Application of foaming capacity as response value in optimization of biosurfactant production

Authors

  • Pedro Peekate Lekiah Department of Microbiology, Faculty of Science, Rivers State University, P.M.B. 5080 Port Harcourt, Nigeria.
  • John Ugboma Chukwuemeka Department of Microbiology, Faculty of Science, Rivers State University, P.M.B. 5080 Port Harcourt, Nigeria.

DOI:

https://doi.org/10.30574/gscarr.2020.4.2.0064

Keywords:

Foaming capacity, Surface tension, Biosurfactant, Optimization, Response surface methodology

Abstract

Equipment for determination of surface tension (ST) which is the response value often used during biosurfactant optimization are not readily available in many laboratories. Foaming capacity (FC) was thus investigated as response value during biosurfactant optimization. Thirteen variations of glycerol-mineral salts medium were used to culture Pseudomonas sp. for biosurfactant production and optimization. Variations in the medium were based on pH, carbon-nitrogen (C-N) and carbon-phosphorus (C-P) ratio. Inoculated media were incubated at ambient temperature with orbital shaking at 150 rpm for four days. FC of the media were then determined and fitted using a polynomial model so as to obtain a prediction profile. The prediction profile was used to determine the combination of C-N ratio, C-P ratio, and pH that will lead to the highest FC. This combination was used in another experimental run for biosurfactant production, and at the end the culture was screened for biosurfactant activity. The results obtained showed that foaming was achieved in selected experimental runs, and the model for the prediction profile was worked out to be Y = -513.03 + 103.3804 X1 + 2.1211 X2 + 16.2848 X3 – 0.1108X1X2 – 0.3656 X1X3 – 0.0339X2X3 – 6.1730 X12 – 0.0099 X22 – 0.4432 X32. From the prediction profiles it was seen that the highest FC (32.04%) was achievable at combination of pH 7.0, C-N 40, and C-P 13. Biosurfactant activity of the culture with optimized combination showed that ST reduced from 56.43 to 35.28 mN.m-1. It is concluded that FC can be used in place of ST during biosurfactant optimization procedures.

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References

Cameotra SS, Makkar RS, Kaur J and Mehta SK. (2010). Synthesis of biosurfactants and their advantages to microorganisms and mankind. In: Sen R (Ed.), Biosurfactants. Springer Science and Business Media, New York, 261-280.

Banat IM, Satpute SK, Cameotra SS, Patil R and Nyayanit NV. (2014). Cost effective technologies and renewable substrates for biosurfactant production. Frontiers in Microbiology, 5, 1-18.

Zhang X and Dequan L. (2013). Response surface analyses of rhamnolipid production by Pseudomonas aeruginosa strain with two response values. African Journal of Microbiological Research, 7(22), 2757-2763.

Kumar AP, Janardhan A, Radha S, Viswanath B and Narasimha G. (2015). Statistical approach to optimize production of biosurfactant by Pseudomonas aeruginosa 2297. 3 Biotech, 5, 71-79.

Tuleva BK, Ivanov GR and Christova NE. (2002). Biosurfactant production by a new Pseudomonas putida strain. Z. Naturforsch, 57c, 356-360.

Benincasa M, Marques A, Pinazo A and Manresa A. (2010). Rhamnolipid surfactants: alternative substrate, new strategies. In: Sen R (Ed.), Biosurfactants. Springer Science and Business Media, New York, 170-184.

Chandankere R, Yao J, Masakorala K, Jain AK and Kumar R. (2014). Enhanced production and characterization of biosurfactant produced by a newly isolated Bacillus amyloliquefaciens USTBb using response surface methodology. International Journal of Current Microbiology and Applied Sciences, 3(2), 66-80.

Bento FM, Camargo FAO, Okeke BC and Frankenberger Jr. WT. (2005). Diversity of biosurfactant producing microorganisms isolated from soils contaminated with diesel oil. Microbiological Research, 160, 249-255.

Mahdy HM, Fareid MA and Hamdan MN. (2012). Production of biosurfactant from certain Candida strains under special conditions. Researcher, 4(7), 39-55.

Walter V, Syldatk C and Hausmann R. (2010). Screening concepts for the isolation of biosurfactant producing microorganisms. In: Sen R (Ed.), Biosurfactants, Springer Science and Business Media, New York, 1-13.

Negi AS and Anand SC. (1985). A Textbook of Physical Chemistry. New Age International, New Delhi, India, 88-89.

Almansoory AF, Idris M, Abdullah SRS and Anuar N. (2014). Screening for potential biosurfactant producing bacteria from hydrocarbon-degrading isolates. Advances in Environmental Biology, 8(3), 639-647.

