A neo-logistic model for the growth of bacteria
作者： Tohru Tashiro , Fujiko Yoshimura
DOI: 10.1016/J.PHYSA.2019.03.049
关键词:
摘要: Abstract We propose a neo-logistic model that can describe bacterial growth data precisely. This is not derived by modifying the logistic formally, but incorporating synthesis of inducible enzymes into indirectly. Therefore, meaning parameters becomes physically clear. The approximate much more accurately than previous models, and predict order saturated number bacteria in stationary phase from initial data.
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