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Cited by 1,088

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Renewable Chemical Commodity Feedstocks from Integrated Catalytic Processing of Pyrolysis Oils

Vispute, Tushar P., Zhang, Huiyan, Sanna, Aimaro, Xiao, Rui, Huber, George W.·2010·Science

Abstract

A Little Help from Hydrogen: Biomass may one day displace petroleum as the chemical industry's primary feedstock. Currently, though, the primary hurdle for incorporating plant-derived material into existing process feeds is the high proportion of oxygen in its molecular frameworks. Rapid heating of the biomass followed by high-temperature treatment with zeolite catalysts can yield tractable quantities of useful commodity compounds such as ethylene and benzene, but much of the carbon is wasted in the process—diverted either toward gaseous CO and CO 2 , or solid coke. Vispute et al. (p. 1222 ) show that an intermediate step, in which hydrogen is catalytically incorporated into the heated material prior to zeolite treatment, can substantially raise the yield of useful products by reducing susceptibility to coking.

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Metadata

Authors
Vispute, T. P., Zhang, H., Sanna, A., Xiao, R., & Huber, G. W.
Venue
Science
Published
2010-11-26
Volume
330
Issue
6008
Pages
1222-1227
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2035280974
Cited by
1,088
References
2
FWCI
39.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Renewable Chemical Commodity Feedstocks from Integrated Catalytic Processing of Pyrolysis Oils. https://app.cochat.ai/papers/10.1126/science.1194218
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Vispute, T. P., Zhang, H., Sanna, A., Xiao, R., & Huber, G. W. (2010). Renewable Chemical Commodity Feedstocks from Integrated Catalytic Processing of Pyrolysis Oils. Science. https://doi.org/10.1126/science.1194218

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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.