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

Abstract

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 < 0.05) influence on biosurfactant production. The results of this study showed that molasses concentration at 59.5 g/L, peptone at 6.20 g/L and temperature of 33 °C were optimal conditions for biosurfactant production, with a maximum yield of 2.70 g/L. The biosurfactant exhibited surface tension reduction of 37.85 mN/m and antimicrobial activity expressed as inhibition diameter of 63 mm. Partial characterizations by elemental, biochemical and Fourier transmission infrared spectroscopy analysis of the biosurfactant produced revealed that it was glycolipoprotein in nature. The biosurfactant exhibited bactericidal activity against Pseudomonas aeruginosa PSB2, Pseudomonas putida PSJ1, Salmonella sp. SL2, Escherichia coli MTCC 118, Bacillus sp. BC1 and Staphylococcus aureus STP1 at concentrations ranging from 6.4 to 50 mg/mL. Conclusion: The yield of biosurfactant was four-fold higher after optimization of media components and culture conditions using response surface methodology. The results of this study suggested that sugar cane molasses can be used as a low-cost substrate to enhance the yield of biosurfactants with antimicrobial activity.

Recent Trends on Biosurfactants With Antimicrobial Activity Produced by Bacteria Associated With Human Health: Different Perspectives on Their Properties, Challenges, and Potential Applications

“…In the literature, the major class of antimicrobial BSs from bacteria associated with human health is lipopeptides, glycolipids, glycopeptides, and glycolipoproteins Abdalsadiq and Zaiton, 2018;Hippolyte et al, 2018;Emmanuel et al, 2019). About 16 research papers described lactobacilli antimicrobial BS production, 10 of which are characterized as cell-free BSs and seven as cell-associated BSs (Cornea et al, 2016) describe two kinds of molecules, one released in the medium and one bound to the cell.…”

Statistical and Artificial Neural Network Approaches to Modeling and Optimization of Fermentation Conditions for Production of a Surface/Bioactive Glyco-lipo-peptide

“…The MIC of 8.125 µg/mL of the partially-purified compound is informative and points to its potency in the control of Proteus vulgaris associated diseases with a fully-purified product. Reports on microbial production of glycolipopeptides are few (Thavasi et al 2011a ; Karlapudi et al 2020 ; Hippolyte et al 2018 ), and even fewer address biological activity potentials. Kiran et al ( 2009 ) reported a similar broad spectrum antimicrobial potential of a glycolipoprotein produced from a sponge-associated marine fungus Aspergillus ustus strain MSF3.…”

“…Kiran et al (2009) reported a similar broad spectrum antimicrobial potential of a glycolipoprotein produced from a spongeassociated marine fungus Aspergillus ustus strain MSF3. Both Karlapudi et al (2020) and Hippolyte et al (2018) used the agar well diffusion method as against the broth microdilution method adopted in this study and so the MIC results could not be corroborated. However, all four reports have confirmed the antimicrobial activity of their various glycolipopeptides.…”

“…6 Comparison of ANN and RSM models for glycolipopeptide production using a bar charts of a multiple t-test of model error metrics and b volcano plot of q values against individual error metric difference. The inserted table presents the magnitude of q values, with the encircled ones recommended as more reliable comparison error metrics 1 3 microbial production of glycolipopeptides are few (Thavasi et al 2011a;Karlapudi et al 2020;Hippolyte et al 2018), and even fewer address biological activity potentials. Kiran et al (2009) reported a similar broad spectrum antimicrobial potential of a glycolipoprotein produced from a spongeassociated marine fungus Aspergillus ustus strain MSF3.…”

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

“…Additionally, economical production is of great interest for the decrease the cost of production and the maximization of the production yield. Several food industry wastes were used in the production of surfactant lipopeptides such as millet our (Ghribi et al 2012), sesame peel our (Mnif et al 2013a), rice bran (Shih et al 2008), tuna sh our and potato waste our (Mnif et al 2013c), soybean our (Wang et al 2008); (Kim et al 2009), soybean sauce (Cho et al 2009), potato residues (Wang et al 2008), brewery waste (Moshtagh et al 2019), papaya waste (Soares et al 2018), molasses and whey (Rodrigues et al 2006); (Joshi et al 2008); (Hippolyte et al 2018) and butter milk and poultry-transforming wastes (Zouari et al 2019a). These raw materials are very rich in sugars corresponding to carbon substrates favorable for the production of lipopeptides.…”