Abstract
Costs associated with production of favorable biologically produced surfactants continue to be a significant obstacle to large scale application. Using industrial wastes and by-products as substrate and optimization of cultural conditions are two strategies of producing biosurfactants with a reasonable price. Also, modeling the biosurfactant production bioprocess improves the commercial design and monitoring of biomass growth, biosurfactant production, and substrate utilization. In this study, the indigenous Bacillus subtilis N3-1P strain and a local brewery waste as the carbon source were used to produce a biosurfactant. The batch cultivation was performed under the optimum conditions. Models describing the biomass growth, biosurfactant production, and substrate utilization were developed by fitting the experimental data to the logistic, Contois and Luedeking-Piret models using MATLAB software and regression analysis. The kinetic parameters including the maximum specific growth rates (µ max), the Contois constant (K), parameters of the Luedeking-Piret modelswere calculated. Yields including Y X/S , and Y P/X were found to be 0.143 gX/gS, and 0.188 gP/gX, respectively. The experimental and predicted model showed good agreement. The developed models are a key step in designing reactors for scale up of biosurfactant production.
Funding source: Petroleum Research Newfoundland and Labrador
Award Identifier / Grant number: N/A
Funding source: Memorial University, and Research & Development Corporation of Newfoundland and Labrador
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This work was supported by Petroleum Research Newfoundland & Labrador (PRNL) and Memorial University, and Research & Development Corporation of Newfoundland and Labrador (RDC).
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Desai, JD, Banat, IM. Microbial production of surfactants and their commercial potential. Microbiol Mol Biol Rev 1997;61:47–64. https://doi.org/10.1128/.61.1.47-64.1997.Search in Google Scholar
2. Makkar, RS, Cameotra, SS, Banat, IM. Advances in utilization of renewable substrates for biosurfactant production. AMB Express 2011;1:5. https://doi.org/10.1186/2191-0855-1-5.Search in Google Scholar
3. Abdel-Mawgoud, AM, Aboulwafa, MM, Hassouna, NAH. Optimization of surfactin production by Bacillus subtilis isolate BS5. Appl Biochem Biotechnol 2008;150:305–25. https://doi.org/10.1007/s12010-008-8155-x.Search in Google Scholar
4. Fox, SL, Bala, GA. Production of surfactant from Bacillus subtilis ATCC 21332 using potato substrates. Bioresour Technol 2000;75:235–40. https://doi.org/10.1016/s0960-8524(00)00059-6.Search in Google Scholar
5. Nitschke, M, Pastore, GM. Production and properties of a surfactant obtained from Bacillus subtilis grown on cassava wastewater. Bioresour Technol 2006;97:336–41. https://doi.org/10.1016/j.biortech.2005.02.044.Search in Google Scholar PubMed
6. Nitschke, M, Ferraz, C, Pastore, GM. Selection of microorganisms for biosurfactant production using agroindustrial wastes. Braz J Microbiol 2004;35:81–5. https://doi.org/10.1590/s1517-83822004000100013.Search in Google Scholar
7. Vedaraman, N, Venkatesh, N. Production of surfactin by Bacillus subtilis MTCC 2423 from waste frying oils. Braz J Chem Eng 2011;28:175–80. https://doi.org/10.1590/s0104-66322011000200001.Search in Google Scholar
8. Faria, AF, Stéfani, D, Martinez, T, Oliveira Barbosa, GN, Gontijo Vaz, B, Serrano Silva, Í, et al.. Production and structural characterization of surfactin (C 14/Leu 7) produced by Bacillus subtilis isolate LSFM-05 grown on raw glycerol from the biodiesel industry. Process Biochem 2011;46:1951–7.10.1016/j.procbio.2011.07.001Search in Google Scholar
