Preferences help
enabled [disable] Abstract
Number of results
2019 | 137 | 18-30
Article title

Optimization of Biosurfactant production by a novel Rhizobacterial Pseudomonas species

Title variants
Languages of publication
Optimization of biosurfactant has improved the value-chain, process development and cost of production associated with downstream synthesis. This study was designed to determine the optimal conditions for production of biosurfactant using hydrolyzed agroresidues under controlled conditions. Rhizobacterial isolate was obtained from Paspalum sp. growing on an aged crude oil impacted soil in Bodo, Rivers State, Nigeria. The bacterial isolates were identified using 16S rRNA molecular approach on a set of universal primers. One-Variable at a Time approach was applied for verification of pH, Carbon and nitrate sources respectively. Stat-ease Design-Expert version 12.0 was employed in the optimization of the variables while the operational conditions were fitted into a 20-run design matrix using α- level 2.0. Molecular identification confirmed the bacterial isolae to be Pseudomonas sp. with Accession number MH40927 with a gene molecular weight of 6.0kbp. Response for biomass, biosurfactant and Critical Miscelle Concentration (CMC) was observed to fit into a 2nd order Quadratic functions at p<0.05 with optimal conditions were pH = 7.0, Corn chaff = 2.0 g/L and Urea = 1.0 g/L. Biosurfactant = +51.98 + 6.79A + 4.30B 5.45C + 0.2975AB + 0.4975AC + 1.63BC-6.46A² - 3.51B² - 6.94C². This study further identified a directly proportional relationship between biosurfactant production and operational variables which represents a cheaper and feasible production roadmap for biosynthesis.
Physical description
  • Department of Microbiology, Faculty of Science, University of Port Harcourt, Rivers State, Nigeria
  • Department of Microbiology, Faculty of Science, University of Port Harcourt, Rivers State, Nigeria
  • Department of Microbiology, Faculty of Science, University of Port Harcourt, Rivers State, Nigeria
  • [1] Dhail S, Jasuja ND. Isolation of biosurfactant-producing marine bacteria. African Journal of Environmental Science and Technology 2012; 6(6): 263-6.
  • [2] Freitas BG, Brito JGM, Brasileiro PPF, Rufino RD, Luna JM, Santos VA, et al. Formulation of a commercial biosurfactant for application as a dispersant of petroleum and by-products spilled in oceans. Front Microbiol. 2016; 7(OCT): 1-9.
  • [3] Patowary K, Patowary R, Kalita MC, Deka S. Characterization of biosurfactant produced during degradation of hydrocarbons using crude oil as sole source of carbon. Front Microbiol. 2017; 8(FEB): 1–14.
  • [4] Abdel-Mawgoud AM, Lépine F, Déziel E. Rhamnolipids: diversity of structures, microbial origins and roles. Applied Microbiology and Biotechnology 2010 May 1; 86(5): 1323-36.
  • [5] Liang X, Guo C, Liao C, Liu S, Wick LY, Peng D, et al. Drivers and applications of integrated clean-up technologies for surfactant-enhanced remediation of environments contaminated with polycyclic aromatic hydrocarbons (PAHs). Environ Pollut 2017; 225: 129-140.
  • [6] Santhini K, Parthasarathi R. Isolation and Screening of Biosurfactant Producing Microorganisms from Hydrocarbon Contaminated Soils from Automobile Workshop. 2014; 5(2): 158–67.
  • [7] Muthukamalam S, Sivagangavathi S, Dhrishya D, Sudha Rani S. Characterization of dioxygenases and biosurfactants produced by crude oil degrading soil bacteria. Brazilian J Microbiol 2017; 48(4): 637–47.
  • [8] Rikalovic MG, Gojgić Cvijović G, Vrvic MM, Karadzic I. Production and characterization of rhamnolipids from Pseudomonas aeruginosa san-ai. Journal of the Serbian Chemical Society 2012; 77(1): 27-42.
  • [9] De-la-Pena C, Loyola-Vargas VM. Biotic Interactions in the Rhizosphere: A Diverse Cooperative Enterprise for Plant Productivity. Plant Physiol. 2014; 166(2): 701–19.
  • [10] Williams KP, Gillespie JJ, Sobral BWS, Nordberg EK, Snyder EE, Shallom JM, et al. Phylogeny of gammaproteobacteria. J Bacteriol. 2010; 192(9): 2305-14.
  • [11] Almagro G, Viale AM, Montero M, Rahimpour M, Muñoz FJ, Baroja-Fernández E, et al. Comparative genomic and phylogenetic analyses of gammaproteobacterial glg genes traced the origin of the Escherichia coli glycogen glgBXCAP operon to the last common ancestor of the sister orders Enterobacteriales and Pasteurellales. PLoS One 2015; 10(1): 1–30.
  • [12] Keller-Costa T, Jousset A, van Overbeek L, van Elsas JD, Costa R. The freshwater sponge Ephydatia fluviatilis harbours diverse Pseudomonas species (Gammaproteobacteria, Pseudomonadales) with broad-spectrum antimicrobial activity. PloS One 2014 Feb 12; 9(2): e88429.
