International Peer-Reviewed Journal•Open Access•ISSN 2456-8880
irejournals@gmail.com•+91-7433024337

Home / Current Issue / Paper 1709321

1709321 Vol 8 · Issue 12 Download Paper

Process Optimization for Maximizing Biosurfactant Yields from Alcaligenes Spp.

Onwukwe, C. D. Stanley, H. O. Ogugbue, C. J. Ukanwa, C. C.

Subject area: Biological & Medical Sciences  ·  Area of research: Microbiology

Abstract

This study investigates the optimization of biosurfactant production from indigenous bacterial isolates, Alcaligenes spp. (SC22 and SC24), sourced from the hydrocarbon-impacted Niger Delta region. Biosurfactants, characterized by their amphiphilic properties, represent a sustainable alternative to synthetic surfactants in diverse environmental and industrial applications, particularly in the bioremediation of oil-contaminated sites. The research employed Response Surface Methodology (RSM) with a Central Composite Design (CCD) to systematically enhance biosurfactant yields. Key nutritional and physicochemical parameters, including temperature, pH, salinity, and substrate concentration, were optimized. Molecular identification confirmed the isolates as Alcaligenes faecalis (SC22) and Alcaligenes ammonioxydans (SC24). Findings reveal significant improvements in biosurfactant production under optimized conditions. Optimal parameters typically ranged from 32.5?C?35?C temperature, pH 6.5?7, approximately 3% salinity, and 15%?20% substrate concentration. Sugar molasses proved to be a more favorable carbon source, supporting higher emulsification activities. The Alcaligenes sp. (SC24) strain consistently demonstrated superior biosurfactant production potential, achieving a peak emulsification index of 89.679%. The quadratic model effectively explained the emulsification, highlighting complex interactive effects. These results underscore the promising potential of these indigenous strains for effective and environmentally friendly bioremediation strategies.

Keywords

Biosurfactants, Niger Delta, optimization, RSM, Alcaligenes spp. and Sugar molasses.

References

[1] Aa, I., Op, A., Ujj, I., & Mt, B. (2022). A critical review of oil spills in the Niger Delta aquatic environment: causes, impacts, and bioremediation assessment. Environmental Monitoring and Assessment, 194(11), 816.

[2] Abed, R. M. M., Mahmoud, H., & Sivakumar, N. (2022). Functional Diversity of Microbial Communities in Hydrocarbon-Polluted Ecosystems. In Hydrocarbon Biotechnology (pp. 157-188). Apple Academic Press.

[3] Aina, O. R., Omotayo, A. E., Efthimiou, G., Olaleye, O. N., & Oshoma, C. E. (2024). Assessing Crude oil degradation Potential by Biosurfactant-producing Bacteria Isolated from Marine Ecosystem in Nigeria. Access Microbiology, 000953-v1.

[4] Anyanwu, I. N., Beggel, S., Sikoki, F. D., Okuku, E. O., Unyimadu, J. P., & Geist, J. (2023). Pollution of the Niger Delta with total petroleum hydrocarbons, heavy metals and nutrients in relation to seasonal dynamics. Scientific Reports, 13(1), 14079.

[5] Awadh, M., Hossain, S. M. Z., Haji, S., et al. (2025). Modeling and Global Optimization of Biosurfactant Production from Bacteria Utilizing Frying Oil Waste Via Sequential Statistical and Crow Search Algorithm. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-025-10353-0

[6] Baccile, N., Seyrig, C., Poirier, A., Alonso-de Castro, S., Roelants, S. L., & Abel, S. (2021). Self-assembly, interfacial properties, interactions with macromolecules and molecular modelling and simulation of microbial bio-based amphiphiles (biosurfactants). A tutorial review. Green Chemistry, 23(11), 3842-3944.

[7] Chukwuka, K. S., Alimba, C. G., Ataguba, G. A., & Jimoh, W. A. (2018). The impacts of petroleum production on terrestrial fauna and flora in the oil-producing region of Nigeria. In The political ecology of oil and gas activities in the Nigerian aquatic ecosystem (pp. 125-142). Academic Press.

[8] Datta, P., Tiwari, P., & Pandey, L. M. (2018). Isolation and characterization of biosurfactant producing and oil degrading Bacillus subtilis MG495086 from formation water of Assam oil reservoir and its suitability for enhanced oil recovery. Bioresource Technology, 270, 439-448.

