Chapter 24: Problem 37
The doubling time for Escherichia coli is 20 minutes, and you start getting sick when just 10 bacteria enter your system. How many bacteria are in your body after 12 hours?
Short Answer
Expert verified
After 12 hours, there will be approximately 6.87 x 10^10 bacteria in your body.
Step by step solution
01
Understand Doubling Time
The doubling time is the period it takes for a quantity to double. For Escherichia coli, the doubling time is 20 minutes.
02
Convert Hours to Minutes
Convert 12 hours into minutes: 12 hours * 60 minutes/hour = 720 minutes.
03
Calculate the Number of Doubling Intervals
Determine how many 20-minute intervals fit into 720 minutes: 720 minutes / 20 minutes/interval = 36 intervals.
04
Apply the Doubling Formula
Use the formula for exponential growth: \( N = N_0 \times 2^n \) where \( N_0 = 10 \) (initial number of bacteria) and \( n = 36 \) (number of intervals).
05
Calculate the Final Number of Bacteria
Calculate the final amount: \( N = 10 \times 2^{36} \). Solving this gives \( N = 6.87 \times 10^{10} \) bacteria.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Doubling Time
Understanding doubling time is key to comprehending bacterial growth. Doubling time refers to the period it takes for a population to double in size. For Escherichia coli, or E. coli, this period is remarkably short at just 20 minutes. This means that under optimal conditions, E. coli can double every 20 minutes. Regularly breaking up microbial populations into periods makes predicting their growth more manageable.
For example, if we start with 10 bacteria and give it 20 minutes, we will have 20 bacteria. After another 20 minutes, we will have 40, and so on.
Understanding and calculating doubling time is essential in fields like microbiology and epidemiology, where predicting the speed of bacterial spread or infection rates is crucial.
For example, if we start with 10 bacteria and give it 20 minutes, we will have 20 bacteria. After another 20 minutes, we will have 40, and so on.
Understanding and calculating doubling time is essential in fields like microbiology and epidemiology, where predicting the speed of bacterial spread or infection rates is crucial.
Exponential Growth
Bacterial populations, including E. coli, typically grow exponentially under ideal conditions. Exponential growth means that the population size increases at a rate proportional to the current size.
The formula for exponential growth can be written as: \[ N = N_0 \times 2^n \] where:
- \( N \) is the final number of bacteria.
- \( N_0 \) is the initial number of bacteria.
- \( n \) is the number of doubling intervals.
This kind of growth results in very rapid increases in population size over relatively short periods. For instance, with the doubling time of 20 minutes, a single bacterial cell of E. coli can result in billions of cells in just a matter of hours.
The formula for exponential growth can be written as: \[ N = N_0 \times 2^n \] where:
- \( N \) is the final number of bacteria.
- \( N_0 \) is the initial number of bacteria.
- \( n \) is the number of doubling intervals.
This kind of growth results in very rapid increases in population size over relatively short periods. For instance, with the doubling time of 20 minutes, a single bacterial cell of E. coli can result in billions of cells in just a matter of hours.
Bacterial Growth Calculation
Let's break down the bacterial growth calculation using the example problem step by step.
First, convert the total time into units compatible with the doubling time. In our exercise, we convert 12 hours into minutes, which gives us 720 minutes.
Next, determine how many doubling intervals fit into those 720 minutes. Since the doubling time is 20 minutes, we divide 720 by 20, resulting in 36 doubling intervals.
Finally, use the exponential growth formula: \[ N = 10 \times 2^{36} \] Here, our initial population (\( N_0 \)) is 10 bacteria, and we have 36 doubling intervals (\( n \)). Solving this, we find \( N = 6.87 \times 10^{10} \), which means after 12 hours, there are approximately 68.7 billion bacteria. This high value illustrates the speed at which bacteria can grow under ideal conditions.
First, convert the total time into units compatible with the doubling time. In our exercise, we convert 12 hours into minutes, which gives us 720 minutes.
Next, determine how many doubling intervals fit into those 720 minutes. Since the doubling time is 20 minutes, we divide 720 by 20, resulting in 36 doubling intervals.
Finally, use the exponential growth formula: \[ N = 10 \times 2^{36} \] Here, our initial population (\( N_0 \)) is 10 bacteria, and we have 36 doubling intervals (\( n \)). Solving this, we find \( N = 6.87 \times 10^{10} \), which means after 12 hours, there are approximately 68.7 billion bacteria. This high value illustrates the speed at which bacteria can grow under ideal conditions.
Escherichia coli
Escherichia coli, commonly known as E. coli, is a type of bacteria found in the intestines of humans and animals. Most strains are harmless and play a vital role in digestion. However, some strains can cause food poisoning and other serious health problems.
E. coli is frequently used in research due to its well-understood genetics and ability to grow rapidly. This makes it a model organism in biotechnology and microbiology.
Due to its short doubling time of 20 minutes, E. coli can proliferate very quickly under optimal conditions, making it essential to understand its growth patterns, especially for public health and medical fields. This rapid growth is beneficial in laboratory research but can pose significant risks if uncontrolled in natural or clinical settings.
E. coli is frequently used in research due to its well-understood genetics and ability to grow rapidly. This makes it a model organism in biotechnology and microbiology.
Due to its short doubling time of 20 minutes, E. coli can proliferate very quickly under optimal conditions, making it essential to understand its growth patterns, especially for public health and medical fields. This rapid growth is beneficial in laboratory research but can pose significant risks if uncontrolled in natural or clinical settings.