El-Sheshtawy HS and Doheim MM. (2014). Selection of Pseudomonas aeruginosa for biosurfactant production and studies of its antimicrobial activity. Egyptian Journal of Petroleum, 23, 1-6.

Satpute SK, Banpurkar AG, Dhakephalkar PK, Banat IM and Chopade BA. (2010). Methods for investigating biosurfactants and bioemulsifiers: a review. Critical Reviews in Biotechnology, 30(2), 127-144.

Chandran P and Das N. (2011). Characterization of sphorolipid biosurfactant produced by yeast grown on diesel oil. International Journal of Science and Nature, 2(1), 63-71.

Dhail S and Jasuja ND. (2012). Isolation of biosurfactant-producing marine bacteria. African Journal of Environmental Science and Technology, 6(6), 263-266.

Pacheco GJ, Ciapina EMP, Gomes EB and Nei PJ. (2010). Biosurfactant production by Rhodococcus erythropolis and its application to oil removal. Brazilian Journal of Microbiology, 41, 685-693.

Prescott LM, Harley JP and Klein DA. (1999). Microbiology, fourth edition. The McGraw-Hill companies, Inc., New York, 243.

Reynolds MT, Falkiner FR, Hardy R and Keane CT. (1979). Differentiation of fluorescent Pseudomonas by their effect on milk agar. Journal of Medical Microbiology, 12, 379-382.

Stanier RY, Adelberg EA and Ingraham JL. (1977). General Microbiology, fourth edition. The Macmillan press Ltd., London, 593-595.

Morita Y, Tomida J and Kawamura Y. (2014). Responses of Pseudomonas aeruginosa to antimicrobials. Frontiers in Microbiology, 4, 1-8.

Razafindralambo H, Paquot M, Baniel A, Popineau Y, Hbid C, Jacques P and Thonart P. (1996). Foaming properties of surfactin, a lipopeptide biosurfactant from Bacillus subtilis. Journal of the American Oil Chemists’ Society, 73, 149-151.

Dehghan-Noudeh G, Moshafi MH, Behravan E, Torkzadeh S and Afzadi MA. (2009). Screening Three Strains of Pseudomonas aeruginosa: Prediction of Biosurfactant-Producer Strain. American Journal of Applied Sciences, 6, 1453-1457.

Draper NR and Smith H. (1998). Applied Regression Analysis, third edition. Hoboken, NJ: John Wiley and Sons, Inc., 115-134.

Peekate PL and Abu GO. (2017). Optimizing C: N ratio, C: P ratio and pH for biosurfactant production by Pseudomonas fluorescens. Journal of Advances in Microbiology, 7(2), 1-14.

Ozdemir G, Peker-Basara S and Helvaci SS. (2004). Effect of pH on the surface and interfacial behavior of rhamnolipids R1 and R2. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 234, 135-143.

Deepika KV, Kalam S, Sridhar PR, Podile AR and Bramhachari PV. (2015). Optimization of rhamnolipid biosurfactant production by mangrove sediment bacterium Pseudomonas aeruginosa KVD-HR42 using Response Surface Methodology. Biocatalysis and Agricultural Biotechnology, 5, 38-47.

Effiong E, Agwa OK and Abu GO. (2019). Optimization of Biosurfactant production by a novel Rhizobacterial Pseudomonas species. World Scientific News, 137, 18-30.

Persson A, Osterberg E and Dostalek M. (1988). Biosurfactant production by Pseudomonas fluorescens 378: growth and product characteristics. Applied Microbiology and Biotechnology, 29, 1–4.

Thavasi R, Sharma S and Jayalakshmi S. (2011). Evaluation of screening methods for the isolation of biosurfactant producing marine bacteria. Journal of Petroleum and Environmental Biotechnology, S1.001, 1-6.

Viramontes-Ramos S, Portillo-Ruiz MC, Ballinas-Casarrubias ML, Torres-Munoz JV, Rivera-Chavira BE and Nevarez-Moorillon GV. (2010). Selection of biosurfactant/bioemulsifier-producing bacteria from hydrocarbon-contaminated soil. Brazilian Journal of Microbiology, 41, 668-675.

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Published

2020-08-30

How to Cite

Lekiah, P. P., & Chukwuemeka, J. U. (2020). Application of foaming capacity as response value in optimization of biosurfactant production. GSC Advanced Research and Reviews, 4(2), 023–033. https://doi.org/10.30574/gscarr.2020.4.2.0064

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