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

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Shukor M.S.

Abstract

Monohalogenated acetic acids usage are widespread in industry and agriculture. They formprecursors to chemicals and as herbicides, respectively. Monobromoacetic acid (MBA) is achemical intermediate for the manufacturing of various chemicals with application in agricultureand pharmacy. Bioremediation of monobromoacetic acid has been touted as a more economicaland feasible method compared to physical and chemical approaches. Previously, we model thegrowth of growth of Moraxella sp. B on monobromoacetic acid from published literature toobtain 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.

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How to Cite
M.S., Shukor. 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 Management, [S.l.], v. 3, n. 1, p. 7-9, dec. 2015. ISSN 2289-5876. Available at: <http://journal.hibiscuspublisher.com/index.php/BESM/article/view/259>. Date accessed: 21 sep. 2018.
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