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Cited by 904

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cellulase, Clostridia, and Ethanol

Open access
Demain, Arnold L., Newcomb, Michael, Wu, J. H. David·2005·Microbiology and Molecular Biology Reviews

Abstract

SUMMARY: Biomass conversion to ethanol as a liquid fuel by the thermophilic and anaerobic clostridia offers a potential partial solution to the problem of the world's dependence on petroleum for energy. Coculture of a cellulolytic strain and a saccharolytic strain of Clostridium on agricultural resources, as well as on urban and industrial cellulosic wastes, is a promising approach to an alternate energy source from an economic viewpoint. This review discusses the need for such a process, the cellulases of clostridia, their presence in extracellular complexes or organelles (the cellulosomes), the binding of the cellulosomes to cellulose and to the cell surface, cellulase genetics, regulation of their synthesis, cocultures, ethanol tolerance, and metabolic pathway engineering for maximizing ethanol yield.

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Crossref · 10.1128/mmbr.69.1.124-154.2005

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Metadata

Authors
Demain, A. L., Newcomb, M., & Wu, J. H. D.
Venue
Microbiology and Molecular Biology Reviews
Published
2005-03
Volume
69
Issue
1
Pages
124-154
ISSN
  • 1092-2172 (ISSN-L)
  • 1098-5557
OpenAlex
W2140861527
Cited by
904
References
3
FWCI
3.24
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cellulase, Clostridia, and Ethanol. https://app.cochat.ai/papers/10.1128/mmbr.69.1.124-154.2005
The paper
Demain, A. L., Newcomb, M., & Wu, J. H. D. (2005). Cellulase, Clostridia, and Ethanol. Microbiology and Molecular Biology Reviews. https://doi.org/10.1128/mmbr.69.1.124-154.2005

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.