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Identifying target processes for microbial electrosynthesis by elementary mode analysis

Overview of attention for article published in BMC Bioinformatics, December 2014
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Title
Identifying target processes for microbial electrosynthesis by elementary mode analysis
Published in
BMC Bioinformatics, December 2014
DOI 10.1186/s12859-014-0410-2
Pubmed ID
Authors

Frauke Kracke, Jens O Krömer

Abstract

BackgroundMicrobial electrosynthesis and electro fermentation are techniques that aim to optimize microbial production of chemicals and fuels by regulating the cellular redox balance via interaction with electrodes. While the concept is known for decades major knowledge gaps remain, which make it hard to evaluate its biotechnological potential. Here we present an in silico approach to identify beneficial production processes for electro fermentation by elementary mode analysis. Since the fundamentals of electron transport between electrodes and microbes have not been fully uncovered yet, we propose different options and discuss their impact on biomass and product yields.ResultsFor the first time 20 different valuable products were screened for their potential to show increased yields during anaerobic electrically enhanced fermentation. Surprisingly we found that an increase in product formation by electrical enhancement is not necessarily dependent on the degree of reduction of the product but rather the metabolic pathway it is derived from. We present a variety of beneficial processes with product yield increases of maximal 36% in reductive and 84% in oxidative fermentations and final theoretical product yields up to 100%. This includes compounds that are already produced at industrial scale such as succinic acid, lysine and diaminopentane as well as potential novel bio-commodities such as isoprene, para-hydroxybenzoic acid and para-aminobenzoic acid. Furthermore, it is shown that the way of electron transport has major impact on achievable biomass and product yields. The coupling of electron transport to energy conservation could be identified as crucial for most processes.ConclusionsThis study introduces a powerful tool to determine beneficial substrate and product combinations for electro-fermentation. It also highlights that the maximal yield achievable by bio electrochemical techniques depends strongly on the actual electron transport mechanisms. Therefore it is of great importance to reveal the involved fundamental processes to be able to optimize and advance electro fermentations beyond the level of lab-scale studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 1%
India 2 <1%
Germany 1 <1%
United Kingdom 1 <1%
Singapore 1 <1%
Spain 1 <1%
Unknown 208 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 26%
Researcher 49 23%
Student > Master 25 12%
Student > Bachelor 15 7%
Student > Doctoral Student 11 5%
Other 25 12%
Unknown 35 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 38 18%
Agricultural and Biological Sciences 33 15%
Environmental Science 31 14%
Engineering 27 12%
Chemical Engineering 14 6%
Other 23 11%
Unknown 51 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 December 2014.
All research outputs
#15,313,289
of 22,775,504 outputs
Outputs from BMC Bioinformatics
#5,373
of 7,276 outputs
Outputs of similar age
#208,678
of 352,738 outputs
Outputs of similar age from BMC Bioinformatics
#105
of 151 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,276 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.