Team:TU Darmstadt

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It is estimated that about a quarter of the world’s food crops is affected by harmful microtoxins produced by mould fungus.  
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It is estimated that about a quarter of the world’s food crops is affected by harmful microtoxins produced by mould fungus. <br>
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FAO and WHO have developed three benchmarks of risk analysis: risk assessment, risk management and risk communication.  
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FAO and WHO have developed three benchmarks of risk analysis: risk assessment, risk management and risk communication. <br>
Our detection system covers those three benchmarks.
Our detection system covers those three benchmarks.
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<br><a href="https://2013.igem.org/Team:TU_Darmstadt/problem"><font size="4"><B>Click</B></font></a> <font size="4"> to read more.</font><br><br><br><br><br><br><br><br><br></font>
<br><a href="https://2013.igem.org/Team:TU_Darmstadt/problem"><font size="4"><B>Click</B></font></a> <font size="4"> to read more.</font><br><br><br><br><br><br><br><br><br></font>
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Revision as of 17:27, 24 September 2013

Darmstadt_Grafik_1

PROBLEM

It is estimated that about a quarter of the world’s food crops is affected by harmful microtoxins produced by mould fungus.
FAO and WHO have developed three benchmarks of risk analysis: risk assessment, risk management and risk communication.
Our detection system covers those three benchmarks.


Click to read more.








Darmstadt_Grafik_4

SOLUTION
To easily detect biological toxins we developed a handy device, everybody is able to operate reliably.





Click to read more.








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RESULT
Short abstract . . . . . . . . . "result"





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Mycotoxins produced by mould fungus are present in our daily life and are harmful for humans as well as for animals. The danger of contamination of gain and other natural products has fatal consequences for the economy and the supply of whole nations. The mycotoxins which are permanently formed by the fungus, can be used as biomarkers to detect contamination. We want to develop a handy device which allows an easy and reliable detection of mycotoxins. To achieve this goal our team uses various methods from the fields of synthetic biology, electrical engineering and information processing. The detection system relies on E.coli with modified aspartate receptors (TAR) which interact with specific mycotoxins. If these are present in the reviewed sample they will bind to the receptor and induce a conformational change and thereby generates a measurable FRET-beacon by bringing two flourophores in close distance to each other. The modified E.coli will be embedded in interchangeable capsules. Together with a handheld-device they will guarantee that measurements can be done quickly, easy to operate and secure. The data will be transferred from the handheld system to an Android smartphone app which will be able to analyze, illustrate and store the test results for the user.



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