scholarly journals Valorization of Date Syrup by the Production of Lipopeptide Biosurfactants by a Bacillus mojavensis BI2 strain: Bioprocess Optimization by Response Surface Methodology and Study of Surface Activities

Author(s):  
Mnif Inès ◽  
Amir Bouallegue ◽  
Salwa Mekki ◽  
Dhouha Ghribi

Abstract Lipopeptides Biosurfactants are natural surface-active compounds produced by a variety of microorganisms. They have great interest in environmental, biomedical and agro-industrial fields. However, the high cost of culture media and the low yield of production limit their large-scale production and application. The development of efficient and cost-effective bioprocess became of a great interest for the improvement of the yield of biosurfactants and the decrease of production cost. In this aim, we applied the response surface method to optimize an economic biosurfactant production by a newly isolated strain B. mojavensis BI2 on date syrup called “Luegmi” as unique carbon and nitrogen source. Using a Box-Bhenken design, we studied the effect of three independent variables on lipopeptide production; Leugmi concentration, Na 2 HPO 4 and incubation time. The results of this study showed that Leugmi concentration at 25%, Na 2 HPO 4 at 0.1% and incubation time of 24 hours were optimal conditions for biosurfactant production, with a maximum surface tension decreasing capacity of 55% corresponding to 27 mN/m and oil dispersing of 30 cm 2 corresponding to a diameter of 6 cm. Preliminary characterization of the biosurfactant produced on Luegmi by UV-Spectra and Thin Layer Chromatography showed its lipopeptide characters. Physic-chemical characterization of the produced lipopepetide on Leugmi showed its great surface activities and stabilities at different pH, temperature and salts concentration. The results of this study suggested that Leugmi, an agricultural byproducts can be used as a low-cost substrate to enhance the yield of lipopeptide biosurfactants with great surface activities for potential environmental application.

1987 ◽  
Vol 88 (3) ◽  
pp. 317-321 ◽  
Author(s):  
J.L. Copa-Patiño ◽  
I.F. Monistrol ◽  
F. Laborda ◽  
M.I. Pérez-Leblic

2010 ◽  
Vol 139 (9) ◽  
pp. 1418-1424 ◽  
Author(s):  
B. D. M. TOM ◽  
A. J. VAN HOEK ◽  
R. PEBODY ◽  
J. McMENAMIN ◽  
C. ROBERTSON ◽  
...  

SUMMARYCharacterization of the incubation time from infection to onset is important for understanding the natural history of infectious diseases. Attempts to estimate the incubation time distribution for novel A(H1N1v) have been, up to now, based on limited data or peculiar samples. We characterized this distribution for a generic group of symptomatic cases using laboratory-confirmed swine influenza case-information. Estimates of the incubation distribution for the pandemic influenza were derived through parametric time-to-event analyses of data on onset of symptoms and exposure dates, accounting for interval censoring. We estimated a mean of about 1·6–1·7 days with a standard deviation of 2 days for the incubation time distribution in those who became symptomatic after infection with the A(H1N1v) virus strain. Separate analyses for the <15 years and ⩾15 years age groups showed a significant (P<0·02) difference with a longer mean incubation time in the older age group.


2021 ◽  
Author(s):  
Ayman Chmayssem ◽  
Lauriane Petit ◽  
Nicolas Verplanck ◽  
Véronique Mourier ◽  
Séverine Vignoud ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document