9. Sousa, M, Melo, VMM, Rodrigues, S, Santana, HB, Goncalves, LRB. Screening of biosurfactant-producing Bacillus strains using glycerol from the biodiesel synthesis as main carbon source. Bioproc Biosyst Eng 2012;35:897–906. https://doi.org/10.1007/s00449-011-0674-0.Search in Google Scholar PubMed
10. Liu, JH, Chen, YT, Li, H, Jia, YP, Xu, RD, Wang, J. Optimization of fermentation conditions for biosurfactant production by Bacillus subtilis strains CCTCC M201162 from oilfield wastewater. Environ Prog Sustain Energy 2015;34:548–54. https://doi.org/10.1002/ep.12013.Search in Google Scholar
11. Gudiña, EJ, Fernandes, EC, Rodrigues, AI, Teixeira, JA, Rodrigues, LR. Biosurfactant production by Bacillus subtilis using corn steep liquor as culture medium. Front Microbiol 2015;6:1–7. https://doi.org/10.3389/fmicb.2015.00059.Search in Google Scholar
12. Khuri, AI, Cornell, JA. Response surfaces: designs and analyses. 2nd ed. New York: Marcel Dekker; 1996.Search in Google Scholar
13. Myer, RH, Montgomery, DC. Response surface methodology: process and product optimization using designed experiments, 2nd ed. New York: John Wiley and Sons; 1995.Search in Google Scholar
14. Mukherjee, S, Das, P, Sivapathasekaran, C, Sen, R. Enhanced production of biosurfactant by a marine bacterium on statistical screening of nutritional parameters. Biochem Eng J 2008;42:254–60. https://doi.org/10.1016/j.bej.2008.07.003.Search in Google Scholar
15. Ghribi, D, Mnif, I, Boukedi, H, Kammoun, R, Ellouze-Chaabouni, S. Statistical optimization of low-cost medium for economical production of Bacillus subtilis biosurfactant, a biocontrol agent for the olive moth Prays oleae. Afr J Microbiol Res 2011;5:4927–36.10.5897/AJMR11.1125Search in Google Scholar
16. Kumar, SS, Sharmila, G, Muthukumaran, C, Tamilarasan, K, Gopinath, M, Muthukumaran, C. Statistical optimization of critical medium components for biosurfactant production by Bacillus subtilis. J Biosci Biotechnol 2015;4:123–9.Search in Google Scholar
17. Sen, R. Response surface optimization of the critical media components for the production of surfactin. J Chem Technol Biotechnol 1997;68:263–70. https://doi.org/10.1002/(sici)1097-4660(199703)68:3<263::aid-jctb631>3.0.co;2-8.10.1002/(SICI)1097-4660(199703)68:3<263::AID-JCTB631>3.0.CO;2-8Search in Google Scholar
18. Kim, B, Kim, J. Optimization of culture conditions for the production of biosurfactant by Bacillus subtilis JK-1 using response surface methodology. J Korean Soc Appl Biol Chem 2013;56:279–87. https://doi.org/10.1007/s13765-013-3044-6.Search in Google Scholar
19. Jacques, P, Hbid, C, Destain, J, Razafindralambo, H, Paquot, M, De Pauw, E, et al.. Optimization of biosurfactant lipopeptide production from Bacillus subtilis S499 by Plackett-Burman design. Appl Biochem Biotechnol 1999;77:223–33. https://doi.org/10.1385/abab:77:1-3:223.10.1007/978-1-4612-1604-9_22Search in Google Scholar
20. Moshtagh, B, Hawboldt, K, Zhang, B. Optimization of biosurfactant production by Bacillus subtilis N3-1P using the brewery waste as the carbon source. Environ Technol 2018;40:3371–80. https://doi.org/10.1080/09593330.2018.1473502.Search in Google Scholar
21. Ghribi, D, Ellouze-Chaabouni, S. Enhancement of Bacillus subtilis lipopeptide biosurfactants production through optimization of medium composition and adequate control of aeration. Biotechnol Res Int 2011;2011:1–6. https://doi.org/10.4061/2011/653654.Search in Google Scholar
22. Blanco, J, Iglesias, J, Morales, G, Melero, JA, Moreno, J. Comparative life cycle assessment of glucose production from maize starch and woody biomass residues as a feedstock. Appl Sci 2020;10:2946. https://doi.org/10.3390/app10082946.Search in Google Scholar
23. Salim, I, González-García, S, Feijoo, G, Moreira, MT. Assessing the environmental sustainability of glucose from wheat as a fermentation feedstock. J Environ Manag 2019;247:323–32. https://doi.org/10.1016/j.jenvman.2019.06.016.Search in Google Scholar
