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Identification and statistical optimization of fermentation conditions for a newly isolated extracellular cholesterol oxidase-producing Streptomyces cavourensis strain NEAE-42

Overview of attention for article published in BMC Microbiology, September 2016
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Title
Identification and statistical optimization of fermentation conditions for a newly isolated extracellular cholesterol oxidase-producing Streptomyces cavourensis strain NEAE-42
Published in
BMC Microbiology, September 2016
DOI 10.1186/s12866-016-0830-4
Pubmed ID
Authors

Noura El-Ahmady El-Naggar, Nancy M. El-Shweihy, Sara M. El-Ewasy

Abstract

Due to broad range of clinical and industrial applications of cholesterol oxidase, isolation and screening of bacterial strains producing extracellular form of cholesterol oxidase is of great importance. One hundred and thirty actinomycete isolates were screened for their cholesterol oxidase activity. Among them, a potential culture, strain NEAE-42 is displayed the highest extracellular cholesterol oxidase activity. It was selected and identified as Streptomyces cavourensis strain NEAE-42. The optimization of different process parameters for cholesterol oxidase production by Streptomyces cavourensis strain NEAE-42 using Plackett-Burman experimental design and response surface methodology was carried out. Fifteen variables were screened using Plackett-Burman experimental design. Cholesterol, initial pH and (NH4)2SO4 were the most significant positive independent variables affecting cholesterol oxidase production. Central composite design was chosen to elucidate the optimal concentrations of the selected process variables on cholesterol oxidase production. It was found that, cholesterol oxidase production by Streptomyces cavourensis strain NEAE-42 after optimization process was 20.521U/mL which is higher than result obtained from the basal medium before screening process using Plackett-Burman (3.31 U/mL) with a fold of increase 6.19. The cholesterol oxidase level production obtained in this study (20.521U/mL) by the statistical method is higher than many of the reported values.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 10 18%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Researcher 3 5%
Other 5 9%
Unknown 16 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 22%
Biochemistry, Genetics and Molecular Biology 10 18%
Chemistry 5 9%
Engineering 4 7%
Immunology and Microbiology 3 5%
Other 1 2%
Unknown 20 36%
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 21 September 2016.
All research outputs
#20,342,896
of 22,889,074 outputs
Outputs from BMC Microbiology
#2,695
of 3,196 outputs
Outputs of similar age
#277,924
of 320,232 outputs
Outputs of similar age from BMC Microbiology
#57
of 70 outputs
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