Application of response surface methodology to improve the production of antimicrobial biosurfactants by Lactobacillus paracasei subsp. tolerans N2 using sugar cane molasses as substrate

Background Biosurfactants are natural surface-active compounds produced by a variety of microorganisms. The high cost of culture media limits the large-scale production and use of biosurfactants. It is therefore necessary to develop an efficient and cost-effective bioprocess to improve the yield of...

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Bibliographic Details
Published in:Bioresources and bioprocessing 2018-12, Vol.5 (1), p.1-16, Article 48
Main Authors: Hippolyte, Mouafo T., Augustin, Mbawala, Hervé, Tchougang M., Robert, Ndjouenkeu, Devappa, Somashekar
Format: Article
Language:English
Subjects:
Antiinfectives and antibacterials
Antimicrobial activity
Antimicrobial agents
Bactericidal activity
Biochemical Engineering
Biosurfactants
Chemistry
Chemistry and Materials Science
Culture media
E coli
Environmental Engineering/Biotechnology
Industrial and Production Engineering
Infrared analysis
Infrared spectroscopy
Lactobacillus paracasei
Lactobacillus paracasei subsp. tolerans N2
Microorganisms
Molasses
Optimization
Peptone
Pseudomonas aeruginosa
Pseudomonas putida
Response surface methodology
rRNA 16S
Salmonella
Substrates
Sugar
Sugarcane
Surface tension
Surfactants
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Summary:Background Biosurfactants are natural surface-active compounds produced by a variety of microorganisms. The high cost of culture media limits the large-scale production and use of biosurfactants. It is therefore necessary to develop an efficient and cost-effective bioprocess to improve the yield of biosurfactants from microorganisms. In this study, the response surface method was used to optimize the production of biosurfactants by a Lactobacillus strain and the antimicrobial activity of the biosurfactants was assessed. Results The biosurfactant-producing strain was identified as Lactobacillus paracasei subsp. tolerans N2 after 16S rRNA gene analysis. Among the different variables studied using a Plackett–Burman statistical design, temperature and peptone and sugar cane molasses concentrations were found to be the main factors that had significant ( p  
ISSN:2197-4365
2197-4365
DOI:10.1186/s40643-018-0234-4