24. Brewers Association. Water and wastewater: treatment/volume reduction manual. [Internet]; 2016. Available from: https://www.brewersassociation.org/educational-publications/water-wastewater-sustainability-manual/.Search in Google Scholar
25. Bridgewater, A, Conner, B, Slezycki, M. Minimization of environmental impact of Wachusett brewing company processes. Worcester Polytechnic Institute; 2008.Search in Google Scholar
26. Inyang, UE, Bassey, EN, Inyang, JD. Characterization of brewery effluent fluid. J Eng Appl Sci 2012;4:67–77.Search in Google Scholar
27. Brewers Association. Wastewater management guidance manual [Internet]; 2017. Available from: https://www.brewersassociation.org/educational-publications/wastewater-management-guidance-manual/.Search in Google Scholar
28. Dubey, K, Juwarkar, A. Distillery and curd whey wastes as viable alternative sources for biosurfactant production. World J Microbiol Biotechnol 2001;17:61–9. https://doi.org/10.1023/a:1016606509385.10.1023/A:1016606509385Search in Google Scholar
29. Dubey, VK, Charde, NP, Meshram, US, Yadav, KS, Singh, S, Juwarkar, AA. Potential of new microbial isolates for biosurfactant production using combinations of distillery waste with other industrial wastes. J Petrol Environ Biotechnol 2013;4:1–12.10.4172/2157-7463.S1-002Search in Google Scholar
30. Bani Shahabadi, M, Yerushalmi, L, Haghighat, F. Impact of process design on greenhouse gas (GHG) generation by wastewater treatment plants. Water Res 2009;43:2679–87. https://doi.org/10.1016/j.watres.2009.02.040.Search in Google Scholar PubMed
31. Kyung, D, Kim, M, Chang, J, Lee, W. Estimation of greenhouse gas emissions from a hybrid wastewater treatment plant. J Clean Prod 2015;95:117–23. https://doi.org/10.1016/j.jclepro.2015.02.032.Search in Google Scholar
32. Yerushalmi, L, Ashrafi, O, Haghighat, F. Reductions in greenhouse gas (GHG) generation and energy consumption in wastewater treatment plants. Water Sci Technol 2013;67:1159–64. https://doi.org/10.2166/wst.2013.681.Search in Google Scholar PubMed
33. Pan, T, Zhu, XD, Ye, YP. Estimate of life-cycle greenhouse gas emissions from a vertical subsurface flow constructed wetland and conventional wastewater treatment plants: a case study in China. Ecol Eng 2011;37:248–54. https://doi.org/10.1016/j.ecoleng.2010.11.014.Search in Google Scholar
34. Young, CC, Lin, TC, Yeh, MS, Shen, FT, Chang, JS. Identification and kinetic characteristics of an indigenous diesel-degrading Gordonia alkanivorans strain. World J Microbiol Biotechnol 2005;21:1409–14. https://doi.org/10.1007/s11274-005-5742-7.Search in Google Scholar
35. Rodrigues, LR, Teixeira, JA, Oliveira, R. Low-cost fermentative medium for biosurfactant production by probiotic bacteria. Biochem Eng J 2006;32:135–42. https://doi.org/10.1016/j.bej.2006.09.012.Search in Google Scholar
36. Moussa, TAA, Ahmed, GM, Abdel-hamid, SM. Mathematical model for biomass yield and biosurfactant production by Nocardia amarae. J Appl Sci Res 2006;2:844–80.Search in Google Scholar
37. Kumar, A, Janardhan, A, Radha, S, Viswanath, B, Narasimha, G. Statistical approach to optimize production of biosurfactant by Pseudomonas aeruginosa 2297. 3 Biotech 2014;5:71–9. https://doi.org/10.1007/s13205-014-0203-3.Search in Google Scholar PubMed PubMed Central
38. Sadouk-Hachaïchi, Z, Tazerouti, A, Hacene, H. Growth kinetics study of a bacterial consortium producing biosurfactants, constructed with six strains isolated from an oily sludge. Adv Biosci Biotechnol 2014;05:418–25. https://doi.org/10.4236/abb.2014.55050.Search in Google Scholar
