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
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
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.