Prep: 15 mins | Activity: 30-45 mins
This is a scenario-based activity in which students must use bacterial growth data to determine the carrying capacity of an “ideal” growing medium and then determine how two different treatments affect the growth and carrying capacity of the medium. Students must graph data, identify the carrying capacity of the system, and then explain how the treatments affected bacterial growth. Graphing may be completed by hand or digitally depending on the skill level of the students.
Look carefully at the colonies of Escherichia coli in the photo above. What questions could you ask about bacterial growth, colony size, and the carrying capacity of the plate and medium in which it’s growing?
How can mathematical representations be used to identify carrying capacity of an ecosystem?
PE HS-LS2-1. Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scales.
Using Mathematics and Computational Thinking
LS2.A: Interdependent Relationships in Ecosystems
Scale, Proportion, and Quantity
No PPE is required for the activity.
Copy or upload student activity page. There is no disposal of waste materials.
These procedures were followed to generate
the data below:
Average Data for 100 Plates
Why was it necessary to test 100 untreated plates?
The untreated plates are a control for the research project. Optimal growth media or growing environment of the control plates allow for the establishment of the carrying capacity of the medium under the best bacterial growing conditions. The treated growth medium can then be compared to the control to determine if the treatments of the growth medium changed the time to reach carrying capacity and the amount of E. coli at the carrying capacity.
Use the data to explain how treatment A detergent and treatment B detergent affected the E. coli /petri dish ecosystem.
Treatment A decreased the amount of time the E. coli was maintaining carrying capacity individuals and carrying capacity was achieved at about 175 min. The number of cells at carrying capacity also decreased to about 5000 cells. Detergent A decreased maximum growth and the time it took to reach maximum growth. Treatment B had even a shorter time at carrying capacity (about 15 min.), and the number of cells at carrying capacity dropped to about 2600 cells. Carrying capacity was achieved at about 160 minutes which is another decrease. Detergent B showed additional impedance in E. coli growth.
Assuming that both detergents are safe for human consumption and animals, make an argument for which treatment detergent would you recommend for the next stage of testing?
Both detergents showed a decrease in the amount of cell growth and a lower number of cells at carrying capacity. Detergent B had larger decreases than Detergent A and cell growth peaked earlier with Detergent B. Since this product is designed to be used in the field as leafy vegetables are picked, I would recommend further research on Detergent B. The next research step could be to test the detergent on the vegetables with E. coli bacteria present. Researchers will also need to determine how the detergent affects the vegetable itself- color, freshness, odor, how long it stays fresh.
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