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Statistical investigation of Kluyveromyces lactis cells permeabilization with ethanol by response surface methodology

Overview of attention for article published in Brazilian Journal of Microbiology, December 2013
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Title
Statistical investigation of Kluyveromyces lactis cells permeabilization with ethanol by response surface methodology
Published in
Brazilian Journal of Microbiology, December 2013
DOI 10.1590/s1517-83822013000400007
Pubmed ID
Authors

Janaína T. de Faria, Pollyana F. Rocha, Attilio Converti, Flávia M.L. Passos, Luis A. Minim, Fábio C. Sampaio

Abstract

The aim of our study was to select the optimal operating conditions to permeabilize Kluyveromyces lactis cells using ethanol as a solvent as an alternative to cell disruption and extraction. Cell permeabilization was carried out by a non-mechanical method consisting of chemical treatment with ethanol, and the results were expressed as β-galactosidase activity. Experiments were conducted under different conditions of ethanol concentration, treatment time and temperature according to a central composite rotatable design (CCRD), and the collected results were then worked out by response surface methodology (RSM). Cell permeabilization was improved by an increase in ethanol concentration and simultaneous decreases in the incubation temperature and treatment time. Such an approach allowed us to identify an optimal range of the independent variables within which the β-galactosidase activity was optimized. A maximum permeabilization of 2,816 mmol L(-1) oNP min(-1) g(-1) was obtained by treating cells with 75.0% v/v of ethanol at 20.0 °C for 15.0 min. The proposed methodology resulted to be effective and suited for K. lactis cells permeabilization at a lab-scale and promises to be of possible interest for future applications mainly in the food industry.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Student > Bachelor 5 12%
Researcher 5 12%
Student > Master 4 10%
Professor > Associate Professor 3 7%
Other 6 15%
Unknown 12 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 32%
Biochemistry, Genetics and Molecular Biology 8 20%
Chemical Engineering 2 5%
Unspecified 2 5%
Engineering 2 5%
Other 2 5%
Unknown 12 29%
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 03 February 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Brazilian Journal of Microbiology
#1,047
of 1,377 outputs
Outputs of similar age
#282,779
of 320,964 outputs
Outputs of similar age from Brazilian Journal of Microbiology
#21
of 40 outputs
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