Efficient conversion of black cumin cake from industrial waste into lipopeptide biosurfactant by Pseudomonas fluorescens

被引:9
作者
Ciurko, Dominika [1 ]
Laba, Wojciech [1 ]
Kancelista, Anna [1 ]
John, Lukasz [2 ]
Gudina, Eduardo J. [3 ,4 ]
Lazar, Zbigniew [1 ]
Janek, Tomasz [1 ]
机构
[1] Wroclaw Univ Environm & Life Sci, Dept Biotechnol & Food Microbiol, PL-51630 Wroclaw, Poland
[2] Univ Wroclaw, Fac Chem, PL-50383 Wroclaw, Poland
[3] Univ Minho, Ctr Biol Engn, CEB, P-4710057 Braga, Portugal
[4] Associate Lab, LABBELS, Guimaraes, Braga, Portugal
关键词
Black cumin cake; Pseudomonas fluorescens; Lipopeptides; Optimization studies; Antifungal activity; CYCLIC LIPOPEPTIDE; SURFACTIN PRODUCTION; BACILLUS; SEED; OPTIMIZATION; BACTERIUM; DSS73;
D O I
10.1016/j.bej.2023.108981
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Most biosurfactants are obtained using costly culture media, which limits their wider industrial use. In the present study, a low-cost culture medium, containing the agro-industrial residue black cumin cake, was devel-oped for amphisin production by Pseudomonas fluorescens DSS73. By using black cumin cake as the substrate, not only was the production cost reduced but also a higher production yield was achieved. A Box-Behnken experi-mental design was applied to maximize lipopeptide biosurfactant production. The optimal conditions for amphisin production, such as black cumin cake (6.6%) and NaCl (8.0 mM) concentration, and cultivation time (6.5 days), were determined. Yield of amphisin production, performed in optimal conditions, reached 16.51 +/- 0.49 g/L. Such high production has not been evidenced previously for Pseudomonas lipopeptide biosurfactants. Moreover, active utilization of the substrate, observed with the aid of scanning electron microscopy (SEM), documented by numerous holes and pitting on the black cumin cake surface, was confirmed. Finally, antifungal activity of amphisin against Aspergillus carbonarius was demonstrated. Hence, amphisin production by P. fluorescens was achieved with statistical optimization using an inexpensive agro-industrial by-product for the first time.
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页数:10
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