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Optimization of the production and characterization of milk clotting enzymes by Bacillus subtilis natto

Overview of attention for article published in SpringerPlus, January 2013
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Title
Optimization of the production and characterization of milk clotting enzymes by Bacillus subtilis natto
Published in
SpringerPlus, January 2013
DOI 10.1186/2193-1801-2-33
Pubmed ID
Authors

Wu, Fang-Chen

Abstract

Suitable medium for production of milk clotting enzyme (MCE) by Bacillus subtilis (natto) Takahashi in submerged liquid-state fermentation was screened, the nutrient factors affecting MCE production was optimized by response surface methodology. The MCE production by B. subtilis (natto) Takahashi was increased significantly by 428% in the optimal medium developed. The MCE was filtered and concentrated by ultrafiltration. The retentate after tandem filtration carried out with the combined membranes of MWCO 50kDa and 5 kDa showed two major bands between 25kDa and 30kDa on SDS-PAGE, and the MCA and MCA/PA improved significantly in comparison with those in the initial broth. The crude enzyme thus obtained showed MCA and MCA/PA ratio of 48,000 SU/g and 6,400, which are commensurate with those (MCA 26,667 SU/g and MCA/PA 6,667) of the commercial rennet. It had optimal pH and temperature at pH 6 and 60°C, and showed excellent pH and thermal stability.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
Chile 1 3%
India 1 3%
Germany 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 26%
Student > Bachelor 5 16%
Student > Ph. D. Student 5 16%
Researcher 5 16%
Professor > Associate Professor 3 10%
Other 3 10%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 35%
Chemistry 6 19%
Biochemistry, Genetics and Molecular Biology 4 13%
Materials Science 2 6%
Engineering 2 6%
Other 3 10%
Unknown 3 10%

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 January 2013.
All research outputs
#2,904,307
of 3,628,216 outputs
Outputs from SpringerPlus
#544
of 742 outputs
Outputs of similar age
#224,573
of 280,617 outputs
Outputs of similar age from SpringerPlus
#85
of 177 outputs
Altmetric has tracked 3,628,216 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 742 research outputs from this source. They receive a mean Attention Score of 2.5. 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 280,617 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 177 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.