[9] Ebadipour, N., Lotfabad, T. B., Yaghmaei, S., & Roostaazad, R. (2015). Optimization of low-cost biosurfactant production from agricultural residues through the response surface methodology. Preparative Biochemistry & Biotechnology, 46(1). https://doi.org/10.1080/10826068.2014.979204

[10] Goswami, M., & Deka, S. (2019). Biosurfactant production by a rhizosphere bacteria Bacillus altitudinis MS16 and its promising emulsification and antifungal activity. Colloids and Surfaces B: Biointerfaces, 178, 285-296.

[11] Gürkök, S., & Özdal, M. (2021). Microbial biosurfactants: properties, types, and production. Anatolian Journal of Biology, 2(2), 7-12.

[12] Guez, J. S., Vassaux, A., Larroche, C., Jacques, P., & Coutte, F. (2021). New continuous process for the production of lipopeptide biosurfactants in foam overflowing bioreactor. Frontiers in Bioengineering and Biotechnology, 9, 678469.

[13] Kothari, V., & Jobanputra, A. (2022). Molecular Approaches Towards the Synthesis of Biosurfactants. In Microbial Surfactants (pp. 35-58). CRC Press.

[14] Loh, L.-M., Yan, Y.-W., Yap, P.-W., & Ong, A. S.-H. (2019). Palm oil mill effluent as alternate carbon source for ammonia removal in wastewater treatment. Sains Malaysiana, 48(4), 871-876. https://doi.org/10.17576/jsm-2019-4804-19

[15] Najafi, A., Rahimpour, M. R., Jahanmiri, A. H., & Ghobadi Nejad, Z. (2010). Enhancing biosurfactant production from an indigenous strain of Bacillus mycoides by optimizing the growth conditions using a response surface methodology. Chemical Engineering Journal, 163(3), 188-194. https://doi.org/10.1016/j.cej.2010.06.044

[16] Ndibe, T. O., Eugene, W. C., & Usman, J. J. (2018). Screening of biosurfactant-producing bacteria isolated from River Rido, Kaduna, Nigeria. Journal of Applied Sciences and Environmental Management, 22(11), 1855-1861.

[17] Mondal, K., Kumar, S., Singh, A. K., Najar, I. N., Thakur, N., Mondal, K. C., & Das, S. (2024). Overcoming industrial challenges in microbial bioremediation: leveraging modern technologies and sustainable practices. In Functional Metagenomics (pp. 1-20). Academic Press.

[18] Onyena, A. P., & Sam, K. (2020). A review of the threat of oil exploitation to mangrove ecosystem: Insights from Niger Delta, Nigeria. Global Ecology and Conservation, 22, e00961.

[19] Qamar, S. A., & Pacifico, S. (2023). Cleaner production of biosurfactants via bio-waste valorization: A comprehensive review of characteristics, challenges, and opportunities in bio-sector applications. Journal of Environmental Chemical Engineering, 11(6), 111555. https://doi.org/10.1016/j.jece.2023.111555

[20] Ren, S., Wu, Y., Wang, Y., Yuan, C., Liu, Z., & Zhao, F. (2024b). Isolation and Characterization of Biosurfactant-Producing Bacteria from Garlic Farmland Soil and Evaluation of Antimicrobial Activity. Applied Biochemistry and Microbiology, 60(4), 640-648.

[21] Saruni, N. H., Razak, S. A., Habib, S., Ahmad, S. A., Alias, S. A., Johari, W. L. W., ... & Yasid, N. A. (2019). Comparative screening methods for the detection of biosurfactant-producing capability of Antarctic hydrocarbon-degrading Pseudomonas sp. Journal of Environmental Microbiology and Toxicology, 7(1), 44-47.

[22] Shahabi Rokni, M., Halajnia, A., Lakzian, A., & Housaindokht, M. R. (2024). Sugar beet molasses bioconversion into biosurfactant: optimization and comparison with other carbon sources. Biomass Conversion and Biorefinery, 14(21), 27293-27305.

[23] Sharon, A. B., Ahuekwe, E. F., Nzubechi, E. G., Oziegbe, O., & Oniha, M. (2023, June). Statistical optimization strategies on waste substrates for solving high-cost challenges in biosurfactants production: a review. In IOP Conference Series: Earth and Environmental Science (Vol. 1197, No. 1, p. 012004). IOP Publishing.

[24] Soltanighias, T., Singh, A. E., Satpute, S. K., Banpurkar, A. G., Koolivand, A., & Rahi, P. (2019). Assessment of biosurfactant-producing bacteria from oil contaminated soils and their hydrocarbon degradation potential. Environmental Sustainability, 2, 285-296.

