Test of Randomness of Residuals for the Buchanan-three-phase model used in the Fitting the Growth of Moraxella sp. B on Monobromoacetic acid (MBA)

Authors

  • M.K. Sabullah Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, University Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia
  • 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
  • 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.v3i1.261

Keywords:

MAB-degrading, Buchanan-three-phase, Moraxella sp. B, ordinary least squares method, runs test

Abstract

Monobromoacetic acid (MBA) is a chemical intermediate often use in agriculture and
pharmaceutical industries. The use of monohalogenated acetic acids including monobromoacetic
acids in industry and agriculture has led to numerous environmental issues. Bioremediation of
monobromoacetic acid, has been recommended as a cheaper and achievable method when
compared with physical and chemical approaches. Formerly, 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. However, an essential consideration, which has not been pointed out enough, is the residuals of the model have to be random. To ensure that randomness being met we carry out the Wald-Wolfowitz runstest. The results showed that the number of runs was 13, and the expected number of runs under the assumption of randomness was 7.462, indicating the series of residuals had adequate runs. The p-value obtained was greater than 0.05, therefore the null hypothesis is not rejected indicating no convincing evidence of non-randomness of the residuals and they do represent noise.

Published

2015-07-31

How to Cite

Sabullah, M., Shukor, M., Masdor, N., Shamaan, N., & Shukor, M. (2015). Test of Randomness of Residuals for the Buchanan-three-phase model used in the Fitting the Growth of Moraxella sp. B on Monobromoacetic acid (MBA). Bulletin of Environmental Science and Sustainable Management (e-ISSN 2716-5353), 3(1), 13–15. https://doi.org/10.54987/bessm.v3i1.261

Issue

Vol. 3 No. 1 (2015)

Section

Articles

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