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Optimization of cultural conditions for conversion of glycerol to ethanol by Enterobacter aerogenes S012

Overview of attention for article published in AMB Express, February 2013
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40 Mendeley
Title
Optimization of cultural conditions for conversion of glycerol to ethanol by Enterobacter aerogenes S012
Published in
AMB Express, February 2013
DOI 10.1186/2191-0855-3-12
Pubmed ID
Authors

Raymond E S Nwachukwu, Abolghasem Shahbazi, Lijun Wang, Mulumebet Worku, Salam Ibrahim, Keith Schimmel

Abstract

The aim of this research is to optimize the cultural conditions for the conversion of glycerol to ethanol by Enterobacter aerogenes S012. Taguchi method was used to screen the cultural conditions based on their signal to noise ratio (SN). Temperature (°C), agitation speed (rpm) and time (h) were found to have the highest influence on both glycerol utilization and ethanol production by the organism while pH had the lowest. Full factorial design, statistical analysis, and regression model equation were used to optimize the selected cultural parameters for maximum ethanol production. The result showed that fermentation at 38°C and 200 rpm for 48 h would be ideal for the bacteria to produce maximum amount of ethanol from glycerol. At these optimum conditions, ethanol production, yield and productivity were 25.4 g/l, 0.53 g/l/h, and 1.12 mol/mol-glycerol, repectively. Ethanol production increased to 26.5 g/l while yield and productivity decreased to 1.04 mol/mol-glycerol and 0.37 g/l/h, respectively, after 72 h. Analysis of the fermentation products was performed using HPLC, while anaerobic condition was created by purging the fermentation vessel with nitrogen gas.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Ph. D. Student 6 15%
Professor 5 13%
Researcher 5 13%
Student > Bachelor 4 10%
Other 9 23%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 30%
Environmental Science 5 13%
Biochemistry, Genetics and Molecular Biology 5 13%
Engineering 5 13%
Chemical Engineering 3 8%
Other 5 13%
Unknown 5 13%
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 06 February 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from AMB Express
#964
of 1,228 outputs
Outputs of similar age
#249,676
of 282,949 outputs
Outputs of similar age from AMB Express
#8
of 19 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,228 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% 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 282,949 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.