  • [13] Huang YH, Huang XJ, Chen XH, Cai QY, Chen S, Mo CH, et al. Biodegradation of di-butyl phthalate (DBP) by a novel endophytic bacterium Bacillus subtilis and its bioaugmentation for removing DBP from vegetation slurry. J Environ Manage 2018; 224: 1-9.
  • [14] Santoyo G, Moreno-hagelsieb G, Orozco-mosqueda C, Glick BR. Plant growth-promoting bacterial endophytes. Microbiol Res 2016; 183: 92–9.
  • [15] Ahemad M. Mechanisms and applications of plant growth promoting rhizobacteria : Current perspective. J King Saud Univ – Sci 2014; 26(1): 1–20.
  • [16] S. Daliry, A. Hallajisani, J. Mohammadi Roshandeh, H. Nouri, A. Golzary. Investigation of optimal condition for Chlorella vulgarismicroalgae growth. Global J. Environ. Sci. Manage. 3(2): 217-230, 2017. DOI: 10.22034/gjesm.2017.03.02.010
  • [17] Majid M, Rasoul S, Raziyeh Z, Allal H, Philippe T, Frank D, et al. Optimization of biomass production of Acetobacter pasteurianus KU710511 as a potential starter for fruit vinegar production. African J Biotechnol. 2016; 15(27): 1429–41.
  • [18] Pankaj VP, Awasthi M. Optimization of Growth Condition for Chlorella Vulgaris Using Response Surface Methodology (Rsm). International Journal of Engineering Science & Advanced Technology 2014; 4(5): 492–500.
  • [19] Karanam SK, Babu IS, Rao GH. Process optimization for citric acid production from raw glycerol using response surface methodology. Indian J Biotechnol. 2008; 7(4): 496–501.
  • [20] Ekwuabu CB, Chikere CB, Akaranta O. Effect of Different Nutrient Amendments on Eco-Restoration of a Crude Oil Polluted Soil. InSPE African Health, Safety, Security, Environment, and Social Responsibility Conference and Exhibition 2016 Oct 4. Society of Petroleum Engineers.
  • [21] Indriani D, Isty A, Purwasena A, Eka R, Maghfirotul P, Yuichi A. Screening and characterization of biosurfactant produced by Pseudoxanthomonas sp . G3 and its applicability for enhanced oil recovery. J Pet Explor Prod Technol 2019; 9(3): 2279–89.
  • [22] Das P, Yang XP, Ma LZ. Analysis of biosurfactants from industrially viable Pseudomonas strain isolated from crude oil suggests how rhamnolipids congeners affect emulsification property and antimicrobial activity. Frontiers in Microbiology 2014 Dec 22; 5: 696.
  • [23] Shahwar D-E-, Sheikh RA, Jamil N. Isolation and Characterization of Biosurfactant Producing Bacteria Isolated from Produced Water. Punjab Univ J Zool. 2019; 34(1): 35–40.
  • [24] Peekate PL, Abu GO. Optimizing C: N ratio, C: P ratio, and pH for biosurfactant production by Pseudomonas fluorescens. J. Adv. Microbiol. 2017; 7(2): 1-4.
  • [25] Rashedi,H., and E. Jamshidi. Isolation and production of biosurfactant from Pseudomonas aeruginosa isolated from Iranian southern wells oil. Int J Environ Sci Tech. 2005; 2(2): 121–7.
  • [26] Xiangsheng Z, Lu D. Response surface analyses of rhamnolipid production by Pseudomonas aeruginosa strain with two response values. African J Microbiol Res. 2013; 7(22): 2757–63.
  • [27] Abalos A, Maximo F, Manresa MA, Bastida J. Utilization of response surface methodology to optimize the culture media for the production of rhamnolipids by Pseudomonas aeruginosa AT10. J Chem Technol Biotechnol. 2002; 77(7): 777–84.
  • [28] Abbasi H, Sharafi H, Alidost L, Bodagh A, Zahiri HS, Noghabi KA. Response surface optimization of biosurfactant produced by pseudomonas aeruginosa ma01 isolated from spoiled apples. Prep Biochem Biotechnol. 2013; 43(4): 398–414.
  • [29] Deepika K V., Kalam S, Ramu Sridhar P, Podile AR, Bramhachari P V. (2016) Optimization of rhamnolipid biosurfactant production by mangrove sediment bacterium Pseudomonas aeruginosa KVD-HR42 using response surface methodology. Biocatal Agric Biotechnol. 5: 38–47.
  • [30] Kumar AP, Janardhan A, Radha S, Viswanath B, Narasimha G. Statistical approach to optimize production of biosurfactant by Pseudomonas aeruginosa 2297. 3 Biotech. 2015; 5(1): 71–9. doi: 10.1007/s13205-014-0203-3
  • [31] Zhang X, Dequan L. Response surface analyses of rhamnolipid production by Pseudomonas aeruginosa strain with two response values. African Journal of Microbiology Research 2013 May 28; 7(22): 2757-63.
Document Type
Publication order reference
YADDA identifier
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.