Test for the Presence of Autocorrelation in the Buchanan-three-phase Model used in the Growth of Paracoccus sp. SKG on Acetonitrile

Abstract

Millions of tonnes of organonitriles are produced annually for use in industry. They are carcinogenic and mutagenic. Bioremediation of acetonitrile, an organonitrile, has been touted as a more economical and feasible method compared to physical and chemical approaches. In this work, we model the growth of growth of Paracoccus sp. SKG on acetonitrile from publishedliterature 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 notdetermined 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.