Mathematical Modeling of the growth of Acinetobacter baumannii YNWH 226 on Azo dye Congo red

Authors

  • Ibrahim Alhaji Sabo Department of Microbiology, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020 Wukari, Taraba State Nigeria.
  • Salihu Yahuza Department of Microbiology and Biotechnology, Faculty of Science, Federal University Dutse, P.M.B., 7156, Dutse, Jigawa State, Nigeria.
  • Mohd Yunus Shukor Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.

DOI:

https://doi.org/10.54987/jebat.v4i2.626

Keywords:

Wastewater, Azo dye, Acinetobacter sp, Modified Schnute, Biodegradation

Abstract

Industrial effluents (Azo dyes) are brightly coloured, making their disposal into receiving waters undesirable not only because many Azo dyes and their breakdown products are toxic to aquatic life and mutagenic to humans, but also because many Azo dyes and their breakdown products are harmful to aquatic life due to the presence of aromatics and metals, chlorides, and other chemicals. Various kinetic models, including modified Gompertz, Baranyi-Roberts, modified Richards, Von Bertalanffy, modified Logistics, modified Schnute, Buchanan three-phase, and the most recently presented Huang, were used in this study. Based on statistical tests, the modified Schnute model provided the best fit, with the lowest values for RMSE and corrected Akaike Information Criteria (AICc), the greatest value for adjusted R2, and the closest to unity for both Accuracy and Bias Factor. The Modified Schnute parameters such as λ (lag time), µmax (maximum specific bacterial growth rate) and curve fitting parameters α and β (Constant), were found to be -4.39 (95% confidence interval of -77.58 to 68.79), 57.00 (95% confidence interval of -2854.30 to 2968.30), 0.78 (95% confidence interval of -0.34 to 1.89) and 0.96 (95% confidence interval of -0.85 to 2.78, respectively.

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Published

2021-12-31

How to Cite

Sabo, I. A., Yahuza, S., & Shukor, M. Y. (2021). Mathematical Modeling of the growth of Acinetobacter baumannii YNWH 226 on Azo dye Congo red. Journal of Environmental Bioremediation and Toxicology, 4(2), 7–10. https://doi.org/10.54987/jebat.v4i2.626

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