IGEM:IMPERIAL/2008/New/Growth Curve

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{{Imperial/Box1|Results|
{{Imperial/Box1|Results|
The model for the growth curve was fitted to the experimental results as shown below.  The experimental results is depicted by the red curve, while our model is shown by the green curve. The resource curve was also plotted as a function of time and is shown below. Based on our experimental results from the Wet Lab, a log graph was plotted to determine the growth rate.  The growth rate was then determined from the gradient of the log graph.  This value was included when simulating the growth model using MATLAB.
The model for the growth curve was fitted to the experimental results as shown below.  The experimental results is depicted by the red curve, while our model is shown by the green curve. The resource curve was also plotted as a function of time and is shown below. Based on our experimental results from the Wet Lab, a log graph was plotted to determine the growth rate.  The growth rate was then determined from the gradient of the log graph.  This value was included when simulating the growth model using MATLAB.
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|[[Image:Log_graph.tif|thumb|Log-Graph used to determine the growth rate]]}}
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|[[Image:Log_graph.tif|Log-Graph used to determine the growth rate]]}}
The following constants used to generate the model were found to yield the best fit to experimental results.
The following constants used to generate the model were found to yield the best fit to experimental results.

Revision as of 07:17, 30 September 2008






  Growth Curve

Results

The model for the growth curve was fitted to the experimental results as shown below. The experimental results is depicted by the red curve, while our model is shown by the green curve. The resource curve was also plotted as a function of time and is shown below. Based on our experimental results from the Wet Lab, a log graph was plotted to determine the growth rate. The growth rate was then determined from the gradient of the log graph. This value was included when simulating the growth model using MATLAB.

Log-Graph used to determine the growth rate


The following constants used to generate the model were found to yield the best fit to experimental results.

GROWTH CONSTANT: A = 1.3494

INITIAL NUTRIENT CONCENTRATION: R_0 = 2

HILL COEFFICIENT: n = 1.25

INITIAL OD = 0.4

CONSTANT: α = 0.64516


Experimental Results
Fitted Curve
Resource Curve




Background Information of Modelling the Growth Curve

The aim of modelling the growth curve is to characterise the B. subtilis chassis used in the project. Characterisation increases the predictability of the growth of B. subtilis by determining, for example, its growth rate and the duration of its distinctive growth phases.


How to model the growth curve?

The Model




Discussion

Dry lab hub

Growth Curve

Genetic Circuit

Motility

Appendices



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