Team:Oxford/biosensor optimisation

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Having already made the mathematical models <u>(see the characterisation section)</u>, it was then important to:
Having already made the mathematical models <u>(see the characterisation section)</u>, it was then important to:
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• Analyse how varying the amount of each input added affected the response of the system.
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• Analyse how varying the amount of each input added affected the response of the system.<br>
• Guide the biochemistry on parameter values to aim for when making the system.
• Guide the biochemistry on parameter values to aim for when making the system.
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Revision as of 19:10, 9 September 2014


Biosensor


How can we get the best performance out of our biosensor?
To develop the biosensor to the highest quality that we could reach in the short time period available for the project, it was very important to incorporate mathematical modelling into the design process.

Having already made the mathematical models (see the characterisation section), it was then important to:

• Analyse how varying the amount of each input added affected the response of the system.
• Guide the biochemistry on parameter values to aim for when making the system.

Both of these helped us to save a lot of time and money. It fast tracked the development process because we didn’t then have to run lots of different variations of the tests and more importantly we didn’t have to build lots of different constructs containing different values of the parameters (for example, the degradation and expression rates).