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10: BACTERIAL GROWTH CURVE

  • Page ID
    157070
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    Learning Objectives

    • Monitor and interpret the bacterial growth curve by measuring optical density over time and identifying the four distinct phases of bacterial population growth: lag, log, stationary, and death.

    • Calculate the generation time of a bacterial culture using spectrophotometer data and explain the importance of timing in microbial growth for experimental accuracy and clinical decision-making.

    BACKGROUND

    When bacteria are introduced into a nutrient-rich environment, they undergo population growth that follows a characteristic pattern known as the bacterial growth curve. This curve consists of four distinct phases, each representing a different stage in the life cycle of the population: the lag phase, log phase, stationary phase, and death phase.

    During the lag phase, cells are metabolically active but not dividing. They are adjusting to their new environment, synthesizing enzymes, and preparing for population growth. There may be little to no increase in cell number during this time, but critical physiological changes are taking place.

    Once cells have adjusted, they enter the log phase (also called the exponential phase), where they begin to divide at a constant and rapid rate. This phase is characterized by exponential growth—each cell divides into two, then four, then eight, and so on. Because of this multiplication pattern, the number of cells increases dramatically in a short period. This is also the phase where cells are most uniform in terms of size, shape, and metabolic activity, making it ideal for many microbiological experiments.

    Eventually, nutrients become depleted and waste products begin to accumulate, leading to the stationary phase. In this phase, the rate of cell division slows and is approximately equal to the rate of cell death. The total number of viable cells remains relatively constant, but cellular stress and survival mechanisms become more prominent.

    Finally, if environmental conditions continue to deteriorate, the culture enters the death phase (also known as the decline phase), during which the number of dying cells exceeds the number of new cells being produced. This decline continues until nutrients are exhausted or toxic conditions prevent further growth.

    To observe and record this growth pattern in real time, we will use a spectrophotometer (an instrument that measures the amount of light absorbed by a sample). The spectrophotometer works by passing a beam of light through a liquid culture and measuring how much light is absorbed by the bacterial cells. The more cells present in the medium, the cloudier (or more turbid) it becomes, and the more light is absorbed.

    The instrument emits light at a specific wavelength (the distance between peaks in a light wave), and the optical density (OD) (a measure of how much light is absorbed by a liquid sample) of the sample is determined based on how much light is blocked. Bacteria absorb red light efficiently, so in this exercise, we will use red light to assess culture density.

    Two types of readings are possible: transmittance (the amount of light that passes through the sample) and absorbance (the amount that is blocked). We will be using the absorbance scale, which is more commonly used in scientific applications. Be sure to read only from the absorbance (OD) scale for consistency. Switching between transmittance and absorbance mid-experiment will produce invalid results.

    Absorbance is measured on a logarithmic scale, which means the values increase in multiples rather than in equal steps. This is appropriate because bacterial populations also increase logarithmically during the log phase of growth. Therefore, optical density is directly proportional to the number of cells per milliliter (cells/mL) in the culture. By taking OD measurements at regular time intervals, you will be able to graph the bacterial growth curve and visually identify each phase based on changes in population density.

    Knowing the generation time of a bacterial species is critical in microbiology and allied health fields. It helps predict the speed at which infections can spread, informs decisions in antibiotic treatment timing, and plays a central role in industrial and clinical applications involving microbial growth. Understanding these growth dynamics also aids in the design of experiments and in the development of protocols to control or encourage microbial proliferation.

    Knowing the generation time is essential when conducting metabolic testing, which refers to laboratory procedures used to identify microorganisms based on the chemical reactions they perform to acquire energy and nutrients. These tests detect specific metabolic activities—such as sugar fermentation, enzyme production, or utilization of particular substrates—that help distinguish one bacterial species from another. To obtain accurate results, it is important that cultures are in the log phase of growth, when cells are most metabolically active. If testing is performed during the lag, stationary, or death phases, the cells may be too inactive or stressed to express key metabolic traits, increasing the risk of inaccurate or false-negative results.

    Accurately monitoring bacterial growth and identifying when a culture is in the log phase are critical for ensuring reliable results in both clinical diagnostics and microbiological research.

     

    growth curve 2.jpg
     9.1: How Microbes Grow is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by OpenStax via source content that was edited to the style and standards of the LibreTexts platform.

    1.  

