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Biotechnology Journal
Article . 2011 . Peer-reviewed
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Prospects for microbial biodiesel production

Authors: Shuobo Shi; Juan Octavio Valle-Rodríguez; Verena Siewers; Jens Nielsen;

Prospects for microbial biodiesel production

Abstract

AbstractAs the demand for biofuels for transportation is increasing, it is necessary to develop technologies that will allow for low‐cost production of biodiesel. Conventional biodiesel is mainly produced from vegetable oil by chemical transesterification. This production, however, has relatively low land‐yield and is competing for agricultural land that can be used for food production. Therefore, there is an increasing interest in developing microbial fermentation processes for production of biodiesel as this will allow for the use of a wide range of raw‐materials, including sugar cane, corn, and biomass. Production of biodiesel by microbial fermentation can be divided into two different approaches, (1) indirect biodiesel production from oleaginous microbes by in vitro transesterification, and (2) direct biodiesel production from redesigned cell factories. This work reviews both microbial approaches for renewable biodiesel production and evaluates the existing challenges in these two strategies.

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Keywords

Bacteria, Fungi, Zea mays, Catalysis, Saccharum, Industrial Microbiology, Biofuels, Fermentation, Microalgae, Plant Oils

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    79
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
79
Top 10%
Top 10%
Top 1%
bronze