Modelling the Growth of Moraxella sp. B on Monobromoacetic acid (MBA)

Authors

  • Shukor M.S. Snoc International Sdn Bhd, Lot 343, Jalan 7/16 Kawasan Perindustrian Nilai 7, Inland Port, 71800, Negeri Sembilan, Malaysia.
  • N.A. Masdor Biotechnology Research Centre, MARDI, P. O. Box 12301, 50774 Kuala Lumpur, Malaysia
  • N.A. Shamaan Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, 13th Floor, Menara B, Persiaran MPAJ, Jalan Pandan Utama, Pandan Indah, 55100 Kuala Lumpur, Malaysia
  • S.A. Ahmad Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia
  • M.I.E. Halmi Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia
  • M.Y. Shukor Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia

DOI:

https://doi.org/10.54987/bessm.v3i1.258

Keywords:

growth curve, mathematical model, monobromoacetic-degrading, Buchanan-three-phase, statistical analysis

Abstract

Monohalogenated acetic acids have been widely used in industry and agriculture as precursor to
chemicals and as herbicides, respectively. Bioremediation of xenobiotics have been touted as a
more economical and feasible method compared to physical and chemical approaches. In this
work, we model the growth of Moraxella sp. B on monobromoacetic acid (MBA) from published
literature to obtain vital growth constants. These growth constants can only be accurately
obtained from mathematical modelling of the growth curves using various available primary
models such as logistic, Gompertz, Richards, Schnute, Baranyi-Roberts, Von Bertalanffy,
Buchanan three-phase and more recently Huang models. The Buchanan three-phase model was
chosen as the best model based on statistical tests such as root-mean-square error (RMSE),
adjusted coefficient of determination (R2), bias factor (BF), accuracy factor (AF) and corrected
AICc (Akaike Information Criterion). The constants obtained indicated that the lag period was
increased as the concentrations of MAB was increased. In addition, the growth rate was severely reduced at high concentrations of MAB indicating substrate inhibition. Novel constants obtained from the modelling exercise would be useful for further secondary modelling implicating the effect of media conditions and other factors on the growth of this bacterium on MAB.

Published

2015-07-31

How to Cite

M.S., S., Masdor, N., Shamaan, N., Ahmad, S., Halmi, M., & Shukor, M. (2015). Modelling the Growth of Moraxella sp. B on Monobromoacetic acid (MBA). Bulletin of Environmental Science and Sustainable Management (e-ISSN 2716-5353), 3(1), 1–6. https://doi.org/10.54987/bessm.v3i1.258

Issue

Vol. 3 No. 1 (2015)

Section

Articles

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