     

    MATERIALS 

    • 1 Nutrient Broth flask

    • 2 Cuvettes 

    • Spectrophotometer

    • 5 mL E. coli

    METHODS/PROCEDURES

    The spectrophotometers will be turned on and warmed up prior to the start of lab. Use the same spectrophotometer for all readings. 

    Step 1: Zero the Spectrophotometer

    1. Set the spectrophotometer to absorbance

    2. Set the wavelength to 620 nanometers 

    3. Use a sterile transfer pipette to transfer 1mL of nutrient broth from the flask into a clean cuvette. 

    4. Follow the directions next to the spectrophotometer to zero out the machine. 

    5. Set the cuvette with the nutrient broth aside incase you need to re-zero the spectrophotometer. 

    Step 2: Record Your Time Zero Reading

    1. Add 5 mL of E. coli to the flask (obtain the culture from your instructor)

    2. Gently swirl the flask to evenly distribute the bacteria in the medium

    3. Use a sterile transfer pipette to transfer 1mL of the culture from the flask into a clean cuvette. 

    4. Place the cuvette in the spectrophotometer and record the OD in the results section

    5. Transfer the culture from the cuvette back into the culture flask. 

    6. Place the culture flask in the incubator shaker. Remember to leave the cap slightly loose to enable gas exchange. 

    7. Repeat steps 3-6 every 15 minutes until the end of the lab period

     

    The following is to be completed during lab then turned in on Canvas as a PDF 

    *If you are using an iPad or tablet you will need to take screen shots of your competed work, save the screenshots as one PDF then submit them on Canvas by the due date designated on Canvas. 

    *You can also print out the entire exercise to bring to lab with you. If you choose to complete the lab on paper, take pictures of the completed results and conclusions sections only, save them as one PDF, then submit to Canvas by the due date designated on Canvas. 

    Bacterial Growth Curve

    NAME ______________________

    EXPECTATIONS

    Which phases of growth do you anticipate you will be able to see during the lab period today?

     

    RESULTS  

    Record the OD readings in the table below.

    A white sheet with black lines

Description automatically generated

    Logarithmic growth (the phase during which bacterial cells divide at a constant and rapid rate) will appear as a straight line when plotted on semi-logarithmic graph paper. When you connect your recorded data points, the resulting line may show minor fluctuations due to slight inconsistencies in measurement. Despite this, the underlying pattern of growth remains linear during the log phase. To accurately represent this trend, draw a “best-fit” straight line through the points that correspond to this phase.

    Use your data to estimate the most accurate straight line possible through the log phase. It is expected that some early or late data points may not align perfectly with this line, as they may represent the lag or stationary phases. The slope of the line indicates the rate of growth: a steeper slope corresponds to a more rapidly growing culture, while a less steep slope indicates slower growth.

    Plot your data on the semi log graph paper

    A graph paper with lines

AI-generated content may be incorrect.



     

    Calculate the Generation Time
    1.  Using a red pen or pencil, place a red dot on your graph at any point along the best-fit straight line representing the logarithmic growth phase. Record the optical density (OD) and the corresponding time for this point in the spaces provided below.

    2.  Next, place a second red dot on the same best-fit line at the point where the OD is exactly double that of the first dot. Record the OD and the corresponding time for this second point. Since the OD has doubled, this indicates that the number of cells has also doubled.

     The time it took to go from the first OD value to the second represents the generation time—the time required for the bacterial population to double.

    OD at 1st red dot __________ Time at 1st red dot  __________

    OD at 2nd red dot __________Time 2nd at red dot __________

    Generation time                _

    CONCLUSIONS

    1. Were you able to record all four phases of bacterial growth? If any phases were missing or unclear, identify which ones and explain why you think they were not observed.

     

    2.  If a culture has an optical density (OD) reading of 0.03 when there are one million cells per milliliter, how
        many cells per milliliter would be present if the OD reads 0.015?

     

    3.  Based on the culture described in question 3, what OD reading would you expect for a sample containing six
        million cells per milliliter?

     

    4.  What does it indicate if the OD of a culture remains unchanged over several consecutive sample times?

     

    5.  If a sample of Escherichia coli containing one million cells per milliliter has an OD reading of 0.23, would
        you expect the same OD, a higher OD, or a lower OD for a sample containing one million fungal cells per
        milliliter? Explain your reasoning.

     


    This page titled 10: BACTERIAL GROWTH CURVE is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Emalee MacKenzie.

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