Publication: Observing the parameter dependant system on the formation of lag phase curve in a bacteria growth
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Date
2021-06-01
Authors
Chang, Chee Wing
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Abstract
Predictive biology plays an important in forecasting the behaviour of the microorganism under the unpredictable environment condition such as temperature and pH. In order to precisely simulate the growth of the microorganism, several growth models had been proposed. Logistic model, modified Gompertz equation, Luedeking-Piret model and Monod model are the models that were studied in this work. These models composed of several growth parameters which have
significant impact on the growth curve. Typically, growth curves are presented in the form of sigmoidal curve. Growth parameters such as maximum specific growth rate (µmax) and lag time (𝜆) can be affected by the environment condition. In this work, the effect of the variation of the growth parameters on the formation of sigmoidal curve especially the duration of lag phase had been studied. Simulation of this work was carried out using MATLAB® and data collection by Microsoft Excel®. Higher value of maximum specific growth rate (µmax) in Logistic model and Monod model shorten the duration of lag phase while the µmax in modified Gompertz model has no effect on the duration of lag phase but make the slope of the exponential phase steeper. Besides, higher yield coefficient (Ys) is found to that not only increase the yield concentration but also increase the duration of lag phase.