Modeling the Inhibitory Effects of Octylphenol Polyethoxylates on Aeromonas sp. Growth: Evaluating Bioremediation Kinetics through Advanced Growth Models

Authors

  • Umar Abubakar Mohamad Department of Biological Sciences, Faculty of Science, Gombe State University, P.M.B 127, Tudun Wada, Gombe, Gombe State, Nigeria.
  • Normala Halimoon Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • Wan Lutfi Wan Johari Department of Environment, Faculty of Forestry and Environment, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • Garba Uba Department of Science Laboratory Technology, College of Science and Technology, Jigawa State Polytechnic, Dutse, PMB 7040, Nigeria.
  • Ibrahim Sabo Department of Microbiology, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020 Wukari, Taraba State Nigeria.

DOI:

https://doi.org/10.54987/jebat.v6i2.978

Keywords:

Nigella sativa, Ziziphus jujuba, Medicinal plant, Peptic ulcer, Nutrients

Abstract

Octylphenol polyethoxylates (OPEs) constitute a class of non-ionic surfactants extensively3employed in various industrial applications. However, concerns have arisen regarding the potential environmental and human health impacts of OPEs because of their widespread use and persistence in aquatic environments. Bioremediation of OPE in the environment using OPE-degrading bacterium is appealing as bacterial metabolism converts OPE to harmless carbon dioxide and water as byproducts. In this study, various secondary growth models such as Luong, Yano, Teissier-Edward, Aiba, Haldane, Monod, Han, and Levenspiel were employed to model the inhibitory effect of high OPE concentrations to the growth rate of Aeromonas sp. TXBc10 the bacterium on OPE. Following thorough statistical analyses such as root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), and accuracy factor (AF), the Teissier model emerged as the most optimal choice. All of the studied models showed good fittings except Moser, Monod and Hinshelwood which showed the poorest curve fitting. The calculated value for the Luong’s constants maximal degradation rate, half saturation constant for maximal degradation, maximal concentration of substrate tolerated and curve parameter that defines the steepness of the growth rate decline from the maximum rate symbolized by qmax, Ks, Sm, and n were 8.91 h-1 (95% confidence interval or C.I. from 7.15 to 10.67), 1116.19 mg/L (95% C.I. from 815.53 to 1416.84), 1074.6 mg/L (95% C.I. from 1037.8 to 1111.5) and 11.90 (95% C.I. from 5.30 to 18.51), respectively. It is possible that these new constants found when modeling could be useful inputs for future modeling efforts. In addition incorporating substrate inhibition kinetics into risk assessment models contributes to a more accurate evaluation of the potential risks associated with the presence of toxic substrates in contaminated sites. This information is vital for decision-making in environmental management.

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Published

2023-12-31

How to Cite

Mohamad, U. A. ., Halimoon, N. ., Johari, W. L. W., Uba, G., & Sabo, I. (2023). Modeling the Inhibitory Effects of Octylphenol Polyethoxylates on Aeromonas sp. Growth: Evaluating Bioremediation Kinetics through Advanced Growth Models. Journal of Environmental Bioremediation and Toxicology, 6(2), 11–17. https://doi.org/10.54987/jebat.v6i2.978

Issue

Vol. 6 No. 2 (2023)

Section

Articles

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