Mathematical Modelling of Azo Blue Dye Degradation by Streptomyces DJP15

Authors

  • Abdussamad Abubakar Department of Microbiology, Faculty of Sciences, Bauchi State University Gadau, PMB 65 Itas Gadau, Bauchi, Nigeria.
  • Salihu Ibrahim Center for Biotechnology Research, Bayero University, PMB 3011 Kano, Nigeria.
  • Mustapha Abba Department of Microbiology, Faculty of Sciences, Bauchi State University Gadau, PMB 65 Itas Gadau, Bauchi, Nigeria.

DOI:

https://doi.org/10.54987/bessm.v5i1.588

Keywords:

Azo Blue dye; decolorization; Streptomyces DJP15; kinetics modelling

Abstract

Azo dyes are the most well-known synthetic dyes. They have been widely utilized as colorants in various sectors, including textiles, photography/printing, food, medicines, etc. This industry has produced a massive quantity of solid waste, soil slurry, and effluents which are mostly passed into the water bodies or the environments. These dyes tend to compromises the physical, chemical and biological nature of the environments. More so, they have significant health risks on the aquatic life, livestock and the whole environmental biodiversity. Furthermore, they are known to be carcinogenic. In this research, seven (7) different kinetics models, Huang, modified Richards, modified Logistics, modified Gompertz, Buchanan-3-phase, Baranyi-Roberts and von Bertalanffy, were utilized in modeling the growth of Streptomyces DJP15 growth in the degradation of azo blue dye. While all the models show good curve fitting, the von Bertalanffy model was found to be the best model with the lowest RMSE (0.410), AICc (0.58) and has the highest adjR2 (0.983). Thus, this study indicated that the growth of Streptomyces DJP15 on azo blue dye could be described mathematically. Notably, the parameters obtained can be utilized to predict the bioremediation of azo blue dye in the future.

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Published

2021-07-31

How to Cite

Abubakar, A., Ibrahim, S., & Abba, M. (2021). Mathematical Modelling of Azo Blue Dye Degradation by Streptomyces DJP15. Bulletin of Environmental Science and Sustainable Management (e-ISSN 2716-5353), 5(1), 27–31. https://doi.org/10.54987/bessm.v5i1.588

Issue

Vol. 5 No. 1 (2021)

Section

Articles

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