Team:HZAU-China/Modeling/Gray logistic

From 2013.igem.org

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     <p><br></p>
     <p><br></p>
      
      
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<h3>Aim:</h3>
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<p style="font-size:16px;font-family:arial, sans-serif;">To know the growth curve in the dog’s blood</p>
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<h3>Steps:</h3>
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<p style="font-size:16px;font-family:arial, sans-serif;">1.Do experiment to measure the number of bacteria; </p>
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<p style="font-size:16px;font-family:arial, sans-serif;">2.Establish the gray logistic model to simulate the growth of bacteria;</p>
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<p style="font-size:16px;font-family:arial, sans-serif;">3.Determine the parameter through the experiment;</p>
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<p style="font-size:16px;font-family:arial, sans-serif;">4.Test the predicted results.</p>
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<h3>Results:</h3>
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<p style="font-size:16px;font-family:arial, sans-serif;">The gray logistic model gets the good forecasting result.And the model precision is excellent.</p>
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<h3>Background:</h3>
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<p style="font-size:16px;font-family:arial, sans-serif;">The color of blood is so deep that it is not fit to measure the OD value to determine the growth of bacteria in the blood.Then we choose dilution-plate method to detect the number of total bacteria. So we coated a large number of plates.The logistic model of population can well predict the increase of population.</p>
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<h3>Establish the logistic model:</h3>
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<p style="font-size:16px;font-family:arial, sans-serif;">In the environment of the blood,the number of bacteria have a maximum value K.And when the number of bacteria approach K,the growth rate is next to nil.Then the population growth equation is as follows: </p>
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<h3>黑体</h3>
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<p style="font-size:16px;font-family:arial, sans-serif;">段落</p>
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<h3>黑体</h3>
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<p style="font-size:16px;font-family:arial, sans-serif;">段落</p>
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Revision as of 12:36, 25 September 2013


Gray logistic


Aim:

To know the growth curve in the dog’s blood

Steps:

1.Do experiment to measure the number of bacteria;

2.Establish the gray logistic model to simulate the growth of bacteria;

3.Determine the parameter through the experiment;

4.Test the predicted results.

Results:

The gray logistic model gets the good forecasting result.And the model precision is excellent.

Background:

The color of blood is so deep that it is not fit to measure the OD value to determine the growth of bacteria in the blood.Then we choose dilution-plate method to detect the number of total bacteria. So we coated a large number of plates.The logistic model of population can well predict the increase of population.

Establish the logistic model:

In the environment of the blood,the number of bacteria have a maximum value K.And when the number of bacteria approach K,the growth rate is next to nil.Then the population growth equation is as follows:

黑体

段落

黑体

段落


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