synthesis of ethanol from biomass-derived syngas. Chemical Society Reviews. https://doi.org/10.1039/b414039g
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.