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The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Conversion of biomass platform molecules into fuel additives and liquid hydrocarbon fuels

Open access
Climent, Maria J., Corma, Avelino, Iborra, Sara·2014·Green Chemistry

Abstract

In this work some relevant processes for the preparation of liquid hydrocarbon fuels and fuel additives from cellulose, hemicellulose and triglycerides derived platform molecules are discussed. Thus, it is shown that a series of platform molecules such as levulinic acid, furans, fatty acids and polyols can be converted into a variety of fuel additives through catalytic transformations that include reduction, esterification, etherification, and acetalization reactions. Moreover, we will show that liquid hydrocarbon fuels can be obtained by combining oxygen removal processes (e.g. dehydration, hydrogenolysis, hydrogenation, decarbonylation/descarboxylation etc.) with the adjustment of the molecular weight via C–C coupling reactions (e.g. aldol condensation, hydroxyalkylation, oligomerization, ketonization) of the reactive platform molecules.

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Crossref · 10.1039/c3gc41492b

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Metadata

Authors
Climent, M. J., Corma, A., & Iborra, S.
Venue
Green Chemistry
Published
2014
Volume
16
Issue
2
Pages
516
ISSN
  • 1463-9262 (ISSN-L)
  • 1463-9270
OpenAlex
W2147840935
Cited by
1,383
References
9
FWCI
52.08
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Conversion of biomass platform molecules into fuel additives and liquid hydrocarbon fuels. https://app.cochat.ai/papers/10.1039/c3gc41492b
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Climent, M. J., Corma, A., & Iborra, S. (2014). Conversion of biomass platform molecules into fuel additives and liquid hydrocarbon fuels. Green Chemistry. https://doi.org/10.1039/c3gc41492b

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.