39. Heryani, H, Putra, MD. Kinetic study and modeling of biosurfactant production using Bacillus sp. Electron J Biotechnol 2017;27:49–54. https://doi.org/10.1016/j.ejbt.2017.03.005.Search in Google Scholar
40. Sakthipriya, N, Doble, M, Sangwai, JS. Kinetic and thermodynamic behavior of the biodegradation of waxy crude oil using Bacillus subtilis. J Petrol Sci Eng 2018;160:412–21. https://doi.org/10.1016/j.petrol.2017.10.056.Search in Google Scholar
41. Zhu, Z, Zhang, B, Cai, Q, Ling, J, Lee, K, Chen, B. Fish waste based lipopeptide production and the potential application as a bio-dispersant for oil spill control. Front Bioeng Biotechnol 2020;8:734. https://doi.org/10.3389/fbioe.2020.00734.Search in Google Scholar
42. Tan, Y, Wang, ZX, Marshall, KC. Modeling substrate inhibition of microbial growth. Biotechnol Bioeng 1996;52:602–8.10.1002/(SICI)1097-0290(19961205)52:5<602::AID-BIT7>3.0.CO;2-NSearch in Google Scholar
43. Cai, Q, Zhang, B, Chen, B, Zhu, Z, Lin, W, Cao, T. Screening of biosurfactant producers from petroleum hydrocarbon contaminated sources in cold marine environments. Mar Pollut Bull 2014;86:402–10. https://doi.org/10.1016/j.marpolbul.2014.06.039.Search in Google Scholar
44. Ludwig, TG, Goldberg, HJV. The anthrone method for the determination of carbohydrates in foods and in oral rinsing. J Dent Res 1956;35:90–4. https://doi.org/10.1177/00220345560350012301.Search in Google Scholar
45. Alam, D, Yadav, L, Gopi Nath, D, Purushotham, BBM, Kanna, R. Determining surface tension of different fluids with the help of tensiometer. Int Refereed J Eng Nat Appl Sci 2017;6:42–5.Search in Google Scholar
46. Najafpour, GD. Biochemical engineering and biotechnology. 2nd ed. Amsterdam: Elsevier; 2015.10.1016/B978-0-444-63357-6.00002-XSearch in Google Scholar
47. Sharifzadeh Baei, M, Najafpour, GD, Younesi, H, Tabandeh, F, Issazadeh, H, Khodabandeh, M. Growth kinetic parameters and biosynthesis of polyhydroxybutyrate in Cupriavidus necator DSMZ 545 on selected substrates. Chem Ind Chem Eng Q 2011;17:1–8. https://doi.org/10.2298/ciceq100216043b.Search in Google Scholar
48. Luedeking, R, Piret, EL. Kinetic study of the lactic acid fermentation. Batch process at controlled pH. Biotechnol Bioeng 2000;67:636–44. https://doi.org/10.1002/(sici)1097-0290(20000320)67:6<636::aid-bit3>3.0.co;2-u.10.1002/(SICI)1097-0290(20000320)67:6<636::AID-BIT3>3.0.CO;2-USearch in Google Scholar
Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/cppm-2020-0118).
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Articles in the same Issue
- Frontmatter
- Editorial
- CPPM special issue in honour of Emeritus Professor W.Y. “Bill” Svrcek
- Research Articles
- Asphaltene precipitation from heavy oil mixed with binary and ternary solvent blends
- Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste
- A user workflow for combining process simulation and pinch analysis considering ecological factors
- An improved Wilson equation for phase equilibrium K values estimation
- Process model correlating Athabasca bitumen thermally cracked at edge of coking induction zone
- Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?
Articles in the same Issue
- Frontmatter
- Editorial
- CPPM special issue in honour of Emeritus Professor W.Y. “Bill” Svrcek
- Research Articles
- Asphaltene precipitation from heavy oil mixed with binary and ternary solvent blends
- Kinetic modeling of biosurfactant production by Bacillus subtilis N3-1P using brewery waste
- A user workflow for combining process simulation and pinch analysis considering ecological factors
- An improved Wilson equation for phase equilibrium K values estimation
- Process model correlating Athabasca bitumen thermally cracked at edge of coking induction zone
- Flexible digital twins from commercial off-the-shelf software solutions: a driver for energy efficiency and decarbonisation in process industries?