[25] Somoza-Coutiño, G., Wong-Villarreal, A., Blanco-González, C., Pérez-Sariñana, B., Mora-Herrera, M., Mora-Herrera, S. I., & Yañez-Ocampo, G. (2020). A bacterial strain of Pseudomonas aeruginosa B0406 pathogen opportunistic produces a biosurfactant with tolerance to changes of pH, salinity and temperature. Microbial Pathogenesis, 139, 103869.

[26] Suhandono, S., Kusuma, S. H., & Meitha, K. (2021). Characterization and production of rhamnolipid biosurfactant in recombinant escherichia coli using autoinduction medium and palm oil mill effluent. Brazilian Archives of Biology and Technology, 64, e21200301.

[27] Ukhurebor, K. E., Athar, H., Adetunji, C. O., Aigbe, U. O., Onyancha, R. B., & Abifarin, O. (2021). Environmental implications of petroleum spillages in the Niger Delta region of Nigeria: a review. Journal of Environmental Management, 293, 112872.

[28] Vigneshwaran, C., Sivasubramanian, V., Vasantharaj, K., Krishnanand, N., & Jerold, M. (2018). Potential of Brevibacillus sp. AVN 13 isolated from crude oil contaminated soil for biosurfactant production and its optimization studies. Journal of Environmental Chemical Engineering, 6(4), 4347-4356.

[29] Zompra, A. A., Chasapi, S. A., Twigg, M. S., Salek, K., Anestopoulos, I., Galanis, A., & Spyroulias, G. A. (2022). Multi-method biophysical analysis in discovery, identification, and in-depth characterization of surface‐active compounds. Frontiers in Marine Science, 9, 1023287.

How to cite this paper

Onwukwe, C. D., Stanley, H. O., Ogugbue, C. J., Ukanwa, C. C. "Process Optimization for Maximizing Biosurfactant Yields from Alcaligenes Spp." Iconic Research And Engineering Journals Volume 8 Issue 12 2025 Page 1377-1394
Onwukwe, C. D., Stanley, H. O., Ogugbue, C. J., Ukanwa, C. C. "Process Optimization for Maximizing Biosurfactant Yields from Alcaligenes Spp." Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025
Onwukwe, C. D., Stanley, H. O., Ogugbue, C. J., Ukanwa, C. C. (2025). Process Optimization for Maximizing Biosurfactant Yields from Alcaligenes Spp.. Iconic Research And Engineering Journals, 8(12).
Onwukwe, C. D., Stanley, H. O., Ogugbue, C. J., Ukanwa, C. C. "Process Optimization for Maximizing Biosurfactant Yields from Alcaligenes Spp." Iconic Research And Engineering Journals, vol. 8, no. 12, Jun. 2025.
@article{1709321,
      author = {Onwukwe, C. D., Stanley, H. O., Ogugbue, C. J., Ukanwa, C. C.},
      title = {Process Optimization for Maximizing Biosurfactant Yields from Alcaligenes Spp.},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {8},
      number = {12},
      pages = {1377-1394},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1709321.pdf},
      abstract = {This study investigates the optimization of biosurfactant production from indigenous bacterial isolates, Alcaligenes spp. (SC22 and SC24), sourced from the hydrocarbon-impacted Niger Delta region. Biosurfactants, characterized by their amphiphilic properties, represent a sustainable alternative to synthetic surfactants in diverse environmental and industrial applications, particularly in the bioremediation of oil-contaminated sites. The research employed Response Surface Methodology (RSM) with a Central Composite Design (CCD) to systematically enhance biosurfactant yields. Key nutritional and physicochemical parameters, including temperature, pH, salinity, and substrate concentration, were optimized. Molecular identification confirmed the isolates as Alcaligenes faecalis (SC22) and Alcaligenes ammonioxydans (SC24). Findings reveal significant improvements in biosurfactant production under optimized conditions. Optimal parameters typically ranged from 32.5?C?35?C temperature, pH 6.5?7, approximately 3% salinity, and 15%?20% substrate concentration. Sugar molasses proved to be a more favorable carbon source, supporting higher emulsification activities. The Alcaligenes sp. (SC24) strain consistently demonstrated superior biosurfactant production potential, achieving a peak emulsification index of 89.679%. The quadratic model effectively explained the emulsification, highlighting complex interactive effects. These results underscore the promising potential of these indigenous strains for effective and environmentally friendly bioremediation strategies.},
      keywords = {Biosurfactants, Niger Delta, optimization, RSM, Alcaligenes spp. and Sugar molasses.},
      month = {June},
  }