Microbial growth in a closed system, such as a laboratory flask with a fixed volume of liquid, follows a characteristic growth curve that illustrates how bacterial populations change over time. In this context, a closed system is defined as one where no additional nutrients can be added and waste products cannot be removed, leading to limited resources that ultimately restrict infinite growth.
The microbial growth curve is typically represented on a graph with the number of cells plotted on a logarithmic scale on the y-axis and time on the x-axis. This curve consists of four distinct phases: the lag phase, log phase, stationary phase, and decline phase.
The first phase, known as the lag phase, is characterized by a period of adjustment where cells synthesize the necessary enzymes for growth. During this time, cell division is minimal, and the number of cells remains relatively low as they acclimate to their environment.
Following the lag phase is the log phase, also referred to as the exponential phase. In this phase, cells begin to divide at a constant and rapid rate, leading to exponential growth. The population increases significantly as the cells are now fully equipped to grow and reproduce.
The third phase is the stationary phase, where nutrient levels become limited. In this phase, the rate of cell division equals the rate of cell death, resulting in a plateau on the growth curve. Although the total number of cells remains constant, the population is in a state of equilibrium due to the constraints of the closed system.
Finally, the decline phase, or death phase, occurs when the number of dying cells begins to exceed the number of new cells being produced. The growth curve shows a gradual decrease in cell numbers, as limited nutrients lead to increased mortality. Interestingly, as cells die, they release their contents into the environment, which can provide some nutrients for the surviving cells, thus prolonging their viability.
Understanding these phases is crucial, as they are commonly assessed in educational settings. The growth rate is plotted using a logarithmic scale, emphasizing the importance of recognizing and identifying each phase of microbial growth in a closed system.