Test for the Presence of Autocorrelation in the Buchanan-three-phase Model used in the Growth of Moraxella sp. B on Monobromoacetic acid (MBA)

Authors

  • M.S. Shukor 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.A.H. Roslan 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.v3i1.259

Keywords:

Monobromoacetic acid-degrading, Buchanan-three-phase model, Moraxella sp. B, Least square method, autocorrelation

Abstract

Monohalogenated acetic acids usage are widespread in industry and agriculture. They form
precursors to chemicals and as herbicides, respectively. Monobromoacetic acid (MBA) is a
chemical intermediate for the manufacturing of various chemicals with application in agriculture
and pharmacy. Bioremediation of monobromoacetic acid has been touted as a more economical
and feasible method compared to physical and chemical approaches. Previously, we model the
growth of growth of Moraxella sp. B on monobromoacetic acid from published literature to
obtain vital growth constants. We discovered that the Buchanan-three-phase model via nonlinear regression utilizing the least square method was the very best model to explain the growth curve. Nonlinear regression utilizing the least square method typically utilizes the idea that data points usually do not depend upon each other or the value of a data point is not determined by the value of previous or proceeding data points or usually do not display autocorrelation. In this work, the Durbin-Watson statistic to check for the presence of autocorrelation in the growth model was carried out.

Published

2015-07-31

How to Cite

Shukor, M., Masdor, N., Shamaan, N., Ahmad, S., Roslan, M., & Shukor, M. (2015). Test for the Presence of Autocorrelation in the Buchanan-three-phase Model used in the Growth of Moraxella sp. B on Monobromoacetic acid (MBA). Bulletin of Environmental Science and Sustainable Management (e-ISSN 2716-5353), 3(1), 7–9. https://doi.org/10.54987/bessm.v3i1.259

Issue

Vol. 3 No. 1 (2015)

Section

Articles

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